Emblem of the Ministry of Higher Education and Scientific ResearchPeople’s Democratic Republic of Algeria · Ministry of Higher Education and Scientific Research

Molecular Biology

Understand the molecular mechanisms of life.

DegreeState Engineer
DurationEngineering cycle · three years

Molecular biology studies life at the level of DNA, RNA and proteins. The programme combines fundamental knowledge, analytical tools and data interpretation in genomics and molecular biotechnology.

A practical session in ESSBO’s laboratories
Learning through practice at ESSBO
01

Programme lead

Dr Fella Abdous

02

Department

Second Cycle Department

03

Programme objectives

Understand and use the properties of nucleic acids, proteins and metabolites. Connect genetics, genomics and biochemistry to analyse biological molecules, develop research tools and explore production of valuable biomolecules.

04

Subjects and teaching

Molecular biology, genetics, genomics, genetic engineering and bioinformatics; biochemistry, microbiology, immunology and enzymology. Workshops develop molecular analysis, project work and scientific interpretation.

05

Skills developed

Extract, purify and characterise biological molecules; analyse sequences and genomic data; use molecular diagnostic tools. Design an experimental approach, interpret findings and communicate scientific work in French or English.

06

Application areas

Genomics, molecular diagnostics, genetic engineering, sequence analysis and molecular biotechnology.

07

Organisation and practice

Laboratory practicals, workshops, mini-projects, case studies, internships and a final-year project. Project management and scientific communication complement technical skills.

08

Internships

Internships in research laboratories or companies.

09

Final-year project

A project drawing on scientific and practical learning.

10

Career pathways

Research, molecular diagnostics, genomic analysis and biotechnology.

11

Doctoral study and research

The programme prepares students for research and doctoral applications subject to admission requirements and available calls. ESSBO’s Biotechnology and Health and Microbial Biotechnology doctoral programmes extend this biological sciences research environment.

Curriculum · 2026

Your pathway, semester by semester

47 modules shown

Semester 19 modules
  1. Molecular Biology 1
    5 creditsCoefficient 3Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 70h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Molecular Biology 1

    Overview

    Recommended prior knowledge

    Cell biology, biochemistry and genetics.

    Objectives

    Learning objectives

    Students will acquire foundational knowledge of the structure and properties of nucleic acids and understand genome and gene organisation in prokaryotes and eukaryotes. The module also covers the molecular events involved in DNA replication and transcription, and in messenger RNA translation. Mechanisms of DNA damage and repair are examined in detail.

    Students will also be introduced to the integration of artificial intelligence (AI) into molecular biology, to develop biological data analysis skills and encourage innovative interdisciplinary approaches.

    Programme

    Course content:

    Introduction to molecular biology

    Definition

    Historical background

    The central dogma of molecular biology

    Structure of nucleic acids

    1. Chemical components of nucleic acids

    1.1. Nitrogenous bases

    1.2. Pentoses

    1.3. The phosphate group

    2. Nucleosides and nucleotides

    2.1. The N-glycosidic bond and the resulting nucleosides

    2.2. The phosphoester bond

    2.3. The pyrophosphate bond

    2.4. Nomenclature

    3. Nucleotide polymerisation

    3.1. Phosphodiester bonds and formation of nucleotide polymers

    3.2. Notation conventions

    4. Deoxyribonucleic acid (DNA)

    4.1. DNA structure

    4.2. Characteristics of the double helix

    4.3. Physicochemical properties of DNA

    4.4. Three-dimensional structure, compaction and higher-order organisation

    5. Ribonucleic acids (RNA)

    5.1. Structure and characteristics of ribonucleic acids

    5.2. Types of ribonucleic acids: synthesis and function

    6. Nucleic acid manipulation

    Exonucleases and restriction endonucleases.

    Genome and gene organisation

    Definitions

    Genome organisation

    2.1. Genome content

    2.2. Genome variability

    2.3. Similarities between genomes

    2.4. Prokaryotic genomes

    Chromosomal DNA

    Extrachromosomal DNA: plasmids

    2.5. Eukaryotic genomes

    Heterogeneity of DNA sequences

    Highly repetitive DNA

    Moderately repetitive DNA

    Non-repetitive DNA

    Mitochondrial DNA

    2.6. Genome plasticity and transposable elements

    Gene organisation

    3.1. In prokaryotes

    3.2. In eukaryotes

    3.3. Types of genes

    Single-copy genes; structural genes, regulatory genes, pseudogenes and housekeeping genes.

    Gene families and superfamilies: homologues, paralogues, orthologues and xenologues

    DNA replication

    Overview

    Fundamental principles of replication

    2.1. Semiconservative replication

    2.2. Origin of replication

    2.3. Bidirectional replication

    2.4. Unidirectional polymerisation

    2.5. Semidiscontinuous replication

    2.6. RNA primer

    Replication enzymes

    3.1. Helicases

    3.2. Topoisomerases

    3.3. Primase

    3.4. DNA polymerases

    3.5. DNA ligase

    Replication proteins

    Replication in prokaryotes

    5.1. Proteins involved

    5.2. Replication origins and termination in E. coli

    5.3. Stages of prokaryotic replication

    5.4. Regulation of replication in E. coli

    Replication in eukaryotes

    6.1. Eukaryotic DNA polymerases

    6.2. Telomeres and telomerases

    Histones and replication

    Replication of retroviral genetic material

    Variation and maintenance of genetic material

    Introduction

    DNA damage

    Endogenous damage

    Replication errors

    Tautomerisation

    Depurination and depyrimidination

    Deamination

    Methylation errors

    Damage caused by exogenous agents

    Damage caused by physical mutagens

    Damage caused by chemical mutagens

    Prevention

    Cellular responses to DNA damage

    DNA repair

    Immediate repair

    Repair during replication

    Direct reversal by photolyases

    Direct reversal by alkyltransferases

    Secondary repair

    Base excision repair (BER)

    Nucleotide excision repair (NER)

    Mismatch repair

    Repair of breaks by recombination

    The SOS response in E. coli

    Defects in repair systems: selected examples

    Genetic variation

    Types of point mutations

    Classification by the nature of the mutation

    Substitution, deletion and insertion mutations

    Classification by the consequence of the mutation

    Missense, nonsense, silent and frameshift mutations

    DNA transcription

    Overview

    The transcription unit

    Template strand and coding strand

    Transcription in prokaryotes

    Initiation

    Elongation

    Termination

    Rho-dependent termination

    Rho-independent termination

    Processing of primary transcripts

    Transcription in eukaryotes

    Distinctive features of eukaryotic transcription

    Eukaryotic RNA polymerases

    The protein complex required for transcription

    Eukaryotic promoters

    Initiation

    Elongation

    Termination

    Post-transcriptional mRNA processing in eukaryotes

    Capping

    Polyadenylation

    Splicing

    Translation

    The genetic code

    Components of the translation machinery

    2.1. Ribosomes: synthesis, structure and function

    2.2. tRNA: structure and role; aminoacyl-tRNA synthetases

    Structure of tRNAs and isoacceptor tRNAs

    Amino acid loading onto tRNA

    Stages of prokaryotic translation

    3.1. Initiation

    3.2. Elongation

    a. Coupling reaction

    b. Peptide bond formation and release of the first tRNA

    c. Translocation

    3.3. Termination

    Distinctive features of eukaryotic translation

    Post-translational modifications

    Definitions and examples

    Phosphorylation

    Histone acetylation and methylation

    p53 acetylation

    Introduction to applications of artificial intelligence in molecular biology

    Definition of AI and key concepts: algorithms, machine learning and deep learning

    Introduction to biological databases: NCBI, Ensembl and UniProt

    Introduction to BLAST, Clustal Omega and AlphaFold

    Introduction to AI applications in DNA/RNA sequence analysis: multiple sequence alignment and secondary structure prediction

    Introduction to computational and AI-based genome annotation tools, including DeepGene and GeneMark

    AI for promoter and alternative splicing prediction

    Protein structure modelling, active-site prediction and simulation of translation

    Tutorials:

    Tutorial 01: Structure of nucleic acids

    Tutorial 02: Genome and gene organisation

    Tutorial 03: DNA replication

    Tutorial 04: Variation and maintenance of genetic material

    Tutorial 05: DNA transcription

    Tutorial 06: mRNA translation

    Tutorial 07: AI applications in molecular biology

    Introduction to biological databases, bioinformatics tools and AI: BLAST, Ensembl and AlphaFold

    Classifying sequences by similarity

    Using a simple AI-assisted alignment tool

    Basic demonstration of a supervised learning algorithm, such as a decision tree for classifying mutations as benign or pathogenic

    Predicting RNA and protein structures with online AI tools

    Assessment

    Assessment: Continuous assessment: 40%; Examination: 60%.

    References

    References: Books, course handouts, websites, etc.
  2. Microbial Engineering
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Microbial Engineering

    Overview

    Recommended prior knowledge

    Microbiology, biochemistry, genetics and chemistry.

    Objectives

    Learning objectives

    This course examines different areas of microbiology and bioengineering: the use of continuous and batch bioreactors with prokaryotic and eukaryotic microorganisms; the production, extraction and applications of microbial metabolites; and the analysis of parameters involved in microbial fermentation.

    Programme

    Course content

    Part 1: Microbial metabolism and microbial kinetics

    Chapter 1: Culture media and exchange with the cell

    Growth conditions

    Substrate accessibility

    Chapter 2: Kinetic study of microbial growth

    Chemical balance

    The biological phenomenon

    Modelling

    Chapter 3: Kinetic study of metabolite production

    Chemical balance

    The biochemical phenomenon

    Modelling

    Optimisation

    Part 2: Bioengineering

    Chapter 1: Microbiological basis of bioreactor design
    Chapter 2: Transport phenomena in fermentation

    Oxygen transfer

    Bioreactor agitation

    Agitator construction

    Chapter 3: Bioreactor operating modes

    Batch fermentation

    Fed-batch fermentation

    Continuous fermentation

    Continuous fermentation with biomass recycling

    Chapter 4: Types of bioreactors
    Chapter 5: Fermentation facilities

    Sterilisation and maintenance of aseptic conditions

    Compressed-air distribution

    Ancillary equipment

    Process control and automation

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites, etc.
  3. Molecular Biology Techniques and Methods
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Molecular Biology Techniques and Methods

    Overview

    Recommended prior knowledge

    Knowledge of biology and molecular genetics.

    Objectives

    Learning objectives

    This module enables students to understand molecular biology analysis techniques and strategies, together with their applications.

    Programme

    Course content:

    Extraction and purification of chromosomal and plasmid DNA

    RNA extraction techniques

    Electrophoresis and analysis of DNA digested with restriction enzymes

    Bacterial transformation

    PCR and its variants

    Cloning and sequencing techniques

    Southern blot, Northern blot, Western blot and dot blot

    Molecular hybridisation

    Assessment

    Assessment: Continuous assessment: 40%; Examination: 60%.

    References

    References: Books, course handouts, websites, etc.
  4. Fundamental Enzymology
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Fundamental Enzymology

    Overview

    Recommended prior knowledge

    Biochemistry and organic chemistry

    Objectives

    Learning objectives

    The programme provides foundational knowledge of enzymes, their structure and function, supported by the energetics of enzyme-catalysed reactions, enzyme kinetics and the different mechanisms regulating enzyme activity.

    Programme

    Course content
    Chapter 1: Introduction to enzymology

    Historical background

    Definition

    Structure

    Enzyme properties and characteristics

    Nature

    Specificity

    Efficiency

    Compatibility with the environment and stability

    Concentration

    Location

    Size

    Nomenclature and classification

    Nomenclature

    Functional nomenclature

    Official nomenclature

    Classification

    Oxidoreductases

    Transferases

    Hydrolases

    Lyases

    Isomerases

    Ligases

    Translocases

    Chapter 2: Structure–function relationships

    Functional structure

    Isoenzymes

    Active site

    Binding site

    Catalytic site

    Active-site amino acids

    Properties affecting enzyme–substrate binding

    Models of enzyme–substrate binding

    Forces involved in enzyme–substrate association

    Chapter 3: The enzymatic reaction

    Definition

    Reaction mechanism

    Factors

    Enzyme

    Substrate

    Cofactor

    Coenzyme

    Factors affecting the enzymatic reaction

    Physicochemical factors

    Effectors

    Substrate concentration

    Enzyme concentration

    Reaction time

    Two-substrate enzyme reactions

    Sequential mechanism

    Double-displacement mechanism

    Chapter 4: Enzymatic reaction energetics

    Activation energy, Ea

    Transition state

    Enthalpy change, ΔH

    Gibbs free energy change, ΔG

    Spontaneity and reversibility

    Chapter 5: Enzyme kinetics

    Introduction to enzyme kinetics

    Basic chemical kinetics

    Phases of the enzymatic reaction

    Initial-rate concept

    Enzyme kinetics

    Michaelis–Menten kinetics

    Lineweaver–Burk linearisation

    Chapter 7: Molecular mechanisms of enzyme catalysis

    Proximity catalysis

    Covalent catalysis

    Acid–base catalysis

    Metal-ion catalysis

    Chapter 8: Enzyme inhibitors

    Introduction to inhibition

    Enzyme effectors

    Inhibitor categories

    Reversible inhibitors

    Irreversible inhibitors

    Applications of inhibitors

    Inhibitor design

    Chapter 9: Enzyme regulation

    Definition of enzyme regulation

    Regulatory enzymes

    Regulatory processes

    Allosteric regulation

    Regulatory molecules

    Covalent modification

    Proteolytic cleavage/proteolysis

    Regulation by isoenzymes

    Genetic regulation

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  5. Molecular Biology Workshop (01) : Molecular Biology Methods
    5 creditsCoefficient 3Semester hours: 60h00
    Lectures / week: Tutorials / week: Practicals / week: 04h00Other hours: 60h00

    Assessment: continuous assessment 60 % · exam 40 %

    Detailed programme unavailable.

  6. Microbial Engineering Workshop
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: Tutorials / week: Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Microbial Engineering Workshop

    Overview

    Recommended prior knowledge

    Knowledge of biochemistry and microbiology.

    Objectives

    Learning objectives

    This workshop introduces students to applied microbiology experiments. It demonstrates the value of experimental methods through applications involving enzyme production by lactic acid bacteria.

    By the end of the workshop, students should be able to:

    Develop microbiological concepts through straightforward experiments.

    Become familiar with basic laboratory instruments and understand their measurement principles through biochemistry experiments.

    Master basic sampling and microorganism isolation techniques.

    Programme

    Course content

    Introduction and explanation: review of laboratory safety.

    Preparation of culture media for isolating lactic acid bacteria.

    Isolation of lactic acid bacteria.

    Preliminary identification of isolates by morphological characterization, catalase and oxidase tests, and amino acid catabolism studies: lysine and ornithine decarboxylases (LDC and ODC), arginine dihydrolase (ADH) and tryptophan deaminase; purification of isolates.

    Screening for technological activities: proteolysis, lipolysis and caseinase activity, including measurement of casein degradation products by the Folin–Ciocalteu method; production of flavour compounds and exopolysaccharides (EPS); resistance to processing stresses involving acidic pH, salt, temperature and osmotic pressure; and selection of high-performing strains.

    Identification of selected high-performing strains using API50CH strips and analysis of results with API-WEB.

    Screening for biological activities: antimicrobial and antioxidant activity.

    Strain preservation.

    Cultivation in a fermenter.

    Measurement of microbial culture growth parameters.

    Kinetic study of lactic acid fermentation.

    Assay of fermentation products.

    Assessment

    Assessment: Continuous assessment 40%; examination 60%.

    References

    References: Books, course handouts, websites and other resources.
  7. Biochemistry of Secondary Metabolites
    2 creditsCoefficient 1Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: Other hours: 25h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    Biochemistry of Secondary Metabolites

    Overview

    Recommended prerequisites

    Basic biochemistry and cell biology.

    Objectives

    Learning objectives

    Explore the richness, diversity and functions of secondary metabolism in plants, microorganisms, animals and humans. Unlike primary metabolism supporting basic vital functions, secondary metabolism produces specialised compounds that may not be required for immediate survival but support adaptation, communication, defence and ecological interactions. Study evolutionary origins, chemical biodiversity and biotechnology, pharmacology, agriculture and environmental applications. “Secondary” does not describe every hormone or neurotransmitter listed later; distinguish their essential roles by context.

    Programme

    Course content

    Chapter I: Introduction and foundations

    Fundamental concepts of secondary metabolism

    Definitions and distinction between primary and secondary metabolism

    Taxonomic distribution and biodiversity of secondary metabolites

    Methodological approaches to secondary metabolite research

    Evolutionary and ecological aspects

    Evolutionary origins of secondary metabolism

    General ecological roles

    Intraspecific and interspecific interactions

    Environmental adaptations

    Chapter II: Secondary metabolites in plants

    Major classes of plant secondary metabolites

    Phenolic compounds and polyphenols

    Phenolic acids, flavonoids, anthocyanins and tannins

    Biosynthetic pathways and regulation

    Terpenes and terpenoids

    Classification, structures and properties

    Mevalonate and methylerythritol phosphate pathways

    Plant alkaloids

    Structural diversity and classification

    Biosynthesis from amino acids

    Glycosides and other compounds

    Biological functions in plants

    Defence against herbivores and pathogens

    Constitutive and inducible compounds

    Direct and indirect defence mechanisms

    Protection against abiotic stress

    Communication and interactions

    Intraplant signalling

    Allelopathy and rhizosphere interactions

    Attraction of pollinators and seed dispersers

    Biotechnological applications of plant metabolites

    Metabolic engineering for plant improvement

    Production of pharmaceutically relevant metabolites

    Agronomic and industrial applications

    Biofortification and nutrition issues

    Chapter III: Secondary metabolites in microorganisms

    Diversity of microbial secondary metabolites

    Fungal metabolites

    Mycotoxins and bioactive compounds

    Biotechnological applications

    Bacterial metabolites

    Antibiotics and antimicrobial compounds

    Siderophores and signalling molecules

    Metabolites of archaea and extremophiles

    Secondary metabolites of microalgae

    Chemical families of microbial metabolites

    Polyketides: structures, PKS biosynthesis; erythromycin and aflatoxin examples

    Nonribosomal peptides, NRPs: NRPS enzymatic mechanisms; bacitracin and surfactin examples

    Microbial terpenoids: MVA/MEP biosynthesis; geosmin and carotenoids

    Microbial alkaloids: cyanobacterial and actinomycete examples

    Siderophores: catechol/hydroxamate structures and iron acquisition

    Phenolic compounds: salicylic acid and protective pigments; phenazines listed here form a distinct chemical family and are not all phenols.

    Bioactive pigments: prodigiosin, melanin and pyocyanin

    Ecological roles and applications

    Functions in microbial ecosystems

    Intercellular communication and quorum sensing

    Biofilm formation and maintenance

    Interactions with plant and animal hosts

    Pathogenicity and virulence

    Symbiosis and mutualism

    Industrial and environmental applications

    Biorestoration and bioremediation

    Biocontrol and agronomic applications

    Production and manipulation techniques

    Fermentation and production optimisation

    Genetic engineering of microbial metabolic pathways

    Synthetic and semisynthetic approaches

    New metabolite-discovery strategies

    Chapter IV: Secondary metabolites in humans and animals, within the programme’s broader scope

    Introduction

    Distinctive features of animal secondary metabolites

    Comparison with plant and microbial metabolites

    Biosynthetic origins and pathway evolution

    Endogenous versus diet-derived metabolites

    Horizontal gene transfer and symbiotic metabolism

    Classification

    Alkaloids

    Distribution in marine and terrestrial species

    Structural and functional characteristics

    Phenolic compounds

    Dietary antioxidants

    Endogenous transformation and metabolism

    Terpenoids

    Steroids and steroid hormones; not all are secondary metabolites.

    Pheromones and volatile signalling compounds

    Glycosides

    Bioactive derivatives and glycoconjugates

    Physiological roles and applications

    Secondary metabolite biosynthesis pathways

    Terpene pathway

    Steroid, hormone and pheromone synthesis

    Hormonal and environmental regulation

    Polyketide pathway

    Bioactive compound production in marine species

    PKS enzymes and multienzyme complexes

    Nonribosomal peptides, NRPs

    Animal toxins and venoms; distinguish ribosomal from nonribosomal origins rather than classifying all as NRPs.

    Synthesis mechanisms and structural diversification

    Amino-acid-derived pathways

    Biogenic amine and neurotransmitter production

    Neuropeptides and biological modulators

    Origin and distribution

    Dietary origin versus endogenous biosynthesis

    Incorporation and transformation mechanisms

    Detoxification and bioactivation

    Taxonomic distribution

    Vertebrates: amphibians, reptiles, birds and mammals

    Invertebrates: insects, molluscs and echinoderms

    Metabolites from microbial symbionts

    Role of intestinal and tissue microbiomes

    Host–microbiota metabolic interactions

    Physiological functions and biological roles

    Chemical defence

    Venoms, toxins and repellents

    Environmental adaptation and predation

    Communication

    Pheromones and chemical signalling

    Social and behavioural mediators

    Metabolic regulation

    Homeostasis and physiological adaptation

    Endocrine and neurological control

    Protective functions

    Antioxidant properties

    Immune and antimicrobial functions

    Extraction, analysis and investigation methods

    Therapeutic and nutritional applications

    Perspectives, challenges and current research

    Chapter V: Secondary metabolism in yeasts and fungi

    Diversity of fungal and yeast secondary metabolites

    Mycotoxins: aflatoxins and ochratoxins

    Fungal antibiotics: penicillin

    Pigments: melanins and carotenoids

    Ecological functions and biological interactions

    Ecological competition

    Mutualistic or pathogenic interactions

    Biotechnological and industrial applications of relevant compounds

    Practical classes

    Screening, identification and extraction of secondary metabolites.

    Quantification of secondary metabolites.

    Purification: filtration, centrifugation, chromatography and electrophoresis.

    Preservation: cold/cryopreservation, evaporation and freeze-drying.

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  8. Research Strategies and Scientific Communication
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: Practicals / week: Other hours: 15h00

    Assessment: continuous assessment 40 % · exam 60 %

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    S1
    Research Strategies and Scientific Communication

    Overview

    Recommended prior knowledge

    French, English and computer skills.

    Objectives

    Learning objectives

    This module introduces students to information sources in biology and biotechnology, develops mastery of scientific research tools and strategies, and familiarises them with scientific writing practices suited to applied sciences and engineering. It also develops their understanding of scientific communication situations, enables them to master communication processes and formats including papers, oral presentations and posters, and introduces open science and communication with the general public.

    Programme

    Course content

    Part 1: Literature Searching and Scientific Writing

    Introduction to scientific research

    Types of documents and scientific literature

    Evolution of research methods

    Open science and open access

    Research methodology: advanced approaches

    Defining the study question using PICO and 3QPOC

    Selecting search tools: catalogues and multidisciplinary and specialist databases

    Using specialist search engines and full-text platforms

    Optimising and using search results

    Assessing the relevance of sources

    Reliability, currency and accuracy of information

    Reference management and bibliographic software, including EndNote, Zotero and Mendeley

    Modern scientific writing

    Analysing papers and preparing reports

    Writing a final-year dissertation

    Writing scientific papers and conference contributions

    Part 2: Scientific Communication and Knowledge Dissemination

    Issues and purposes of scientific communication

    Why and how should science be communicated?

    Modern strategies and techniques for written and oral expression

    Scientific interactions and exchanges in academic settings

    How scientific exchanges work

    Presenting and promoting research

    Using digital tools to improve visibility

    Open science and public science communication

    Strategies for reaching the general public

    Use of digital media and new technologies

    Interaction with the press and media

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.
  9. English for Biologists — Starter
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: Practicals / week: Other hours: 05h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S1
    English for Biologists — Starter

    Overview

    Recommended prior knowledge
    Prior knowledge of basic English

    Objectives

    Learning objectives

    The objective of this course is to provide students with a solid foundation for communicating (both written and spoken) in English.

    Programme

    Course content

    Unit 1: Tell us about yourself

    Grammar: Tenses (present, past, future). Question forms (where, what, who, why, how much).

    Vocabulary: words with more than one meaning.

    Reading: Cell communication.

    Speaking: students of ESSBO and ESG2E talking about each other.

    Listening: Listening to a scientist speaking about his/her career.

    Writing: Informal letter.

    Unit 2: The way we live

    Grammar: Present tenses: present simple, present continuous.

    Vocabulary: At the laboratory.

    Reading: Living in Oran.

    Speaking: Share with us your experience about living on campus.

    Listening: Student life at MIT.

    Writing: Transition (linking words).

    Unit 3: Biologist from the past

    Grammar: Past tenses: past simple, past continuous.

    Vocabulary: Time expressions.

    Reading: The extraordinary history of Kitab al-Hayawan.

    Speaking: Telling stories.

    Listening: Rosalind Franklin and the discovery of DNA.

    Writing: write a short story about your favourite scientist.

    Unit 4: Let’s go shopping

    Grammar: Much/Many, Some/Any.

    Vocabulary: Grocery shop.

    Reading: Medina Jdida popular market.

    Speaking: Talking about shopping habits.

    Listening: Organic Food Market.

    Writing: Short essay writing about biomolecules market.

    Unit 5: What do you want to do?

    Grammar: Verb patterns, Expressing intentions

    Vocabulary: Have, go, come.

    Reading: what a DNA polymerase can do

    Speaking: what are your plans?

    Listening: What does a biological engineer do?

    Writing: a molecular biology enzyme talking about its function

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.

    Molecular Biology 2

    Molecular Genetics of Microorganisms

    Cell Biology in Vitro and in Vivo

    Protein Engineering

    Molecular Biology Workshop 2 — Application to a Microbial Model

    Biochemistry Workshop

    Discovery teaching unit

    Epigenetics

    Cytogenetics

    Transversal teaching unit

    English for Biologists — Elementary

Browse available syllabuses
Semester 29 modules
  1. Molecular Biology 2
    5 creditsCoefficient 3Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 70h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Molecular Biology 2

    Overview

    Recommended prior knowledge

    Genetics, gene expression, cell signalling and communication, and biodiversity.

    Objectives

    Learning objectives

    This teaching unit covers three parts. The first explains the synthesis and mechanisms of action of interfering RNAs and highlights their significance and applications. The second explains the different mechanisms regulating gene expression. The third describes molecular biology tools used to study the genetic diversity of species.

    Students will also be introduced to the contribution of artificial intelligence (AI) to analysing the mechanisms covered in the first parts of the programme: interfering RNA synthesis and action, regulation of gene expression, and genetic diversity of species. This supports a deeper, innovative understanding of molecular mechanisms and an introduction to using big data in biology.

    Programme

    Course content

    Part 1: RNA interference

    History and fundamental mechanisms of RNA interference

    1. History of RNA interference

    2. Fundamental mechanisms of RNA interference

    2.1. Small interfering RNAs (siRNAs)

    2.1.1. Biosynthesis

    2.1.2. Mechanism of action

    2.2. MicroRNAs (miRNAs)

    2.2.1. Biosynthesis

    2.2.2. Mechanism of action

    2.3. PIWI-interacting RNAs (piRNAs)

    2.3.1. Biosynthesis

    2.3.2. Mechanism of action

    Practical implications for siRNA design

    1. Influence of the intrinsic properties of siRNA

    2. Constraints imposed by the target transcript

    Significance of RNA interference

    1. A tool for understanding gene function

    2. A tool for numerous therapeutic applications

    Constraints associated with transfection of short nucleic acid sequences

    1. Stability of interfering RNAs

    2. Biodistribution

    Part 2: Regulation of gene expression

    Regulation of transcription

    Regulation of transcription in prokaryotes

    What is an operon?

    An inducible catabolic operon under negative and positive regulation: the E. coli lactose operon

    A repressible anabolic operon: the E. coli tryptophan operon

    Regulation by conversion of a repressor into an activator: the E. coli arabinose operon (araBAD)

    Other examples of operons

    Regulation of open-complex formation

    Regulation of the transition to elongation

    Regulation of transcription in eukaryotes

    Regulation at the chromatin level

    Histone acetylation and methylation

    DNA methylation

    Transcriptional regulatory elements

    Classes of transcriptional regulators

    How transcriptional activator proteins function

    Transcriptional repressors

    Enhancer and silencer regulatory sequences

    Gene silencing and epigenetic regulation

    Post-transcriptional regulation in eukaryotes

    Alternative splicing

    Regulation by small RNAs

    Regulation of mRNA stability in eubacteria

    Components involved in degradation

    Exoribonucleases

    Endoribonucleases

    RNA pyrophosphohydrolase (RppH)

    Mechanisms of mRNA degradation

    The direct-access pathway

    The 5′-end-dependent pathway

    The 3′ exoribonucleolytic pathway

    Mechanisms regulating mRNA stability

    Regulation of RNase activity and concentration

    Effects of translation

    RNA-mediated interference

    Influence of the mRNA sequence

    Regulation of mRNA stability in eukaryotes

    Components involved in degradation

    Exoribonucleases acting at the 3′ end of mRNA

    Exoribonucleases acting at the 5′ end of mRNA

    Endoribonucleases

    Degradation mechanisms

    The major pathway

    Alternative pathways

    Mechanisms regulating mRNA stability

    The Lsm1–7 complex

    Regulation of deadenylation

    Regulation of the decapping complex

    Interfering RNAs: miRNAs, siRNAs and piRNAs

    Regulation of translation

    Introduction

    Regulation of translation initiation in eubacteria

    Regulation of access to the ribosome-binding site (RBS)

    Regulation through mRNA secondary structures

    Regulation of translation initiation in eukaryotes

    Regulation through translation initiation factors

    Phosphorylation of initiation factor eIF2

    Phosphorylation of 4E-BP proteins and availability of initiation factor eIF4E

    Inhibition of initiation by miRNAs

    Regulation through the 5′- and 3′-untranslated regions (UTRs) in eukaryotes

    Regulation through 5′-UTRs

    Interaction between 3′- and 5′-UTRs

    Regulation through the 3′-UTR

    Alternative initiation pathways

    Upstream open reading frames (uORFs)

    Initiation through an internal ribosome entry site (IRES) sequence

    Regulation during elongation or termination in eubacteria

    Regulation during elongation or termination in eukaryotes

    Post-translational regulation: degradation of intracellular proteins

    Introduction

    Chaperone proteins: chaperonins

    Proteolytic enzymes

    Protein ubiquitination

    The proteasome

    Lysosomal degradation

    Autophagy

    Part 3: Contribution of molecular biology to the study of genetic diversity

    Basic concepts

    Biodiversity

    Genetic diversity

    Measuring genetic diversity

    Morphological markers

    Protein markers: biochemical markers

    DNA markers: molecular markers

    Restriction fragment length polymorphism (RFLP)

    Amplified fragment length polymorphism (AFLP)

    Minisatellites

    Microsatellites

    Single-nucleotide polymorphisms (SNPs)

    Mitochondrial DNA markers

    Examples of applications

    Part 4: Artificial intelligence and molecular biotechnology

    Introduction to artificial intelligence models and the design of siRNAs and primers. Study of siDirect and RNAxs; siRNA design criteria and target-site accessibility.

    Introduction to artificial intelligence models applied to gene regulation. Study of DeepSEA for prediction of chromatin features and noncoding-variant effects; distinction from direct prediction of gene expression.

    AI-assisted molecular diagnosis.

    Applications of AI in phylogenetics, genetic clustering and variant detection (SNPs).

    Ethical perspectives and limitations of AI in molecular biology.

    Tutorials:

    Tutorial sheet 1: Regulation of gene expression in prokaryotes (1): the tryptophan and lactose operons

    Tutorial sheet 2: Regulation of gene expression in prokaryotes (2): the arabinose and histidine operons

    Tutorial sheet 3: Regulation of gene expression in eukaryotes (1): study of bdnf gene structure, expression and function

    Tutorial sheet 4: Regulation of gene expression in eukaryotes (2): study of c-myc gene expression regulation and function

    Tutorial sheet 5: AI analysis of biological sequences: predicting siRNA sequence efficacy, motif extraction and promoter recognition

    Tutorial sheet 6: Using notebooks (Google Colab) for simple examples of machine learning in biology: sequence classification and variant clustering

    Assessment

    Assessment: Continuous assessment: 40 %; Examination: 60 %.

    References

    References: Books, course handouts, websites, etc.
  2. Molecular Genetics of Microorganisms
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Molecular Genetics of Microorganisms

    Overview

    Recommended prior knowledge

    Basic microbiology, genetics and biochemistry

    Objectives

    Learning objectives

    The unit covers structural features and genetic/molecular mechanisms of gene expression in bacteria, archaea, eukaryotic microorganisms and viruses. It provides foundational knowledge of microbial genome organisation and function.

    Programme

    Course content:

    Introduction: diversity and origins of the microbial world

    The phylogenetic tree of life

    Definition

    The three domains: Bacteria, Archaea and Eukaryotes

    The last universal common ancestor, LUCA

    Phylogenetic approaches based on 16S/18S rRNA sequences

    Types of phylogenetic trees

    Morphological, metabolic and genetic diversity of microorganisms

    Prokaryotes versus eukaryotes

    Viruses

    Part 1: Bacteria

    Review of bacterial structure

    Permanent components

    Optional components

    Chapter 1: Bacterial genome

    Genome structure

    Bacterial chromosome

    Mobile genetic elements

    Plasmids

    - General plasmid organisation

    - Plasmid classification

    - Plasmid properties

    1.2.2. Transposons

    - General structure

    - Types of transposons

    - Bacterial transposition mechanisms

    Replicative transposition

    Conservative transposition

    c. Effects of transposition on bacterial genome expression

    1.2.3. Integrons

    - Definition

    - Integron structure

    - Gene cassette structure

    - Cassette movement

    - Cassette expression

    - Nature of cassettes

    - Integron origins

    1.2.4. Bacteriophages

    Definition

    Main characteristics

    Mechanisms: lytic cycle, lysogenic cycle and lysogenic conversion

    Prokaryotic gene organisation

    Chapter 2: Horizontal gene transfer

    Transformation

    Conjugation

    Transduction

    Genetic maps

    Part 2: Fungi, with yeast as a model system

    Review of yeast biology

    General principles

    Culture and nutrition

    Yeast genome

    Yeast transcriptome

    Yeast proteome

    Tetrad analysis of biochemical mutations

    Complementation and gene conversion

    Mitochondrial genetics

    Part 3: Archaea

    Review of archaea

    General principles

    Archaeal diversity, ecology and evolution

    Archaeal genetics

    Asgard archaea

    Part 4: Viruses

    Chapter 1: Introduction to virology
    Chapter 2: Molecular virology

    Virion structure and composition

    Viral infection cycle in a cell

    Representative cycles: DNA viruses, RNA viruses and retroviruses

    Virus–host interactions: cellular transformation, latency, antigenic variation, cancer, oncogenes and AIDS

    5. Vaccination and antiviral agents

    6. Handling and uses of viruses

    7. Unconventional agents and prions

    Chapter 3: Viral genetic variability

    1. Mechanisms: mutation, recombination and reassortment

    2. Dynamics of viral population evolution

    3. Factors driving viral population evolution

    Chapter 4: Biological consequences of viral population evolution

    1. Antigenic variation and evasion of vaccine-induced responses

    2. Antiviral treatment resistance

    3. Host adaptation, interspecies transmission and viral emergence

    4. Changes in viral tropism and pathogenesis

    Chapter 5: Molecular modelling of viruses and viral protein structure–function relationships

    Viral structures and molecular assemblies

    Dynamic evolution and functional relationships of viral protein structures: envelope glycoproteins, proteases and polymerases

    Applications to antiviral and viral vaccine design

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  3. In Vitro and In Vivo Cell Biology
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: -Practicals / week: 01h30Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    In Vitro and In Vivo Cell Biology

    Overview

    Recommended prerequisites

    Knowledge of molecular biology and genetics.

    Objectives

    Learning objectives

    Introduce cell biology foundations for in vitro and in vivo systems: cell models, experimental culture conditions, methods for analysing cellular mechanisms and animal models in biomedical research. Develop experimental skills, independent selection of appropriate tools, good laboratory practice and scientific ethics.

    Programme

    Course content

    Part 1: In vitro biology

    Cell models and in vitro experiments

    1.1. Introduction to cell biology and experimental approaches

    Definition and objectives of cell biology

    Emergence and objectives of cell culture

    Defining in vitro, in vivo and in silico approaches

    Cell systems

    Primary culture of isolated cells

    Tissue origin and collection

    Enzymatic and mechanical isolation methods

    Cell-line culture

    Line types: immortalised and cancer-derived

    Advantages and limitations of primary cultures versus cell lines

    Criteria for selecting a cell system

    Recent 3D cultures

    Three-dimensional models: spheroids, organoids, organ-on-chip systems and 3D printing

    Advantages and limitations compared with 2D cultures

    Cell culture conditions

    Culture types

    Suspension culture: principles and applications

    Adherent culture: principles and applications

    Culture facilities and equipment

    Biological safety cabinets: functions and importance; correction of the source’s inaccurate expansion of the French acronym PSM.

    Incubators: temperature, humidity and CO₂

    Microscopes and monitoring equipment: observing and controlling cell growth

    1.3.3. Culture media

    Media composition: basal medium, growth factors, serum and antibiotics

    Adjusting pH, temperature and other specific parameters

    Good laboratory practice

    Contamination prevention and risk management

    Biological waste management: safety and disposal protocols

    Cell cryopreservation and thawing

    Cell cryopreservation and freezing techniques

    Freezing protocol and cryoprotectants such as DMSO

    Cell recovery and post-freezing quality checks

    Methods for studying cellular mechanisms

    Basic analytical techniques

    Flow cytometry

    Immunofluorescence and immunohistochemistry

    Electron, fluorescence and confocal microscopy, etc.

    Studying cell proliferation

    Cell growth-curve analysis

    Proliferation markers: Ki-67, EdU and BrdU

    Classical and recent methods: MTT, CCK-8 and high-throughput screening

    Studying cell viability and death

    Membrane-integrity testing with trypan blue; MTT measures metabolic activity rather than membrane permeability directly.

    Apoptosis markers: Annexin V, caspases and TUNEL

    Cell differentiation: models and specific markers

    Integrating in vitro approaches into biomedical research

    Models for high-throughput therapeutic compound screening

    Studying signalling pathways in disease

    Role of in vitro approaches in personalised medicine

    Limits of extrapolating in vitro results to in vivo systems

    Part 2: In vivo biology

    Introduction to animal experimentation in biomedical research

    Importance of animal models in scientific research

    Ethics of animal experimentation

    Criteria for selecting an animal model

    Mouse models and genetic manipulation

    Mouse embryonic stem cells

    - Blastocyst origin

    - Culture and characteristics

    - Use in disease modelling and cell therapy

    Genetic manipulation techniques

    - Transgenesis: pronuclear injection and gene transfer into mouse embryonic stem cells

    - Somatic cloning and nuclear transfer

    - Gene knockout and knock-in: Cre/loxP and CRISPR/Cas9 systems

    Mice in biomedical research

    - Modelling cancer, neurodegenerative and infectious diseases, etc.

    - Genetic advantages, reproducibility and available tools

    Contributions of the rat, Rattus norvegicus

    - Complementing mouse models in behavioural and metabolic studies

    Drosophila as a model for stem cells and human diseases

    Transition from mammalian models

    Obtaining mouse embryonic stem cells and induced pluripotent stem cells, iPS cells

    Limitations of mammalian models

    Ethical considerations and limits of mammalian stem-cell use

    Value of Drosophila in stem-cell biology

    Drosophila stem cells

    3.2.1. Germline stem cells in ovaries and testes

    3.2.2. Intestinal stem cells

    3.2.3. Other tissues: brain, follicles, etc.

    3.2.4. Experimental advantages

    Stem-cell regulation mechanisms

    3.3.1. Niche and microenvironment roles

    3.3.2. Conserved signalling: Notch, JAK/STAT, BMP and Wnt

    3.3.3. Transcriptional control and epigenetic regulation

    Reprogramming and cellular plasticity

    3.4.1. Dedifferentiation and cell-state transitions

    3.4.2. Modelling processes analogous to induced pluripotency

    Human disease modelling

    3.5.1. Neurodegenerative diseases: Parkinson’s, Alzheimer’s, etc.

    3.5.2. Cancer and stem-cell dysregulation

    3.5.3. Genetic screening and therapeutic target identification

    Caenorhabditis elegans: a simple model for complex human diseases

    Introduction to C. elegans

    Biological characteristics

    Experimental advantages

    Conservation of fundamental molecular pathways

    Studying ageing and longevity

    Physiological ageing models

    Genetic longevity pathways

    Pharmacological screens

    Metabolic and immune disorders

    Insulin resistance models

    Innate immune responses

    Therapeutic compound screening

    Limitations and ethical considerations

    Favourable ethical aspects

    Model limitations

    Avian embryos as models in neurobiology and paediatric oncology

    Introduction to the avian model

    General characteristics of the chicken embryo, Gallus gallus

    In ovo access to embryonic development

    Experimental advantages: manipulation, visualisation and ethical considerations

    Neuroblastoma: disease overview

    Neuroblastoma origins in neural crest cells

    Clinical features: paediatric tumour, heterogeneity and metastasis

    Modelling neuroblastoma in avian embryos

    Using the chorioallantoic membrane, CAM, for tumour-cell grafts

    Studying invasion, angiogenesis and metastatic dissemination

    In vivo visualisation and tumour-cell monitoring

    Experimental and preclinical applications

    Anticancer compound screening on the CAM

    Limitations, perspectives and complementarity

    Zebrafish as a model of melanoma and other human diseases

    General introduction

    Introducing the zebrafish model

    Technical and experimental advantages

    Biomedical and genetic relevance

    Melanoma overview

    Melanoma origin and progression

    Main mutations: BRAF, NRAS, etc.

    Diagnostic and treatment challenges

    Studying melanoma in zebrafish

    Generating transgenic models

    Visualising tumour progression in vivo

    Anticancer pharmacological screening tools

    Xenograft approaches and immunosurveillance

    Other diseases studied in zebrafish

    Neurological disorders: epilepsy and autism

    Cardiovascular diseases: cardiotoxicity and arrhythmias

    Ethical issues in stem-cell research

    Moral status of embryos

    Trafficking in organs from aborted fetuses: an ethical/legal issue in the programme, not a description of legitimate research practice.

    Exploitation of women

    Stem-cell research policies

    Laws and regulatory frameworks

    Role of politics and public opinion

    Influence on research policymaking.

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  4. Protein Engineering
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Protein Engineering

    Overview

    Recommended prior knowledge

    Structural and functional biochemistry

    Objectives

    Learning objectives

    Introduce amino acids, peptide formation and peptide-bond properties as a basis for understanding protein structures and biological function. Develop knowledge of natural proteins and theoretical/practical protein engineering, particularly structural stability and folding.

    Programme

    Course content
    Chapter 1: Amino acid structure/classification, peptides and the peptide bond

    Amino acid structure

    1.1. General structure: amino group, carboxyl group and side chain R.

    1.2. Polar, nonpolar, acidic, basic, aromatic and other classes.

    Peptides

    2.1. Peptide formation through peptide bonds.

    2.2. Peptides versus proteins.

    Peptide bond

    3.1. Condensation between one amino acid’s carboxyl group and another’s amino group.

    3.2. Rigidity, planarity and polarity.

    Chapter 2: Structural basis of proteins

    Levels of organisation

    1.1. Primary structure: linear amino acid sequence linked by peptide bonds.

    1.2. Secondary structure: local regular α-helices, β-sheets and turns.

    1.3. Tertiary structure: three-dimensional folding stabilised by noncovalent hydrophobic/ionic interactions and, where present, covalent disulfide bridges; the source incorrectly groups disulfides with noncovalent interactions.

    1.4. Quaternary structure: assembly of subunits into a functional protein, e.g. haemoglobin; the ribosomal complex cited in the source is a ribonucleoprotein assembly, not exclusively protein.

    Structural stabilising forces

    2.1. Hydrogen bonds

    2.2. Hydrophobic interactions and disulfide bridges

    2.3. Ionic interactions

    2.4. Van der Waals forces

    Structural motifs and domains

    3.1. β-barrel

    3.2. Zinc finger

    3.3. Helix–loop–helix

    Chapter 3: Protein stability, folding and dynamics

    Protein stability

    Protein folding

    Protein dynamics

    Methods for studying dynamics

    Chapter 4: Folding thermodynamics and kinetics

    Folding code and thermodynamic principles

    Folding kinetics

    Folding models

    3.1. Diffusion–collision

    3.2. Nucleation–condensation

    3.3. Zipping and assembly, ZA

    3.4. Jigsaw puzzle model

    3.5. Stoichiometric hypothesis, as named in the supplied source.

    Methods for studying stability

    4.1. Differential scanning calorimetry, DSC

    4.2. Circular dichroism, CD

    4.3. NMR, fluorescence and molecular dynamics

    Chapter 5: Protein denaturation

    Denaturing agents

    Reversibility of folding

    Functional consequences of denaturation

    Chapter 6: Protein folding in vivo

    Cellular folding mechanisms

    Molecular chaperones

    Disulfide bridge formation

    Proline isomerisation

    Conformational diseases, e.g. Alzheimer’s and Parkinson’s

    Chapter 7: Engineering protein–ligand interactions

    Principles

    Physicochemical mechanisms

    - Binding kinetics and thermodynamics

    Molecular docking in silico

    3.1. Docking definition

    3.2. Docking types

    3.3. Computational docking and modelling

    3.4. Applications using PDB, ChemSketch, Chem 3D Ultra and other resources; PubMed, named in the source, is a literature database, not a ligand-structure database.

    Chapter 8: Enzyme engineering

    History

    Enzyme design technology

    Enzyme classification

    Industrial applications

    Enzyme production

    5.1. Sources

    5.2. Screening

    5.3. Fermentation

    5.4. Purification

    Immobilised enzymes: principles and uses

    Chapter 09: Chemical modification of proteins

    Modification types

    1.1. PEGylation

    1.2. Glycosylation

    1.3. Phosphorylation

    Modification objectives

    2.1. Stability

    2.2. Half-life

    2.3. Activity

    2.4. Targeting

    Experimental modification techniques

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  5. Molecular Biology Workshop 2: Application to a Microbial Model
    5 creditsCoefficient 3Semester hours: 60h00
    Lectures / week: -Tutorials / week: -Practicals / week: 04h00Other hours: 60h00

    Assessment: continuous assessment 60% · exam 40%

    Explore this module
    S2
    Molecular Biology Workshop 2: Application to a Microbial Model

    Overview

    Recommended prior knowledge

    Molecular biology, genetics and biochemistry.

    Objectives

    Learning objectives

    These workshops train students in the molecular identification of bacterial isolates through DNA extraction, amplification and sequencing of the 16S rRNA gene, followed by bioinformatic analysis for strain identification and phylogenetic tree construction. Students also perform bacterial transformation of E. coli DH5α using a cloning vector and random mutagenesis of a bacterial strain of interest by exposing cells to different UV irradiation durations. They then assay the degradation product of a specific substrate to select mutants with the highest enzymatic activity.

    Programme

    Course content

    Workshop 1: Molecular identification of bacterial isolates

    Extraction of bacterial genomic DNA

    Quantitative and qualitative assessment of extracted DNA by electrophoresis and spectrophotometry

    Amplification of the 16S rRNA gene and verification of amplification

    Amplicon sequencing and in silico analysis: species-level identification of bacterial strains and phylogenetic tree construction

    Workshop 2: Bacterial transformation

    Students perform bacterial transformation of E. coli DH5α using a standard cloning vector to acquire genetic transfer and transformant selection skills.

    Workshop 3: Random mutagenesis

    Students induce random mutagenesis using different UV exposure durations, then screen for the optimal mutant producing a specific enzyme.

    Assessment

    Assessment: Continuous assessment and practical report 60%; examination 40%.

    References

    References: Books, course handouts, websites and other resources.
  6. Biochemistry Workshop
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: -Tutorials / week: -Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Biochemistry Workshop

    Overview

    Recommended prior knowledge

    Basic chemistry and structural biochemistry.

    Objectives

    Learning objectives

    This course introduces students to the main experimental approaches used in biochemistry and develops their ability to design, conduct and interpret experimental protocols. Through an appropriate methodological progression, it strengthens the practical skills needed to study biomolecules, emphasising scientific rigour, critical analysis of results and good laboratory practices. By the end of the course, students acquire the various basic techniques of biochemistry.

    Programme

    Course content

    Workshop 1: Solution preparation

    Review of concentration expressions (molarity, molality, normality, dilution, etc.)

    Buffers (preparation, pKa, buffer selection, etc.)

    Basic laboratory handling: glassware, volumes and pipetting

    Workshop 2: Protein precipitation methods

    Effect of pH (pI)

    Salt precipitation (salting-out)

    Solvent precipitation (ethanol)

    Workshop 3: Protein quantification by spectrophotometric methods

    Lowry method

    Bradford method

    Workshop 4: Size-exclusion chromatography

    Demonstration by separating coloured molecules (dextran blue / fluorescein)

    Application to protein purification

    Spectrophotometric analysis of collected fractions

    Workshop 5: Ion-exchange chromatography

    Application to whey protein purification

    Spectrophotometric analysis of collected fractions

    Affinity chromatography (IMAC: theoretical teaching)

    Workshop 6: Protein electrophoresis under denaturing conditions: SDS-PAGE

    Tricine-SDS-PAGE (peptide electrophoresis: theoretical teaching)

    Assessment

    Assessment: Laboratory report: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.
  7. Epigenetics
    2 creditsCoefficient 1Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: -Practicals / week: 01h30Other hours: 25h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Epigenetics

    Overview

    Recommended prior knowledge

    Molecular mechanisms of gene transcription.

    Objectives

    Learning objectives

    Epigenetics studies heritable changes in gene expression without alteration of the DNA sequence. This module develops an in-depth understanding of epigenetic mechanisms, their role in controlling gene expression, and their involvement in physiological and pathological processes. It provides a structured, updated overview of the main mechanisms regulating gene expression and preserving eukaryotic genome integrity.

    Programme

    Course content
    Chapter 1: Introduction to epigenetics

    Conceptual and historical foundations

    Definition and key concepts

    History and development of the field

    Chromatin architecture and nuclear organisation

    Chromatin structure and levels of organisation

    Methods for studying chromatin structure

    Chapter 2: Histone modifications and recognition mechanisms

    Histone modifications

    Histone structure, diversity and nomenclature

    Post-translational histone modifications

    Enzymes responsible for histone modifications

    Mechanisms recognising histone modifications

    Protein recognition domains

    The epigenetic histone code

    Protein complexes associated with histone modifications

    Chapter 3: DNA methylation and the role of noncoding RNAs

    DNA methylation and related modifications

    Biochemistry and distribution of DNA methylation

    5-methylcytosine (5mC) and its derivatives

    Genomic distribution: CpG islands and intergenic regions

    Symmetric and asymmetric methylation

    Non-CpG methylation in stem cells and neurons

    Enzymatic machinery of DNA methylation

    Maintenance DNA methyltransferase DNMT1

    De-novo DNA methyltransferases DNMT3A and DNMT3B

    DNMT3L and other cofactors

    Targeting and regulation of DNMT activity

    DNA demethylation: active and passive mechanisms

    Proteins recognising DNA methylation

    Noncoding RNAs and epigenetics

    Types of noncoding RNA involved in epigenetic regulation

    Long noncoding RNAs (lncRNAs)

    Small interfering RNAs (siRNAs)

    MicroRNAs (miRNAs)

    Circular RNAs and other emerging classes

    Epigenetic mechanisms of action of noncoding RNAs

    Recruitment of chromatin-modifying machinery

    Molecular scaffolding and formation of nuclear compartments

    Targeting specific sequences through complementarity

    Interactions with transcription factors

    Examples of epigenetic regulation by noncoding RNAs

    XIST and X-chromosome inactivation

    HOTAIR and regulation of HOX genes

    siRNAs and heterochromatin formation

    Regulation by circular RNAs

    Chapter 4: Epigenetics of development and differentiation

    Epigenetic reprogramming

    Cell differentiation and plasticity

    Chapter 5: Environmental and transgenerational epigenetics

    Environmental influences on the epigenome

    Environmental factors modulating the epigenome

    Molecular mechanisms of epigenetic responses to the environment

    Principles and evidence of epigenetic inheritance

    Potential mechanisms of transgenerational epigenetic transmission

    Chapter 6: Epigenetics of disease

    Cancer

    Metabolic diseases

    Cardiovascular diseases

    Neurodegenerative diseases

    Chapter 7: Methods for studying the epigenome

    Methods for analysing histone modifications

    Methods for analysing DNA methylation

    Single-cell approaches

    Chapter 8: Epigenetic therapies and new technologies

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  8. Cytogenetics
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 15h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    Cytogenetics

    Overview

    Recommended prior knowledge

    General genetics, cell biology and molecular biology.

    Objectives

    Learning objectives

    Cytogenetics provides the foundations for understanding chromosome structure, behaviour and abnormalities in humans, animals, plants and unicellular organisms such as yeasts. The course covers conventional and molecular cytogenetic methods and modern genetic technologies. It addresses chromosome organisation, detection and identification of abnormalities, mechanisms of their occurrence and the nomenclature used to describe them. Particular attention is given to applications in fundamental research and applied biology.

    Programme

    Course content
    Chapter 1: General concepts, foundations and definitions

    Essential definitions in cytogenetics

    Structural and functional organisation of chromatin

    Chromatin composition

    Chromatin structure

    Stages of chromatin condensation

    Chapter 2: Specialised chromosome structures

    Telomeres

    Telomere structure

    Replication of telomeric ends and the role of telomerase

    Biological functions of telomeres

    Centromeres

    Structure of centromeric regions

    The centromere paradox

    Chapter 3: Chromosomal abnormalities

    International nomenclature in human cytogenetics

    General rules

    Specific symbols and designations

    Numerical chromosome abnormalities

    Meiotic nondisjunction

    Fertilisation-related abnormalities

    Chromosomal mosaicism

    Structural chromosome abnormalities

    Reciprocal translocations

    Robertsonian translocations

    Deletions

    Microdeletions

    Ring chromosomes

    Inversions

    Isochromosomes

    Insertions

    Duplications

    Dicentric chromosomes

    Complex rearrangements

    Marker chromosomes

    Double-minute fragments

    Chapter 4: Cytogenetic methods

    Differences in cytogenetic protocols between organisms

    Mammals

    Plants

    Yeasts

    Other organisms

    Factors affecting technical differences

    Interpreting karyotypes

    Molecular cytogenetic methods

    Metaphase FISH

    High-resolution FISH

    Chromoprobe T FISH

    M-FISH and spectral karyotyping (SKY)

    Multicolour banding FISH

    Metaphase comparative genomic hybridisation (CGH)

    Array CGH: DNA microarrays

    Primed in-situ labelling (PRINS)

    Multiplex ligation-dependent probe amplification (MLPA)

    Chapter 5: Chromosomal abnormalities in human genetic diseases and cancers

    Karyotype alterations through chromosome gain or loss

    Alterations of internal chromosome architecture

    Chapter 6: Contributions of cytogenetics to molecular biology in animals, plants and yeasts

    Animal cytogenetics

    Diagnosis of genetic diseases

    Evolutionary and phylogenetic studies

    Plant cytogenetics

    Varietal improvement

    Plant evolution studies: origins of polyploid species

    Cytogenetic monitoring of interspecific hybrids

    Yeast cytogenetics

    Differential chromosome compaction across cell-cycle phases in yeast

    Modelling human diseases associated with chromosomal instability

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  9. English for Biologists — Elementary
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 05h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S2
    English for Biologists — Elementary

    Overview

    Recommended prior knowledge
    Prior knowledge of basic English.

    Objectives

    Learning objectives

    The objective of this course is to provide students with a solid foundation for communicating (both written and spoken) in English.

    Programme

    Course content

    Unit 1: Tell me what’s it like

    Grammar: What it's like to? Comparative and superlative adjectives in biology.

    Vocabulary: Talking about modern life.

    Reading: “A story of two bacteria belonging to the same genus” - beneficial/pathogenic bacteria.

    Speaking: Comparing DNA polymerases from different microorganisms.

    Listening: Brenda Lee, Tell me what it's like.

    Writing: Describing a wetland.

    Unit 2: Asking scientific questions

    Grammar: Present perfect and past simple in scientific writing.

    Vocabulary: Adverbs in experimental protocols (slowly, carefully…).

    Reading: scientist interview.

    Speaking: questionnaire for research.

    Listening: an interview with an eminent molecular biologist.

    Writing: writing a research protocol.

    Unit 3: Do and don’t in the science Lab

    Grammar: Have to, got to, should, must.

    Vocabulary: Science laboratory safety symbols and hazard signs.

    Reading: What can biologist do to help protect our environment?

    Speaking: Do I need to be good at math to excel in biology? One question, many answers.

    Listening: Fire safety in the Lab.

    Writing: Should biologists have good math skills? (Argument essay).

    Unit 4: Inventions that changed the world

    Grammar: Passive voice.

    Vocabulary: past participle verbs used in scientific writing (grown, produced, cultivated, shown, made…).

    Reading: Agriculture, an invention that changed the world.

    Speaking: Passive voice battleship.

    Listening: The molecular biology.

    Writing: Writing a documentary film review.

    Assessment

    Assessment:

    Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.

    Molecular Genetics of Eukaryotes

    Bioinformatics

    Cellular and Molecular Signalling

    Enzyme Engineering

    Molecular Biology Workshop 3 — Application to a Eukaryotic Model

    Enzyme Engineering Workshop

    Discovery teaching unit

    Nanotechnology for Spatial Omics

    Intellectual Property Rights

    Transversal teaching unit

    Bioprogramming 1

    English for Biologists — Pre-intermediate

S2

Molecular Biology Workshop 1 — Molecular Biology Methods

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S2
Molecular Biology Workshop 1 — Molecular Biology Methods

Overview

Recommended prior knowledge

Molecular biology, genetics and biochemistry.

Objectives

Learning objectives

This workshop introduces students to basic molecular biology techniques and good laboratory practice when handling genetic material and molecular tools.

Programme

Course content

Workshop 1: Genomic DNA extraction

Genomic DNA extraction from

Blood

Animal tissue

Plant tissue

Gram-positive and Gram-negative bacteria

Fungi

Bacterial plasmid DNA extraction

Workshop 2: RNA extraction

Workshop 3: Quantitative and qualitative assessment of nucleic acids

Nucleic acid quantification by spectrophotometry

Agarose gel electrophoresis

Workshop 4: Polymerase chain reaction (PCR)

Conventional PCR

Real-time PCR

Reverse transcription PCR (RT-PCR)

Nested PCR

Temperature-gradient PCR

Touchdown PCR

Workshop 5: Enzymatic restriction

Random digestion of the E. coli genome

Construction of a restriction map

Assessment

Assessment: Laboratory report: 60%; examination: 40%.

References

References: Books, course handouts, websites, etc.
Browse available syllabuses
Semester 310 modules
  1. Molecular Genetics of Eukaryotes
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Molecular Genetics of Eukaryotes

    Overview

    Recommended prior knowledge

    Genetics, cell biology and molecular biology.

    Objectives

    Learning objectives

    This unit addresses genetic and molecular mechanisms in eukaryotes. It focuses on the main model organisms used in eukaryotic genetics and their contribution to understanding biological mechanisms. The molecular mechanisms of human diseases and cancer are examined in detail.

    Programme

    Course content
    Chapter 1: Models in eukaryotic genetics

    The nematode Caenorhabditis elegans

    A model organism in molecular genetics: how its study helps explain the development of a multicellular organism.

    Yeasts

    S. cerevisiae and S. pombe as models for fundamental cell biology, from classical screens for conditional lethal mutations to recent genome-wide genetic approaches.

    The fruit fly Drosophila melanogaster

    Overview of Drosophila as a model for signalling pathways, development, neurobiology and immunology.

    Overview of the Drosophila genome, chromosomes, including balancers, and genes.

    Classical genetic screens

    New technologies for spatial and temporal control of gene expression: GAL4/UAS and FLP/FRT.

    Using these technologies for mosaic genetic screens and overexpression.

    The mouse Mus musculus

    A model of interest because of its functional proximity to humans; different mutagenesis and analytical approaches.

    Value for studying complex functions, such as placental development, cellular homeostasis and metabolic homeostasis.

    Development of new tools.

    Plants

    Arabidopsis thaliana as a molecular-biology model because of its genome size, ease of laboratory cultivation, rapid development and prolific reproduction.

    Introduction to other plant models, including rice for monocotyledons and Physcomitrella patens for bryophytes.

    Main molecular-genetic tools used to study model plants.

    Chapter 2: Molecular bases of human genetic diseases

    Positional cloning

    Chromosomal abnormalities

    Position-independent strategies for identifying disease genes

    Testing a candidate gene identified through positional cloning

    Identifying causal variants from association studies

    Eight examples of identifying genes responsible for diseases or traits:

    Case 1: Duchenne muscular dystrophy

    Case 2: Cystic fibrosis

    Case 3: Branchio-oto-renal syndrome

    Case 4: Multiple sulfatase deficiency

    Case 5: Intestinal lactase persistence

    Case 6: CHARGE syndrome

    Case 7: Breast cancer

    Case 8: Crohn's disease

    Progress in identifying disease genes

    Alzheimer's disease

    Age-related macular degeneration

    Eczema: atopic dermatitis

    AI for disease prediction: TPOT and AutoML

    Chapter 3: Cancer genetics

    Cancer development

    Oncogenes

    Tumour suppressor genes

    Abnormal cell-cycle regulation in cancer

    Genome instability

    Cancer and whole-genome studies

    Understanding multistep tumour development

    Data integration: cancer in cell-biological terms

    AI for early diagnosis and cancer-biomarker detection; the programme discusses PathAI and IBM Watson for Oncology.

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  2. Bioinformatics
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: -Tutorials / week: -Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Bioinformatics

    Overview

    Recommended prior knowledge

    Basic computing, molecular biology and biochemistry.

    Objectives

    Learning objectives

    This course provides theoretical and practical training in bioinformatics tools and databases that support the study of molecular biology and evolution.

    Programme

    Course content:

    Lecture programme

    Chapter 1: Foundations of bioinformatics

    Computing in biology and medicine;

    Introduction to Unix and Linux systems and basic commands;

    Database concepts;

    Protein and nucleic acid databases;

    Structural databases;

    Biological XML document type definitions (DTDs);

    Fundamentals of pattern-matching algorithms;

    Databases and search tools: biological context for sequence analysis;

    Identifying protein sequences from DNA sequences;

    Searching databases for similar sequences;

    NCBI;

    Publicly accessible tools;

    Resources at EMBL-EBI;

    Web resources;

    Database exploration tools

    Chapter 2: DNA sequence analysis

    DNA sequence analysis: gene sequence databases

    Submission and searching of DNA sequences in databases

    Sequence alignment;

    Pairwise alignment techniques;

    Motif discovery and gene prediction;

    Local structural variations in DNA, their relevance to molecular processes and their identification;

    Assembly of genome sequencing data.

    Multiple sequence analysis

    Multiple sequence analysis;

    Multiple sequence alignment;

    Flexible sequence similarity searching with the FASTA3 package;

    Using CLUSTALW and CLUSTALX for multiple sequence alignment; submission of DNA and protein sequences to databases:

    Submission methods;

    SEQUIN;

    Genome centres;

    Submission of aligned sequence sets;

    Updating submitted sequences;

    Phylogenetic analysis methods.

    Practical programme:

    Sequence searches in databases using BLAST, GenBank and RefSeq

    Primer design using Primer3

    PCR or cloning simulation using SnapGene

    Pairwise and multiple sequence alignment using BLAST

    Phylogenetic tree construction using MEGA

    Genome assembly and annotation using Geneious

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.
  3. Cellular and Molecular Signalling
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Cellular and Molecular Signalling

    Overview

    Recommended prerequisite knowledge

    Structural biochemistry, enzymology and molecular biology.

    Objectives

    Learning objectives

    By the end of this module, students will understand the molecular basis of signal transmission and transduction to the nucleus. This fundamental teaching unit also explains modulation of gene activity in response to extracellular signals.

    Programme

    Module content
    Chapter 1: Review of the molecular organisation of biomembranes

    Biomembrane structure

    Asymmetry of membrane lipid composition and distribution

    Distribution of membrane proteins

    Membrane fluidity

    Targeting mechanisms

    Intracellular vesicular trafficking of proteins

    Post-translational protein modifications

    Lipidation

    Glycosylation

    Chapter 2: Membrane receptors and intracellular signalling molecules

    Membrane receptors and their ligands

    Receptor characteristics

    Classification of receptors by location

    1.2.1. Nuclear receptors

    1.2.2. Membrane receptors

    Types of membrane receptor

    1.3.1. Ion-channel receptors

    1.3.2. G protein-coupled receptors (GPCRs)

    1.3.3. Receptors with intrinsic enzymatic activity

    Receptor tyrosine kinases (RTKs)

    Receptors with serine/threonine kinase activity

    1.3.4. Receptors with guanylyl cyclase activity

    1.3.5. Tyrosine kinase-associated receptors

    1.3.6. Serine/threonine kinase-associated receptors

    General scheme of a signalling pathway

    Network of intracellular signalling molecules

    Main adaptor proteins

    Protein–protein interaction domains

    SH domains (Src homology domains)

    PTB domains (phosphotyrosine binding)

    3.1.2. SH2-domain adaptor proteins

    Grb2 protein

    Shc protein

    Small monomeric G proteins

    3.2.1. Ras protein superfamily

    3.3. Regulatory proteins associated with small G proteins

    3.3.1. GTP/GDP exchange proteins (GEPs)

    3.3.2. GTPase-activating proteins (GAPs)

    3.4. Enzymes and intracellular second messengers

    3.4.1. Properties of a second messenger

    3.4.2. Second-messenger synthesis reactions and enzymes

    Cyclic AMP and adenylyl cyclase

    Diacylglycerol (DAG), inositol trisphosphate (IP3) and phospholipases C

    Phosphatidylinositol bisphosphate (PIP2) and PI3-kinase; the source incorrectly pairs “trisphosphate” with PIP2

    Cyclic GMP and guanylyl cyclase

    Protein kinases

    Phosphorylation reactions and kinase domains

    Major protein kinases

    Protein kinase A (PKA)

    Protein kinase C (PKC)

    Protein kinase B (Akt)

    Mitogen-activated protein kinases (MAPKs)

    Chapter 3: Molecular basis of receptor tyrosine kinase signalling

    Mechanisms of RTK activation

    Receptor dimerisation

    Receptor transphosphorylation

    Activation of the mitogen-activated protein kinase cascade

    MAPK-activated transcription factors: AP-1 (activator protein 1)

    Activation of the phosphatidylinositol 3-kinase pathway

    PI3K lipid kinase activity

    PI3K classes

    Class IA

    Class IB

    Roles of PI3K subunits

    Mechanisms of PI3K activation by RTKs

    Direct activation

    Activation through the adaptor IRS-1 (insulin receptor substrate 1)

    Activation by Ras

    Recruitment of PDK1 (phosphoinositide-dependent kinase 1)

    Activation of Akt (PKB)

    Chapter 4: Signalling through G protein-coupled receptors

    Heterotrimeric G proteins

    G protein structure and subunits; subunit symbols are missing in the source

    G proteins and subunit types s, i, q and 12; some symbols are missing in the source

    G protein activation/inactivation cycle

    Adenylyl cyclase activation by the G protein s subunit

    Phospholipase C activation by the G protein q subunit

    4.1. Release of second messengers: DAG and inositol trisphosphate

    4.2. DAG and protein kinase C activation

    4.3. IP3 and intracellular calcium mobilisation

    Contribution of a G protein subunit to PI3K activation; its symbol is missing in the source

    CREB transcription factors

    Chapter 5: Signal-dependent transcription factors

    Simplified classification of transcription factors

    Constitutively active transcription factors

    Regulated transcription factors

    Transcription factors regulated by a membrane signal

    Nuclear factors (C/EBP and AP-1)

    Cytoplasmic factors

    STAT: signal transducer and activator of transcription

    SMAD: Sma and Mad family

    NF-κB: nuclear factor kappa B; the kappa symbol is missing in the source

    Activation of STAT transcription factors by cytokine signalling

    Definition and classes of cytokines

    Receptors associated with cytoplasmic Janus tyrosine kinases (JAKs)

    JAK family members

    Receptor activation by JAK kinases

    Signal transmission through STATs

    STAT family members

    STAT protein structure

    STAT activation and translocation to the nucleus

    JAK/STAT activation by IL-6

    JAK/STAT activation by interferon; subtype not visible in the source

    Activation of SMAD transcription factors by transforming growth factor; suffix not visible in the source

    SMAD family members

    SMAD protein structure

    Canonical SMAD activation by serine/threonine kinase receptors

    Canonical NF-κB activation by IL-1 and tumour necrosis factor; TNF suffix not visible in the source

    4.1. NF-κB

    4.1.1. NF-κB family members

    4.1.2. Structural characteristics of NF-κB

    4.1.3. IκB inhibitory proteins; subtype symbols missing in the source

    4.1.4. IKK (IκB kinase)

    4.2. NF-κB activation by IL-1

    4.2.1. IL-1 receptor complex

    4.2.2. MyD-dependent IL-1 signalling; the source symbol is truncated

    4.3. NF-κB activation by TNF; suffix missing in the source

    4.3.1. TNF receptors; suffix missing in the source

    4.3.2. Signalling through the type 1 TNF receptor

    4.4. NF-κB-responsive genes

    Chapter 6: Contributions of AI to the study of cellular signalling pathways

    Protein interaction network analysis with STRING

    How STRING works: data sources and confidence scores

    Visualising a signalling network, such as MAPK

    Interpreting connections: central proteins, hubs and complexes

    Functional enrichment and pathway exploration with ShinyGO

    Gene Ontology and pathways in KEGG and Reactome

    Analysis of a gene/protein dataset

    Identification of significantly enriched signalling pathways

    Predicting 3D signalling-protein structures with AlphaFold

    From sequence to structure: prediction principles

    Using the AlphaFold Protein Structure Database

    Identification of functional domains, such as kinase and SH2 domains

    Practical case: visualising a key protein in PyMOL or ChimeraX

    Integrated case study: the PI3K–AKT pathway

    Network reconstruction with STRING

    Enrichment of associated functions with ShinyGO

    Visualising AKT or PI3K structure via AlphaFold

    Discussion: combining tools to understand cellular regulation

    Limitations, outlook and research opportunities

    Data limitations and interpretation of results

    Complementarity with experimental approaches

    Generative AI and prospective modelling of signalling pathways

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, course handouts, websites, etc.
  4. Enzyme Engineering
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Enzyme Engineering

    Overview

    Recommended prerequisites

    Fundamentals of physics, especially fluid mechanics and thermodynamics; chemical reactions and equilibria; biochemistry, microbiology and enzymology.

    Objectives

    Learning objectives

    Train engineers to design, model and optimise industrial biotechnological processes. Integrate thermodynamics and kinetics with mass, energy and momentum transfer and practical applications, developing skills to size batch, continuous and recycle bioreactors and analyse production of useful substances or pollutant degradation.

    Prepare students for bioindustry by modelling bioreaction systems and auxiliary operations such as sterilisation, and evaluating performance. Combine theory and case studies to analyse technical/economic aspects and develop the critical perspective needed to address contemporary challenges.

    Programme

    Course content
    Chapter 1: General introduction

    Enzyme engineering

    Biological engineering

    Chapter 2: Reactors and reaction processes

    Definition of a chemical reactor

    Reactor classification

    Nature of the reaction medium

    Reactor operating mode

    Activation and chemical transformation modes

    Definition of reaction quantities

    Conversion

    Extent of reaction

    Residence time

    Microbiological processes

    Biological process yields in reactors: microbial growth kinetics models

    Batch bacterial growth kinetics model

    Continuous bacterial growth kinetics model

    Biological process yields in batch and continuous reactors

    Substrate-to-biomass conversion yield

    Metabolite production yield

    Chapter 3: Reactor modelling

    Modelling a reactor with non-renewed medium

    Modelling a continuous, perfectly mixed biological system with and without recycle

    Continuous operation without biomass recycle

    Continuous operation with biomass recycle

    Two-stage, perfectly mixed continuous systems

    Chapter 4: Processes in enzyme reactors

    Enzyme reactors and enzyme immobilisation concept

    Fixed-bed reactors

    Fluidised-bed reactors

    Enzyme immobilisation

    Sizing enzymatic bioreactors

    Bioreaction apparatus

    Reactor jacket

    Agitation system

    Process performance in enzymatic bioreactors

    Kinetic performance

    Detecting enzyme activity

    Chapter 5: Sterilisation

    Sterilisation process

    Autoclave sterilisation

    Continuous monitoring of the sterilisation cycle

    Sterilisation methods

    Closed batch system

    Ethylene oxide sterilisation

    Continuous system

    Dry-heat sterilisation

    Chapter 6: Scale-up from laboratory through pilot to industrial scale

    Scale-up stages

    Challenges of bioprocess scale-up

    Chemical critical points

    Physical critical points

    Resolving and limiting critical-point impacts during scale-up

    Laboratory to industry: polymer synthesis case study; 6.2.1 Biological critical points, as ordered in the source

    Chapter 7: Bioseparation engineering

    Classification of bioseparation processes

    Mechanical separation processes

    Wettability

    Mass density

    Particle size

    Electrical mobility

    Diffusion-based separation processes

    Chapter 8: Idealised recovery process

    Stages of an idealised recovery process

    Primary separation or harvesting

    Filtration

    Acid/surfactant lysis and organic-phase absorption as worded in the source

    Flocculation and precipitation

    Isolation or capture of the target molecule

    Ion-exchange chromatography

    Affinity chromatography

    Purification

    Polishing

    Size-exclusion chromatography

    Hydrophobic-interaction chromatography

    Bioconjugation and formulation

    Chapter 9: Separation devices in industrial cell culture

    Continuous perfusion reactor with cell retention

    Continuous perfusion reactor retaining cells with hollow fibres or membranes

    Continuous perfusion device retaining cells with resonant ultrasound waves

    Chapter 10: Critical analysis of cell-retention perfusion reactors in industry

    Advantages of each design in industrial settings

    Continuous cell-retention perfusion reactor with hollow fibres or membranes

    Continuous cell-retention perfusion reactor using resonant ultrasound waves

    Limitations of each industrial design

    Continuous cell-retention perfusion reactor with hollow fibres or membranes

    Continuous cell-retention perfusion reactor using resonant ultrasound waves

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.

    Nehal, F. Polycopié pédagogique. Cours de génie enzymatique. L3 Biotechnologie microbienne. Université Hassiba Ben Bouali- Faculté des Sciences de la Nature et de la Vie- Département des Sciences Agronomiques et Biotechnologies. 2020/2021.

    Cesari, L., Chamayou, A., Cognet, P., Debacq, M., Schaer, É. and Vitu, S. Génie de la réaction chimique : Les réacteurs homogènes [En ligne]. 2023/2024.

    Ennabili, A. 2018. Biological Engineering (Course Notes). Journal of Biological Engineering. 15(3) : 45-60. DOI: 10.13140/RG.2.2.19054.25929.

    Nehal, F. Polycopié pédagogique. Cours de génie enzymatique. L3 Biotechnologie microbienne. Université Hassiba Ben Bouali- Faculté des Sciences de la Nature et de la Vie- Département des Sciences Agronomiques et Biotechnologies. 2020/2021.

    Cesari, L., Chamayou, A., Cognet, P., Debacq, M., Schaer, É. and Vitu, S. Génie de la réaction chimique : Les réacteurs homogènes [En ligne]. 2023/2024.

    Ennabili, A. 2018. Biological Engineering (Course Notes). Journal of Biological Engineering. 15(3) : 45-60. DOI: 10.13140/RG.2.2.19054.25929.

    Spahn, C. and Minteer, S.D. 2008. Enzyme immobilization in biotechnology. Recent patents on engineering. 2:195-200. DOI : 10.2174/187221208786306333.

    Wenzheng, Z., Liangwei, Dong. and Yueli, H. 2024. Self-tuning control of steam sterilizer temperature based on fuzzy PID and IPSO algorithm. Journal of Measurements in Engineering. 2424-4635. DOI : 10.21595/jme.2024.24134.

  5. Molecular Biology Workshop 3 — Applications in a Eukaryotic Model
    6 creditsCoefficient 3Semester hours: 60h00
    Lectures / week: -Tutorials / week: -Practicals / week: 04h00Other hours: 80h00

    Assessment: continuous assessment 60% · exam 40%

    Explore this module
    S3
    Molecular Biology Workshop 3 — Applications in a Eukaryotic Model

    Overview

    Recommended prior knowledge

    Knowledge of molecular biology and genetics.

    Objectives

    Learning objectives

    This workshop familiarises students with fundamental molecular biology techniques, particularly polymerase chain reaction (PCR)-based methods such as PCR-RFLP, multiplex PCR and allele-specific PCR. It also addresses practical applications in eukaryotes, including hereditary disease diagnosis, detection of genetic polymorphisms and determination of biological relationships.

    Programme

    Course content

    Workshop 1: Genomic DNA extraction

    Workshop 2: Quantitative and qualitative assessment of extracted DNA

    Workshop 3: PCR-RFLP

    Workshop 4: Multiplex PCR

    Workshop 5: Allele-specific PCR

    Workshop 6: PCR-SSCP

    Workshop 7: qPCR

    Assessment

    Assessment: Laboratory report: 60%; examination: 40%.

    References

    References: Books, course handouts, websites, etc.
  6. Enzyme Engineering Workshop
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: -Tutorials / week: -Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 100% · exam

    Explore this module
    S3
    Enzyme Engineering Workshop

    Overview

    Recommended prior knowledge

    Fundamental enzymology, biochemistry and microbiology.

    Objectives

    Learning objectives

    Protein purification comprises processes that isolate a specific protein from a complex mixture. It is particularly important for enzyme characterisation and applications in fundamental research, biotechnology and medicine. Successive steps include initial extraction, differential precipitation, dialysis and various chromatographic methods.

    The workshop establishes a solid understanding and practical command of enzyme purification stages and the key parameters used to assess their efficiency.

    Programme

    Course content

    Experimental techniques

    The workshop applies the following key techniques:

    Measure activity using a method appropriate to the enzyme studied and extracted.

    Measure total protein by the Bradford method.

    Produce the enzyme by submerged fermentation, SMF.

    Fractional precipitation with ammonium sulfate.

    Desalt by dialysis, followed by size-exclusion/gel-filtration and affinity chromatography.

    Evaluate purification using SDS–polyacrylamide gel electrophoresis, SDS-PAGE; the source incorrectly calls this an agarose gel.

    Workshop organisation and schedule

    Workshop 1: Preparation of solutions and culture media

    Opening and explanation

    Laboratory safety reminders

    Workshop 2: Enzyme production by submerged fermentation, e.g. bacterial or fungal α-amylase or another enzyme

    Qualitative demonstration of production, e.g. starch hydrolysis.

    Enzyme extraction.

    Quantitative enzyme and protein assays.

    Workshop 3: Enzyme purification

    Fractional precipitation with ammonium sulfate.

    Remove ammonium sulfate by dialysis.

    Size-exclusion chromatography.

    Affinity chromatography.

    Workshop 4: Assessment of purification

    Purification table.

    SDS-PAGE.

    Workshop 5: Enzyme characterisation and effects of physicochemical factors on activity and stability

    Workshop 6: Determination of kinetic parameters

    Assessment

    Assessment, discussion and closure.
    Assessment: 100% continuous assessment.

    References

    References: books, handouts, websites, etc.

    Abedi, E., Sayadi, M. and Pourmohammadi, K. 2022. Effect of freezing-thawing pre-treatment on enzymatic modification of corn and potato starch treated with activated α-amylase: Investigation of functional properties. Food Hydrocolloids. 129 :107676. DOI : 10.1016/j.foodhyd.2022.107676.

    Bilyera, N. and Kuzyakov, Y.2024. Soil zymography: A decade of rapid development in microbial hotspot imaging. Soil Biology and Biochemistry. 189 : 109264. DOI :10.1016/j.soilbio.2023.109264.

    Bradford, M.M. 1976. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry. 72: 248-254. DOI :10.1006/abio.1976.9999.

    Dou, S., Chi, N., Zhou, X., Zhang, Q., Pang, F. and Xiu Z. 2018. Molecular cloning, expression, and biochemical characterization of a novel cold-active alpha-amylase from Bacillus sp. dsh19-1. Extremophiles. 22 : 739-749. DOI: 10.1007/s00792-018-1034-7.

    Grodzki, A.C. and Berenstein, E. 2010. Antibody purification: Ammonium sulfate fractionation or gel filtration. Methods in Molecular Biology. 15-26. DOI : 10.1007/978-1-59745-324-0_3.

    Huda, B., Bist, V., Rastogi, S., Kumar, P., Singh, P.C. and Suchi Srivastava, S. 2023. Microbial enzymes and their budding roles in bioremediation: Foreseen tool for combating environmental pollution. Eds. : In Veet Kumar, M., Bilal, S., Shahi, K. and Garg, V. Metagenomics to Bioremediation. Academic Press. 157-181. DOI :10.1016/B978-0-323-96113-4.00017-2.

    Jahir A.K. and Ruchika P. 2011. A study on partial purification and characterization of extracellular amylases from Bacillus subtilis. Pelagia Research Library. 2 (3): 509-528.

    Jaiswal, N. and Jaiswal, P. 2024. Thermostable α-Amylases and Laccases: Paving the Way for Sustainable Industrial Applications. Processes. 12(7) : 1341. DOI :10.3390/pr12071341.

    Laemmli, U.K.J.n. 1970. Cleavage of structural proteins during the assembly of

    the head of bacteriophage T4. Nature . 227(5259): 680-685. DOI: 10.1038/227680a0.

  7. Nanotechnologies for Spatial Omics
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 15h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Nanotechnologies for Spatial Omics

    Overview

    Recommended prerequisite knowledge

    Fundamentals of molecular biology and transcriptomics.

    Objectives

    Learning objectives

    This teaching unit explores recent contributions of nanotechnologies to spatial omics approaches. Students become familiar with the scientific foundations of this integration, focusing on the role of nanodevices in advanced platforms named in the programme, such as Visium, CosMx, MERSCOPE and Xenium, and on contributions to signal amplification, high-precision molecular detection and single-cell analysis. The aim is to understand the biomedical potential of these technologies in cancer, neurological diseases, immunology and personalised medicine.

    Programme

    Module content
    Chapter 1: Fundamentals of nanotechnologies applied to biology

    Definitions, scales and properties of nanomaterials.

    History and development of nanobiotechnology in biology.

    Fabrication approaches: top-down versus bottom-up.

    Biotechnology examples (polymeric nanoparticles, liposomes, quantum dots, etc.).

    Nanoparticle functionalisation for biological applications.

    Surface modifications

    Cell targeting

    Fluorescence

    Molecular conjugation

    Types of nanodevices used in biotechnology

    Metallic, polymeric and lipid nanoparticles

    Nanosensors

    Nanopores and functionalised nanoprobes

    The three main fields of nanotechnology

    Nanomaterials: properties, synthesis, characterisation and biomedical applications

    Nanoelectronics: sensors, nanoscale circuits and integration into omics platforms

    Nanobiotechnologies: convergence of nanotechnology, molecular biology and spatial biology

    Chapter 2: Introduction to spatial biology and omics

    Introduction to spatial omics technologies

    Spatial transcriptomics: Visium, CosMx, Xenium and MERSCOPE

    Spatial proteomics: MACSima and MIBIµ

    Single-cell analysis: scRNA-seq and ATAC-seq

    Associated techniques: immunohistochemistry, RNA-seq and multiplex imaging

    Major technological platforms

    GeoMx Digital Spatial Profiler

    MERSCOPE and hybrid methods

    Visium HD, Xenium and CosMx: performance comparison

    Application areas

    Cancer and tumour heterogeneity

    Neuroscience and mapping of brain tissues

    Immunology, inflammation and infectious diseases

    Chapter 3: Nanodevices integrated into spatial omics technologies

    Nanoscale sensors for multiplex imaging and signal amplification

    Functionalised nanobeads (Xenium and CosMx, as exemplified in the programme)

    Amplification using gold or silver nanoparticles

    Multiplexed nanomaterial-based probes

    Nanostructures for molecular capture, delivery and labelling

    DNA, RNA and proteins

    Case studies: nanoscale components in Visium HD or Xenium and their contribution to detection performance

    Chapter 4: Biomedical applications and outlook

    Contribution of nanotechnologies to spatial single-cell diagnostics

    Technological and bioethical challenges of nano-omics integration

    Towards precision medicine enhanced by nano/omics/spatial convergence

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, course handouts, websites, etc.

    Scientific review article

    Wang R, Hastings WJ, Saliba JG, Bao D, Huang Y, Maity S, Kamal Ahmad OM, Hu L, Wang S, Fan J, Ning B. Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution. ACS Nano. 2025 Jan 14;19(1):73-100. doi: 10.1021/acsnano.4c11505.

  8. Intellectual Property Rights
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 15h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Intellectual Property Rights

    Overview

    Recommended prior knowledge

    Basic computing skills

    Objectives

    Learning objectives

    Introduce intellectual property fundamentals and their implications for biological research and biotechnology products, Algerian IP policy and its rationale, and the broad patent regulatory framework. Cover filing procedures and applicable rights, particularly protection of biotechnology research innovations.

    Programme

    Course content

    1. Patenting an invention

    1.1. Introduction to intellectual property rights

    1.2. Forms of intellectual property rights

    A. Industrial property

    - Patents

    - Designs

    - Registered trademarks

    - Geographical indications

    B. Non-industrial property

    - Copyright ©

    2. History and evolution of patent law

    2.1. Development of patent legislation

    2.2. History of the Algerian patent system

    2.3. International conventions and treaties

    2.4. Patent laws in other countries

    3. Patent classification

    3.1. Classification in Algeria

    3.2. WIPO patent classification

    3.3. Patent categories

    3.4. Special patents

    3.5. Biological product patents

    4. General legislative provisions for patents in Algeria

    4.1. Patentability: what can be patented?

    4.2. Exclusions from patentability

    4.3. Entitlement to a patent

    4.4. Employee inventions

    4.5. Unity of invention

    4.6. Certificate of addition

    5. Patent application and grant procedures

    5.1. Filing

    5.2. Examination

    5.3. Grant

    5.4. Maintaining patent validity

    6. National patent system

    6.1. Algerian National Institute of Industrial Property, INAPI

    6.2. Patent application formalities

    7. Filing a patent application abroad

    7.1. Protecting an invention in several countries

    7.2. Patent Cooperation Treaty, PCT

    7.3. Advantages of the PCT

    7.4. Filing an international application under the PCT

    8. Patent holders: rights and duties

    8.1. Patent ownership

    8.2. Rights of owners and co-owners

    8.3. Obligations of owners and co-owners

    8.4. Transfer of patent rights

    8.5. Limitations on patent rights

    8.6. Restoration of patent rights

    8.7. Patent infringement and offences

    8.8. Infringement proceedings and remedies

    9. Patenting life forms

    14.1. Introduction

    14.2. Patent grant criteria

    14.2.1. Patentability prerequisites

    14.2.2. Essential patentability requirements

    14.3. Cell and cell-line patents

    14.4. Gene and DNA sequence patents

    14.4.1. Sequences for diagnostic tests

    14.4.2. Sequences as research tools

    14.4.3. Sequences for gene therapy

    14.4.4. Sequences for therapeutic protein production

    14.5. Animal patents

    14.6. Protection of new plant varieties

    14.6.1. Patents

    14.6.2. Sui generis protection: International Union for the Protection of New Varieties of Plants, UPOV

    14.6.3. Geographical indications

    10. Biopharmaceutical patents

    10.1. Overview

    10.2. Pharmaceutical and biopharmaceutical products

    10.2.1. Biologics versus conventional drugs

    10.2.2. Biosimilars and “interchangeable” biologics

    10.3. Rationale for biopharmaceutical IP protection

    10.4. Patent protection for biologics

    10.4.1. Incremental innovation

    10.4.2. Evergreening

    10.5. Patent protection for diagnostics

    10.6. Effects of patent protection on genetic testing

    10.7. International trade agreements on medicines

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  9. Bioprogramming 1
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 10h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    Bioprogramming 1

    Overview

    Recommended prior knowledge

    Elementary algorithmic concepts (optional)

    Ability to use a computer and navigate a file system

    Knowledge of computing, bioinformatics, molecular biology and genetics.

    Objectives

    Learning objectives

    Introduce biology students to level 1 Python programming, enabling them to structure simple code, manipulate data and automate basic tasks in their scientific field.

    Programme

    Course content

    Introduction to programming

    What is a program? Programming languages

    Why choose Python for biology?

    Examples of scientific applications

    Installation and getting started

    Installing Anaconda

    First Python script

    Running cells, saving and comments

    Variables and data types

    Primitive types: int, float, str, bool

    Tuples, sets, lists and dictionaries

    Mathematical and logical operators

    Expressions and basic statements (input, output and assignment)

    Control structures

    Conditional statements: if, elif, else

    Comparison operators

    Repetition structures

    for and while loops

    break and continue statements

    Iterating over lists

    Functions

    Defining a function with def

    Parameters and return values

    Files

    7.1. Reading and writing .txt and .csv files

    7.2. open(), read() and write() methods

    Assessment

    Assessment: Continuous assessment: 40 %; examination: 60 %.

    References

    References: Books, course handouts, websites, etc.
  10. English for Biologists — Pre-intermediate
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h 30Tutorials / week: -Practicals / week: -Other hours: 5h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S3
    English for Biologists — Pre-intermediate

    Overview

    Recommended prior knowledge
    Prior knowledge of basic English

    Objectives

    Learning objectives

    The objective of this course is to provide students with a solid foundation for communicating (both written and spoken) in English.

    Programme

    Course content

    Unit 1: The Wonder World

    Grammar: auxiliary verbs (do, be, have), naming the tenses, questions and negatives, short answers.

    Vocabulary: social expressions.

    Reading: wonders of biology.

    Speaking: Biology Quiz (using auxiliary verbs, questions and negatives and short answers).

    Listening: Ten craziest things cells do.

    Writing: Find the mistake and correct it.

    Unit 2: Bioethics and biosecurity

    Grammar: Present tense.

    Vocabulary: Numbers in science.

    Reading: Bioethics.

    Speaking: Debate on ethics in bioengineering.

    Listening: Biosecurity.

    Writing: writing a paragraph to describe scientific facts using present tense and numbers.

    Unit 3: Telling science stories

    Grammar: Past tense.

    Vocabulary: graphical representations.

    Reading: Agro-industrial residues valorisation.

    Speaking: Debate on environmental impacts of biomass.

    Listening: Agro-industrial wastes valorisation.

    Writing: writing a paragraph to describe methods and results.

    Unit 4: Genetic engineering

    Grammar: Modal verbs.

    Vocabulary: genetic engineering vocabulary

    Reading: Can crop residues provide fuel for future transport?

    Speaking: Promoting critical thinking with English modal verbs.

    Listening: Can enzymes be reused?

    Writing: writing a paragraph about the perspectives of GMO applications using modal verbs.

    Unit 5: The future of Genetic engineering.

    Grammar: future forms

    Vocabulary: genetic engineering vocabulary

    Reading: Future trends of biotechnology.

    Speaking: What role do you think industrial biotechnology will play in the future?

    Listening: The future of genome editing.

    Writing: Write an email to your internship supervisor to explain what will your plan on arrival.

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.

    Genomics and Proteomics

    Genetic Engineering

    Pharmacogenetics and Personalised Therapy

    Immunogenetics and Biotherapy

    Molecular Biology Workshop 4 — Genetic Engineering

    Electronics Workshop — Applications to Biotechnology

    Discovery teaching unit

    Lean Startup

    Transversal teaching unit

    Bioprogramming 2

    English for Biologists — Intermediate

Browse available syllabuses
Semester 49 modules
  1. Genomics and Proteomics
    5 creditsCoefficient 3Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 70h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    Genomics and Proteomics

    Overview

    Recommended prior knowledge

    Knowledge of molecular biology and genetics.

    Objectives

    Learning objectives

    Advances in the technologies and computing used to generate and process large biological datasets, or omics data, are driving a major change in the study of biological sciences and biotechnology.

    This course aims to provide introductory knowledge of genomics, transcriptomics, proteomics and their applications.

    Programme

    Course content

    Foundations of genomics and proteomics

    Overview of prokaryotic and eukaryotic genome organisation

    Extrachromosomal DNA: bacterial plasmids, mitochondria and chloroplasts.

    Genome mapping

    Genetic and physical maps

    Markers for genetic mapping

    Methods and techniques used for genetic mapping

    Physical mapping

    Linkage analysis

    Cytogenetic techniques

    Fluorescence in situ hybridization (FISH) in genetic mapping

    Somatic cell hybridization

    Radiation hybrid maps

    In situ hybridization

    Comparative genetic mapping

    Genome sequencing projects

    The Human Genome Project

    Microbial, plant and animal genome sequencing projects

    Accessing and retrieving information about genome projects from the web

    Comparative genomics

    Identification and classification of organisms using molecular markers: 16S rRNA typing/sequencing and SNPs

    Using genomes to understand eukaryotic evolution

    Monitoring emerging diseases and designing new medicines

    Determining gene locations within a genome sequence

    Transcriptomics

    Introduction

    Data acquisition

    Next-generation sequencing (NGS): RNA-seq and small RNA-seq

    Microarrays

    qPCR, RT-PCR and qRT-PCR

    Data description

    Transformation, normalization and filtering

    Transcriptome data analysis

    Differentially expressed genes

    Co-expressed genes

    Interpretation

    Characterization of a gene set

    Proteomics

    Aims

    Strategies and challenges in proteomics

    Proteomic technologies: 2D-PAGE, isoelectric focusing, mass spectrometry, MALDI-TOF and the yeast two-hybrid system

    Proteomic databases

    Functional genomics and proteomics

    Transcriptome analysis for gene identification and functional annotation

    Contig assembly

    Chromosome walking and chromosome characterization

    Identification of functional genes in the genome

    Gene function

    Forward and reverse genetics

    Protein–protein and protein–DNA interactions

    Protein microarrays and functional proteomics

    Biomedical and clinical applications of proteomics

    Introduction to metabolomics, lipidomics, metagenomics and systems biology

    Artificial intelligence applied to omics data

    Introduction to artificial intelligence applied to omics data

    Basic concepts: machine learning, deep learning and neural networks

    General applications in biological sciences

    AI in genomics

    Prediction of genes and functional elements in the genome

    Automatic sequence annotation and classification

    Large-scale comparative genome analysis

    AI in transcriptomics

    Identification of differentially expressed genes using predictive models

    Grouping expression profiles through unsupervised clustering

    Detection of transcriptomic signatures associated with biological conditions: diseases, stress, etc.

    AI in proteomics

    Mass spectral analysis using neural networks

    Prediction of protein structure and function

    Recognition of protein motifs and interactions

    Tutorials:

    Tutorial 1: Applications of omics approaches

    Activity type: Collaborative work – concept map

    Article: How ‘omics technologies can drive plant engineering, ecosystem surveillance, human and animal health

    Aim: Introduce omics approaches through a visual synthesis activity

    Tool/activity: Concept map creation and literature research

    Tutorial 2: Genome mapping

    Article: A physical map of the papaya genome with integrated genetic map and genome sequence – Qingyi Yu et al., 2009

    Aim: Understand the foundations of genetic and physical mapping

    Tool/activity: Integration of the existing guided tutorial sheet: guided questions and interpretation of results

    Tutorial 3: Transcriptomic analysis and lncRNAs

    Article: Genome-wide differential expression profiling of mRNAs and lncRNAs associated with prolificacy in Hu sheep – Xu Feng et al., 2018

    Aim: Introduction to functional transcriptomics and long non-coding RNAs

    Tool/activity: Integration of the existing guided tutorial sheet: guided questions and interpretation of results

    Tutorial 4: Functional analysis with ShinyGO and STRING

    Article: Functional annotation and network analysis of differentially expressed genes in a model organism or tissue

    Aim:

    - Analyse a set of expressed genes using ShinyGO: GO/KEGG enrichment

    - Explore protein interactions using STRING

    Tool/activity: Integration of the existing guided tutorial sheet: guided questions and interpretation of results

    Tutorial 5: Simplified multi-omics pipeline: an integrated case study

    Study material: Simulated data or a supplied real article, for example a stress response in a plant or animal

    Aim:

    - Combine RNA-Seq, ShinyGO, STRING, AlphaFold and InterPro

    - Develop a coherent biological interpretation

    Tool/activity: Integration of the existing guided tutorial sheet: guided questions and interpretation of results

    Tutorial 6: AI and machine learning for omics analysis

    Article: AI-assisted prediction of gene–disease associations

    Aim:

    - Introduction to AI: clustering, gene networks and deep learning

    - Use of platforms such as Orange or DeepGO

    Tool/activity: Integration of the existing guided tutorial sheet: guided questions and interpretation of results

    Assessment

    Assessment: Continuous assessment: 40 %; Examination: 60 %.

    References

    References: Books, course handouts, websites, etc.
  2. Genetic Engineering
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    Genetic Engineering

    Overview

    Recommended prerequisites

    Knowledge of genetics, molecular biology and microbiology is essential.

    Objectives

    Learning objectives

    Teach different genetic engineering approaches and their applications in biological research and biotechnology industries.

    Given genetic engineering’s impact on modern society, students acquire a solid theoretical understanding. Together with molecular biology and enzyme engineering practicals, this prepares them for biological research and placements in relevant biotechnology industries.

    Programme

    Course content

    Chapter I: History of genetic engineering

    Chapter II: Enzymatic tools of genetic engineering

    2.1. Restriction enzymes

    Restriction phenomenon

    Recognition sites

    Isoschizomers

    Restriction–modification system, RM

    Origins of restriction enzymes

    Restriction enzyme nomenclature

    Types of restriction enzyme cleavage

    Classes of restriction enzymes

    Methylation of restriction sites and restriction enzyme inactivation

    Uses of restriction enzymes

    2.2. Other enzymes commonly used in genetic engineering

    Polymerases

    Ligases

    Alkaline phosphatases

    Nucleases

    Other specific enzymes

    Chapter III: Molecular hybridisation

    3.1. Review of hybridisation principles

    DNA melting temperature

    Factors affecting melting temperature

    3.2. Molecular hybridisation

    Liquid-phase hybridisation

    Solid-support hybridisation

    3.3. In situ hybridisation

    3.4. Probes

    Principles of nucleic acid hybridisation

    Probe concept

    Labelling strategies

    Labelling long nucleic acid probes with labelled nucleotides

    DNA labelling by nick translation

    Random-primed DNA labelling

    Labelling during PCR strand synthesis

    RNA labelling

    Nucleic acid labelling with radioactive isotopes

    Non-isotopic nucleic acid labelling with fluorophores

    Chapter IV: Vectors

    4.1. General principles of vectors

    Vector concept and properties

    General principles of vector use

    4.2. Plasmids

    Using a plasmid

    Plasmid preparation

    Different plasmid types

    First-generation plasmids

    Second-generation plasmids

    Third-generation plasmids

    Origin of replication

    4.3. Phages

    Phage use

    Phage preparation

    Phages used in molecular biology

    First-generation phages: λ phage

    Second-generation phages

    4.4. Other vector types

    Cosmids

    Artificial chromosomes

    Yeast artificial chromosome, YAC

    Bacterial artificial chromosome, BAC

    Shuttle vectors

    Eukaryotic viral vectors

    Chapter V: Cloning and recombinant protein expression

    5.1. Cloning principles

    PCR-based cloning

    Designing PCR primers for cloning

    Choosing restriction enzymes

    Cloning stages

    5.2. DNA libraries

    Genomic DNA libraries

    cDNA libraries

    5.3. Expression systems

    Choosing an expression system

    Post-translational modifications

    Prokaryotic expression system

    5.4. Genetic expression cassette for recombinant proteins

    5.5. Characteristics of E. coli

    5.6. Overview of heterologous protein expression in E. coli

    5.7. Recombinant protein expression

    Chapter VI: Genetically modified organisms, GMOs

    6.1. Plant transgenesis

    Plant transgenesis and conventional breeding methods

    Plant transgenesis techniques

    Production of genetically modified plants

    Conditions for successful plant transgenesis

    Transformation techniques

    Direct transfer

    Indirect transfer

    6.2. Animal transgenesis

    Definition

    Gene transfer methods in animals

    Gene transfer into one-cell embryos

    Gene transfer via embryonic cells

    Gene transfer into gametes

    Using sperm-cell precursors

    Gene transfer into somatic cells

    Gene transfer into mitochondria

    Other recent gene transfer techniques

    6.3. Constructing a transgene

    6.4. Other techniques for creating GMOs

    6.5. Main GMO applications

    6.6. GMO traceability and labelling

    Chapter VII: New genetic engineering techniques and applications

    7.1. Genome editing

    7.2. Programmable nucleases

    7.3. RNA interference

    7.4. Zinc-finger nucleases

    7.5. TALENs

    7.6. CRISPR/Cas9

    Chapter VIII: Biosafety and bioethics in genetic engineering

    Introduction to biosafety

    Fundamental concepts

    Biological risk assessment

    Cartagena Protocol

    GMOs and biosafety issues

    GMO regulatory frameworks

    Biosafety of recombinant DNA-derived products

    Risk analysis and management

    Safety assessment: foods, animals and clinical trials

    Precautionary principle

    Laboratory and industrial biosafety

    Bioethics concepts

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  3. Pharmacogenetics and Personalised Therapy
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    Pharmacogenetics and Personalised Therapy

    Overview

    Recommended prior knowledge

    Molecular biology and genetics.

    Objectives

    Learning objectives

    Provide tools for prioritising information on variability in drug response. Improve understanding of new pharmacogenetic tools for personalised medicine, with the aim of optimising clinical research and routine prescribing. Help identify at-risk populations through pharmacogenetics as a personalised-medicine tool and improve benefit–risk analysis.

    Programme

    Course content

    General introduction to personalised medicine

    Clinical research and pharmacogenetics

    Genetic testing and phenotyping

    Advances in pharmacogenomics

    The role of biomarkers across different fields and in oncology

    New approaches

    Genetics

    Proteomics

    Metabolomics

    Microbiota

    Epigenetics

    Next-generation sequencing (NGS): exome sequencing.

    Germline pharmacogenomics

    Genetics-based personalised medicine

    Personalised medicine and its current clinical applications

    Fields covered: cardiovascular medicine, pain pharmacology, psychiatry, pharmacogenetics in rheumatology, adverse effects, drug interactions, drug-induced liver injury (DILI) and cancer genetics.

    Molecular docking

    Molecular docking and pharmacogenetics

    Principles of molecular docking

    Applications of docking in pharmacogenetics

    Artificial intelligence for docking in pharmacogenetics

    Contributions of artificial intelligence to pharmacogenetics

    Random forests, support vector machines (SVMs) and neural networks for modelling multi-omics data.

    Deep learning for exome sequence analysis using NGS and automated detection of clinically relevant variants.

    AI-based prediction of treatment response. Study of CancerCellNet for cancer-model classification and assessment of transcriptional fidelity to tumours.

    Natural language processing (NLP) to extract relevant information from medical publications.

    Industrial perspectives and development of companion diagnostic tests for targeted therapies.

    From protocol drafting to methodological support and implementation.

    Research valorisation, patent jurisdiction and practical experience.

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  4. Immunogenetics and Biotherapy
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    Immunogenetics and Biotherapy

    Overview

    Learning objective

    Develop an in-depth understanding of immunogenetics and its biomedical applications: interactions between genes and the immune system, antigen recognition, HLA tissue compatibility, and implications for transplantation, autoimmunity and innovative therapies. Students also explore immunoinformatics, biotherapies, therapeutic antibodies and gene therapy principles, integrating immunogenetic concepts into diagnostic and therapeutic strategies in genetic engineering.

    Recommended prerequisites

    Basic molecular biology, immunology and human genetics.

    Programme

    Course content:
    Chapter 1: Review of immunology fundamentals

    Components of the immune system

    Innate and adaptive immunity

    The immune system in action

    Chapter 2: The major histocompatibility complex, MHC, and human leukocyte antigen system, HLA

    Role and function

    Structure of the HLA system

    Genetic aspects

    Immunological aspects

    Chapter 7: Immunogenetics and transplantation

    Classical HLA and organ transplantation

    Classical HLA and bone marrow transplantation

    Non-classical HLA class I and organ transplantation

    Non-classical HLA class I and bone marrow transplantation

    Graft-versus-host reaction

    HLA typing

    Chapter 3: Immunoglobulins

    Role and function

    Structure of the immunoglobulin system

    Genetic aspects

    Immunological aspects

    Chapter 5: Comparative immunogenetics: evolution of polymorphism in genes involved in immune responses

    Classical HLA polymorphism

    Non-classical HLA polymorphism; the programme cites MICA and MICB, which are MHC class I-related molecules.

    Toll-like receptor, TLR, polymorphism

    Chapter 6: Immunogenetics and immunopathology

    Autoimmune diabetes

    Genetics of type I diabetes

    Relationships between polymorphisms and immune-mediated diseases

    Chapter 8: Immunoinformatics

    Introduction to immunoinformatics

    IMGT: the international ImMunoGeneTics information system

    Chapter 9: Biotherapies and targeted therapy

    Definition

    Role and function

    Mechanism of action

    Examples of biotherapies and targeted therapies

    Chapter 10: Immunotherapies from bench to clinic

    Immunology in biotherapy

    Clinical trial methodology and statistics

    Principles of clinical trials

    Production of haematopoietic cells

    Quality and regulatory requirements in biotherapies

    Chapter 11: Monoclonal and polyclonal antibodies

    Using the immunomodulatory properties of invariant natural killer T cells, iNKT cells, in immunotherapy

    Physicochemistry of non-viral gene therapy vectors

    Anti-HIV vaccine strategies

    Antigen design and antitumour vaccination

    Mechanisms of cutaneous desensitisation

    Virosomes and anti-HIV vaccine applications

    Chapter 12: Gene therapy: genetic approaches to treating disease

    Treatment of genetic diseases versus genetic treatment of diseases

    Principles and applications of cell therapy

    Stem-cell-based therapies

    Embryonic stem cells

    Tissue stem cells

    Practical difficulties of stem-cell therapy

    Allogeneic or autologous cell therapy

    Nuclear reprogramming

    Induced pluripotency in somatic cells

    Transdifferentiation

    Genetic approaches to disease treatment using drugs, recombinant proteins and vaccines

    Identifying new drug targets

    Therapeutic protein production by expression cloning in microbes, mammalian cell lines or transgenic animals

    Engineering new antibodies with therapeutic potential

    Producing vaccines and improving their function through genetic engineering

    Production of cancer vaccines

    Gene therapy principles and mammalian gene transfection systems

    Genes can be transferred into patient cells in culture or within tissues

    Integration of therapeutic genes into chromosomes; the source sentence is incomplete.

    Using viral vectors for gene transfer

    Retroviral vectors

    Using adenoviruses and adeno-associated viruses, AAVs, as vectors

    Other viral vectors

    Non-viral vector systems

    Nucleic acid transfer by direct injection or particle bombardment

    Lipid-mediated gene transfer

    Compacted DNA nanoparticles

    RNA- and oligonucleotide-based therapeutics and therapeutic gene repair

    Selective inactivation of a mutant allele

    Therapeutic ribozymes

    Therapeutic small interfering RNAs, siRNAs

    Inducing exon skipping with antisense oligonucleotides

    Gene targeting with a zinc-finger nuclease

    Gene therapy in practice

    Gene therapy for recessive inherited diseases of blood cells

    Gene therapies for other monogenic diseases

    Cancer gene therapy

    HIV gene therapy

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.
  5. Molecular Biology Workshop 4 — Genetic Engineering
    5 creditsCoefficient 3Semester hours: 60h00
    Lectures / week: -Tutorials / week: -Practicals / week: 04h00Other hours: 60h00

    Assessment: continuous assessment 60% · exam 40%

    Explore this module
    S4
    Molecular Biology Workshop 4 — Genetic Engineering

    Overview

    Recommended prerequisites

    Microbiology, genetics, genetic engineering and molecular biology.

    Techniques:

    Design cloning primers and simulate α-amylase gene cloning in silico using SnapGene.

    Extract genomic DNA from the strain of interest.

    PCR cloning of the target gene using cloning primers.

    Purify the PCR product with a PCR clean-up kit.

    Digest the insert and plasmid vector, pET21/28 a+, with an appropriate restriction enzyme pair.

    Purify digestion products from agarose gel.

    Ligate the gene into the plasmid vector.

    Transform the cloning host E. coli DH5α.

    Extract the genetic construct and transform the expression host E. coli BL21 (DE3).

    Screen transformed clones in the presence of antibiotic.

    Test recombinant enzyme expression by SDS-PAGE.

    Purify the recombinant enzyme using a HisTrap affinity chromatography column.

    Recommended prerequisites

    None.

    Objectives

    Learning objectives

    Genetic engineering uses recombinant DNA technology to modify an organism’s genetic constitution. Heterologous expression can enable high-yield enzyme production and extracellular secretion, depending on the system, potentially reducing industrial extraction costs and time.

    An intensive block workshop develops cloning and expression skills for a bacterial protein gene of technological interest in a bacterial host. The source cites Taq polymerase from Thermus aquaticus, then α-amylase under techniques; these are distinct examples.

    Learning objectives

    Electronics supports everyday and scientific activities through equipment ranging from simple to sophisticated. Approaches such as Arduino provide simplified hardware for rapid learning and independent development of tools meeting specific needs.

    The biology electronics workshop focuses on Arduino for scientific equipment and experiment monitoring: pH, temperature and turbidity during microbial growth, water baths, electrophoresis apparatus and thermal cyclers.

    Programme

    Course content

    Session 1: 05 hours

    Prepare solutions and culture media.

    Design cloning primers.

    Session 2: 06 hours

    Extract genomic DNA using a kit.

    PCR cloning of the target gene.

    Simulate target-gene cloning in silico with SnapGene.

    Qualitative and quantitative checks: agarose gel electrophoresis.

    Session 3: 06 hours

    Purify the PCR product and quantify DNA.

    Digest the insert and plasmid vector, pET21/28 a+, with an appropriate restriction enzyme pair.

    Sequencing simulation: in silico verification of the sequenced PCR product.

    Electrophorese digestion products, then purify them from agarose gel.

    Session 4: 06 hours

    Prepare competent bacterial cells, part 01.

    Ligate the gene into the plasmid vector.

    Session 5: 06 hours

    Prepare competent bacterial cells, part 02.

    Transform the cloning host E. coli DH5α.

    Session 6: 08 hours

    Screen transformed clones in the presence of antibiotic.

    Lecture on recombinant DNA technology.

    Extract the genetic construct and transform E. coli BL21 (DE3).

    Session 7: 06 hours

    Recombinant enzyme expression tests, part 01: prepare cultures under different conditions.

    Session 8: 06 hours

    Recombinant enzyme expression tests, part 02: SDS-PAGE.

    Session 9: 06 hours

    Purify the His-tagged recombinant enzyme with a HisTrap affinity chromatography column.

    SDS-PAGE.

    Session 10: 08 hours

    Confirm recombinant protein identity by Western blotting.

    Test the expressed protein’s biological activity.

    Analyse results.

    Course content

    Part 1: Introducing Arduino

    Definition

    Purpose and usefulness

    Applications

    Reasons for choosing Arduino

    Arduino tools

    Hardware: UNO board and ATMega microcontroller.

    Software: Arduino IDE, compilation and uploading.

    Programming

    What is a program?

    Creating a computer program.

    Compiler role.

    Programming for electronics

    Introduction to microcontrollers.

    Internal microcontroller components

    Central processing unit, CPU.

    Memory: Flash, RAM, EEPROM, cache and registers; components depend on the microcontroller.

    Arduino IDE software

    Hardware: Arduino UNO board

    Introducing the board.

    Main features: pins, voltage and memory.

    Digital and analogue signals

    Sensors and detectors

    Teaching distinction between continuous-measurement sensors and binary-state detectors.

    Examples: temperature sensor and presence detector.

    Number bases 2, 10 and 16

    Base 10: decimal.

    Base 2: binary.

    Base 16: hexadecimal.

    Conversion summary table.

    Conversions

    Decimal ↔ binary.

    Binary ↔ hexadecimal.

    Arduino language

    Language syntax

    Minimal code: setup() and loop().

    Statements: semicolons, braces and comments.

    Data, variables and constants

    Types: int, float and String.

    Declaration examples.

    Program structure commands

    Digital/analogue inputs and outputs.

    Time management: delay() and millis().

    Arithmetic, logical and assignment operators.

    Control structures

    Conditions: if/else.

    Loops: while and for.

    LCD screen

    Display types: alphanumeric and graphical.

    Wiring: parallel/semi-parallel communication as worded in the source.

    Programming with LiquidCrystal.

    Part 2: pH meter

    Definition of a pH meter

    Electrodes

    Glass electrode tip types: spherical, conical, flat and spear/cutting.

    Reference electrodes: calomel, mercurous sulfate and silver chloride.

    Operating principle

    Potential difference and the Nernst equation.

    Acidic/neutral/basic classification.

    Electrode measurement chain

    Calculating parameters a and b.

    pH meter calibration

    Temperature effects

    Practical work

    Simulation with Arduino and an LCD screen.

    Data acquisition and calibration program.

    Assessment

    Assessment: continuous assessment 60%; examination 40%.
    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites, etc.

    Additional programme included in the source: Electronics Workshop—Biotechnology Applications

    References: books, handouts, websites, etc.
  6. Electronics Workshop : Applications to Biotechnology
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: -Tutorials / week: -Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Detailed programme unavailable.

  7. Lean Startup
    2 creditsCoefficient 1Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: -Practicals / week: 01h30Other hours: 25h00

    Assessment: continuous assessment 80 % · exam 20 %

    Explore this module
    S4
    Lean Startup

    Overview

    b) Recommended Prerequisites

    Students are expected to have prior knowledge in the following areas:

    Fundamentals of entrepreneurship.

    Basics of project management.

    Concepts of innovation and technological development.

    General research methodology.

    Objectives

    a) Course Objectives

    This module focuses on the study of concepts, methods, and tools associated with the Lean Startup methodology. It emphasizes the mechanisms for building innovative ventures in environments characterized by high levels of uncertainty through experimentation, rapid learning, and continuous validation of assumptions.

    Learning Outcomes:

    Upon successful completion of this module, students will be able to:

    Understand the fundamental principles and philosophy of the Lean Startup methodology.

    Transform an innovative idea or research outcome into a viable business project.

    Formulate and test the key assumptions underlying a venture.

    Design and develop a Minimum Viable Product (MVP).

    Analyze market data and make informed business decisions.

    Align innovation and scientific research with market needs and customer expectations.

    The module adopts modern educational approaches, including:

    Project-Based Learning (PBL).

    Experiential Learning.

    Multidisciplinary teamwork.

    Startup ecosystem simulation.

    Problem-solving-based learning.

    Programme

    c) Course Content

    I- Lectures

    Unit

    Title

    Detailed Topics

    1

    The Entrepreneurial University and University 4.0

    Evolution of universities from 1.0 to 4.0 Characteristics of University 4.0 Digital transformation and artificial intelligence in higher education The role of universities in the knowledge economy Valorisation of scientific research Transformation of research outputs into startups Universities as drivers of innovation and economic development International examples of entrepreneurial universities such as MIT, Stanford, Cambridge, Tsinghua, NUS, TUM and PSL/Polytechnique.

    2

    Entrepreneurship and Innovation Ecosystem in Algeria and the University

    Definition of the entrepreneurial ecosystem Key actors in the ecosystem Algerian policy for innovation support Incubators and accelerators; Investment funds Ministerial Decision 1275 (Startups ; Micro-enterprises ; Patents) University incubators and technology-support centres Role of artificial intelligence in the ecosystem Linking universities with the economic environment.

    3

    Introduction to Startups and Lean Startup Methodology

    Difference between traditional companies and startups Concept of innovation Uncertainty in entrepreneurial projects Origins of the lean startup approach Core principles of the methodology Validated learning Reducing waste Build–Measure–Learn cycle Innovation accounting Difference between traditional accounting and innovation accounting Measuring progress under uncertainty. Learning Metrics instead of Profit Metrics

    4

    Market Understanding and Customer Discovery

    Stages of startup creation: idea, team, prototype, investment Steve Blank’s methodology Customer Development: understanding the market and customer behaviour Problem identification Analysis of customer needs Entrepreneurial interviews Building hypotheses Problem–Solution Fit

    5

    Business Model Canvas

    Concept of the Business Model Canvas Value proposition Customer segments Channels Revenue streams Financial structure / Cost structure

    6

    Minimum Viable Product — MVP

    Concept of the MVP Types of MVP: digital/experimental/service/ fake-door Hypothesis testing Rapid prototyping Prototype development tools Digital and industrial MVPs How to measure failure in the shortest possible time

    7

    Artificial Intelligence and TRIZ for Innovation

    Artificial intelligence in entrepreneurship Idea generation Market analysis MVP development Smart marketing TRIZ methodology Technical contradictions Ideal Final Result Combining AI with TRIZ Deep Tech Startups

    8

    Measurement, Analytics and Failure Management

    KPIs — Key Performance Indicators Startup management Leading innovation teams Concepts of growth measurement in startups AARRR Metrics: a method for measuring startup development through five stages: Acquisition: How do we reach and attract customers? Activation: Does the user try the product for the first time? Retention: Do users come back to use it again? Revenue: Does the project generate income/profit? Referral: Do users recommend the product to others?

    9

    Pivot or Persevere

    Concept of Pivot: partial or complete strategic change Concept of Persevere: continuing with the current direction When to change direction? Types of Pivot Decision indicators

    10

    Funding, Growth and Scaling

    Initial funding Self-financing / bootstrapping Investors Angel investors Venture capital Crowdfunding Funding stages Growth Hacking Engines of Growth

    II- Practical Sessions:

    Session

    Title

    Focus

    1

    Case Study: MIT and the Entrepreneurial University

    Analyse why MIT succeeded in creating thousands of startups; identify the relationship between research and innovation; explain the role of incubators and accelerators; compare MIT with Algerian universities; propose a plan to transform an Algerian university into a University 4.0.

    Workshop: Designing an Algerian University 4.0

    Work in teams to design an innovation centre, business incubator, business accelerator, technological support and innovation centre, subsidiary company and university investment fund; submit an integrated organisational roadmap for a University 4.0 model.

    2

    Case Study: Journey of an Algerian Startup

    Select an Algerian startup that obtained a startup label; analyse the actors that supported it; identify its funding sources; map its ecosystem; propose mechanisms to accelerate its growth.

    Workshop: Mapping the Entrepreneurial Ecosystem

    Use Miro or Canvas to map the actors of the Algerian entrepreneurial ecosystem: universities, research centres, incubators, accelerators, investors, banks, companies, public agencies, startups and innovators; show relationships between actors and present improvement proposals.

    3

    Case Study: Failure of a Technology Startup

    Analyse a startup that spent resources before validating market need; identify the mistakes and sources of waste; propose how Lean Startup could have reduced risk; design an alternative Build–Measure–Learn cycle.

    Workshop: Dropbox and Lean Validation

    Analyse how Dropbox validated demand before developing the full product; identify the tested assumptions; compare the cost of the experiment with the cost of full product development; explain the value of early validation.

    4

    Case Study: An Artificial Intelligence Platform for Students

    Students analyse a proposed AI-based academic assistance platform. They formulate 10 hypotheses, prepare an interview guide, conduct 20 field interviews, and extract the real problems faced by students. The expected output is a validated problem statement supported by interview evidence.

    Workshop: Entrepreneurial Interviews

    Students simulate entrepreneurial interviews by playing the roles of entrepreneur, potential customer and investor. They practise asking questions, collecting feedback and analysing interview results. The expected output is a short report showing validated assumptions, rejected assumptions and key customer insights.

    5

    Business Model Canvas Workshop

    Build a complete Business Model Canvas for a selected project; define the value proposition, customers, channels, revenue streams, partners and costs; defend the model before the class or an evaluation committee.

    6

    Case Study: A Smart Delivery Application

    Students analyse a smart delivery app project with a limited team budget. They design the lowest-cost MVP, identify the critical hypotheses to test, choose the most appropriate MVP type, and define clear success and failure indicators. The expected output is an MVP design plan with testable assumptions and evaluation criteria.

    Workshop: Building a Real MVP

    Students build an initial MVP or prototype using tools such as Figma, Glide, Bubble or Canva. The prototype may be developed during the session or completed at home. The expected output is a simple functional or visual prototype that can be used for customer testing.

    7

    Case Study: A Smart Agriculture Startup

    Students analyse a smart agriculture startup aiming to increase production while reducing water consumption. They identify the technical contradiction, apply TRIZ principles, use generative AI assistants to generate solutions, and evaluate the proposed solutions. The expected output is a set of justified innovation solutions based on AI-assisted ideation and TRIZ reasoning.

    Workshop: AI Innovation Sprint

    A 90-minute sprint, students use only AI tools to generate an innovative idea, define an MVP and build a preliminary business model. The expected output is a short innovation concept including the problem, proposed solution, MVP and business model structure.

    8

    Case Study: An E-learning Platform

    Students analyse an e-learning platform using basic startup data: 10,000 visits, 1,000 registrations, 400 active users and 40 paid customers. They calculate AARRR indicators, identify the main bottleneck, suggest improvement actions, and decide whether the project is progressing toward Product–Market Fit. The expected output is a short analytical report based on startup metrics.

    Workshop: Startup Dashboard

    Students build a startup dashboard including Acquisition, Activation, Retention, Revenue, Referral and Burn Rate. They interpret the results and explain how the dashboard can guide startup decisions. The expected output is a simple visual dashboard with comments on performance, weaknesses and recommended actions.

    9

    Case Study: Instagram — From Burbn to Instagram

    Students analyse the transition from Burbn to Instagram as an example of Pivot. They identify the reason for the Pivot, the data that supported the decision, the results achieved, and possible alternative strategic choices. The expected output is a short case analysis explaining why the Pivot was justified.

    Workshop: Board Meeting Simulation

    Students analyse a startup file including performance indicators, customer feedback and financial data. They simulate a board meeting and take a collective decision: Pivot, Persevere or Kill Project. The expected output is a justified strategic decision supported by statistics, evidence and numbers.

    10

    Semester-long Startup Lab Project

    Students develop a startup project throughout the semester. The project includes selecting a real problem, conducting Customer Discovery, preparing a Business Model Canvas, designing an MVP, using AI and TRIZ tools, measuring and analysing results, making a Pivot/Persevere decision, preparing a funding and growth plan, and presenting a final pitch. The expected output is a complete startup project file and final pitch presentation.

    Assessment

    d) Assessment Method

    Component

    Description

    Weight

    Continuous Assessment

    80%

    Group Project

    Continuous team-based work throughout the module. Students progressively develop their project through problem identification, customer discovery, hypothesis testing, business model design, MVP development, and project refinement.

    40%

    Tutorials and Practical Work

    Participation in tutorials, workshops, practical exercises, discussions, feedback sessions, and intermediate activities related to the Lean Startup methodology.

    40%

    Final Exam

    20%

    Written Report

    Written report presenting the development, validation, business model, MVP, strategic decisions, and growth perspectives of the startup project.

    10%

    Oral Presentation

    Oral presentation of the team-based project, followed by discussion and evaluation of clarity, coherence, entrepreneurial relevance, and quality of communication.

    10%

    References

    e) References (Books, handouts and websites, etc.)

    Books on Lean Startup and Entrepreneurial Methodology

    Ries, E. (2011). The Lean Startup.

    Blank, S., & Dorf, B. (2012). The Startup Owner’s Manual.

    Maurya, A. (2012). Running Lean.

    Business Model and Value Design

    Osterwalder, A., & Pigneur, Y. (2010). Business Model Generation.

    Osterwalder, A., Pigneur, Y., Bernarda, G., & Smith, A. (2014). Value Proposition Design.

    Growth and Startup Strategies

    Weinberg, G., & Mares, J. (2015). Traction: How Any Startup Can Achieve Explosive Customer Growth.

    Eyal, N. (2014). Hooked: How to Build Habit-Forming Products.

    Measurement, Analytics and Performance Management

    Croll, A., & Yoskovitz, B. (2013). Lean Analytics.

    Doerr, J. (2017). Measure What Matters.

    Management and Leadership in Startups

    Grove, A. S. (1983). High Output Management.

    Horowitz, B. (2014). The Hard Thing About Hard Things.

    Artificial Intelligence and Entrepreneurship

    Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence.

    Iansiti, M., & Lakhani, K. R. (2020). Competing in the Age of AI.

    Innovation and TRIZ Methodology

    Altshuller, G. (1999). The Innovation Algorithm: TRIZ, Systematic Innovation and Technical Creativity.

    Ikovenko, S. (2003). TRIZ: The Theory of Inventive Problem Solving.

    Key Scientific and Professional Articles

    Blank, S. (2013). Why the Lean Start-Up Changes Everything.

    Graham, P. (2013). Do Things That Don’t Scale.

    Reports and White Papers

    Y Combinator. (2018). Startup Playbook.

    McKinsey Global Institute. (2023). The State of AI in Business.

    Stanford University. (2024). Artificial Intelligence Index Report.

    OECD. (2022). OECD Entrepreneurship and Innovation Policy Frameworks.

  8. Bioprogramming 2
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 10h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    Bioprogramming 2

    Overview

    Recommended prior knowledge

    Mastery of level 1 Python fundamentals

    Familiarity with a development environment (such as PyCharm or Jupyter)

    Objectives

    Learning objectives

    This course consolidates Python fundamentals by reviewing variables, loops, functions and files, and introduces NumPy, Pandas and Matplotlib for biological problems. It develops independence in installing and importing libraries through Anaconda, introduces bioinformatics tools and leads to an analysis or simulation project.

    Programme

    Course content

    1. Data manipulation with NumPy

    Use NumPy arrays to represent biological data (sequences and matrices).

    Apply vector operations and slicing to data analysis.

    2. Biological data analysis with pandas

    Read and manipulate CSV files (e.g. PCR results and enzyme assays).

    Sort, filter and group data for experimental analysis.

    3. Data visualisation with Matplotlib

    Create plots (curves and histograms) to present biological results.

    Customise visualisations (titles, legends and labels).

    4. Object-oriented programming (OOP)

    Fundamental concepts: understand classes, objects, attributes and methods; implement a simple class.

    Inheritance and special methods.

    5. Introduction to Biopython

    Read and analyse FASTA files.

    Extract information from DNA sequences (length and content).

    Assessment

    Assessment: Continuous assessment: 40 %; examination: 60 %.

    References

    References: Books, course handouts, websites, etc.
  9. English for Biologists — Intermediate
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 05h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S4
    English for Biologists — Intermediate

    Overview

    Recommended prior knowledge
    Prior knowledge of basic English

    Objectives

    Learning objectives

    The objective of this course is to provide students with a solid foundation for communicating (both written and spoken) in English.

    Programme

    Course content

    Unit 1: The World of work

    Grammar: Present perfect

    Vocabulary: Work and employment vocabulary.

    Reading: Dream jobs.

    Speaking: What is your dream job?

    Listening: Types of Biotech Companies.

    Writing: Writing application letters.

    Unit 2: Microalgae: the green gold of the future?

    Grammar: Conditionals.

    Everyday English: making suggestions.

    Reading: High-added value products from microalgae.

    Speaking: If you have funding, what would you do?

    Listening: Biofuel from microalgae.

    Writing: If the microalgae...

    Unit 3: Food Biotechnology

    Grammar: Reported speech.

    Vocabulary: Vocabulary for biotechnology

    Reading: Applications of enzymes in the Food Industry

    Speaking: Is it safe to use enzymes in food?

    Listening: Enzymes in milk & cheese.

    Writing: Scientific text using reported speech.

    Unit 4: Biofuel cell

    Grammar: Expressions of quantity.

    Vocabulary: Biofuel cells vocabulary.

    Reading: Biofuel Cells, enzymes and microbes for energy production.

    Speaking: Why don’t we have functional biofuel yet?

    Listening: The future of bioenergy.

    Writing: From excel to text, expressions of quantities.

    Unit 5: Bioentrepreneurship

    Grammar: Relative clauses.

    Vocabulary: Entrepreneurship.

    Reading: The three pillars of bioentrepreneurship.

    Speaking: Biotechnology and economic development.

    Listening: Biotechnology is the future of manufacturing.

    Writing: scientific text using relative clauses.

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.

    Metagenomics

    Synthetic Biology

    Plant Biotechnology and Plant Improvement

    Bioprocess Design — Case Studies

    Molecular Biology Workshop 5 — Gene and Protein Expression

    Bioengineering Workshop

    Discovery teaching unit

    Biostatistics

    Reverse Engineering

    Transversal teaching unit

    English for Biologists — Advanced

Browse available syllabuses
Semester 59 modules
  1. Metagenomics
    5 creditsCoefficient 3Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 70h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S5
    Metagenomics

    Overview

    Recommended prior knowledge

    Knowledge of microbiology, molecular biology and bioinformatics.

    Objectives

    Learning objectives

    By the end of the course, students will master the basic concepts of metagenomics, enabling comprehensive analysis of the taxonomic composition of a community of organisms and providing precise information on its diversity and genetic characteristics.

    Programme

    Course content

    I – Metagenomics

    1 – Introduction to metagenomics

    2 – Metagenomic strategies

    – Whole-community metagenomics

    – Targeted metagenomics

    – 16S ribosomal RNA

    3 – Taxonomic assignment

    – Closed-reference strategy

    – De novo strategy

    – Operational taxonomic unit table

    4 – Data analysis

    – Alpha diversity

    – Beta diversity

    II – The microbiota

    1 – Introduction to the microbiota

    – Structure and function

    – Diversity of the healthy human microbiota

    2 – Microbiota dysbiosis

    – Highly abundant functions contributed by low-abundance microbes

    – Phylogenetic and functional variation between enterotypes

    – Host-associated functional biomarkers

    – Correlations with the host phenotype

    – Relationship between metabolism and the microbiota

    III – The microbiota metagenome

    1 – Overall phylogenetic and functional variation in intestinal metagenomes

    2 – Bacterial genomics and metagenomics: clinical applications and medical importance

    3 – Diagnostic tools

    – Development of molecular diagnostic tools

    – Development of serological tools

    4 – Antibiotic resistance

    5 – Epidemiology and dissemination of multidrug-resistant bacteria

    Tutorials

    Article analysis

    Statistical analysis of metagenomic data using R

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, course handouts, websites and other resources.
  2. Synthetic Biology
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S5
    Synthetic Biology

    Overview

    Recommended prior knowledge

    Knowledge of molecular biology and genetics.

    Objectives

    Learning objectives

    By the end of the course, students will master the basic concepts of synthetic biology and be able to construct simple synthetic systems virtually and in E. coli.

    Programme

    Course content

    Concepts

    History of synthetic biology

    Foundations of synthetic biology

    Engineering living systems

    Tools and approaches in synthetic biology

    Chemistry, biochemistry and recoding of living systems

    Metabolic engineering

    DNA sequencing and fabrication: basic building blocks

    Genetic rewriting

    Introduction to xeno nucleic acids

    Mathematical modelling

    Measurements: microscopy and flow cytometry

    Design of customised metabolic pathways

    Design of regulatory systems

    Applications

    Future challenges in synthetic biology

    Safety, social and ethical aspects

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, course handouts, websites and other resources.
  3. Plant Biotechnology and Plant Improvement
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: -Practicals / week: 01h30Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S5
    Plant Biotechnology and Plant Improvement

    Overview

    Recommended prior knowledge

    Molecular biology, genetic engineering and plant biology.

    Objectives

    Learning objectives

    This course develops students' understanding of the theory and selected basic techniques of plant biotechnology. Main topics are addressed theoretically and/or practically.

    By the end of the course, students should know the techniques used in plant transformation, tools for controlling plant gene expression, rational modification of gene expression, and strategies for discovering and characterising plant genes.

    Programme

    Course content

    Theoretical component:

    Plant biotechnology

    1.1. A brief history of plant biotechnology

    1.2. Traditional plant improvement methods

    Plant transgenesis

    Indirect DNA transfer to plant cells mediated by Agrobacterium

    Discovery of the Ti plasmid

    From pathogen to transformation vector: stages of plant-cell infection by A. tumefaciens

    Indirect DNA transfer: practical applications of Agrobacterium-mediated plant transformation

    Direct DNA transfer to plant cells

    Particle bombardment

    Electroporation

    Whiskers

    Direct DNA uptake

    A toolkit for plant genetic engineering

    Tools for gene overexpression and downregulation

    Using transgenic plants in research and development strategies

    Tools for controlling target-gene expression in space and time: constitutive, inducible and tissue-specific promoters; terminators; other construct elements related to transgene expression and intracellular targeting; and selection markers.

    Strategies for rational modification of gene expression: sense and antisense strategies, ribozymes, co-suppression and RNA interference.

    Strategies for plant gene discovery: activation tagging, random mutagenesis, targeted mutagenesis and genome editing, and promoter discovery.

    Biosafety and bioethics in plant biotechnology

    Biological risks

    Uncontrolled transfer of genetic material between modified and unmodified crops

    Effects on biodiversity and emergence of resistance

    Biosafety measures

    Biological containment

    Buffer zones

    Post-cultivation monitoring

    Application of the Cartagena Protocol and the precautionary principle

    Ethical considerations

    Preserving biodiversity and protecting local agriculture

    Respecting informed consent

    Equitable access to innovations and transparency regarding genetically modified organisms

    Practical work

    Totipotency

    Protoplast isolation and fusion

    Preparing a karyotype

    Haploid production and chromosome doubling

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  4. Bioprocess Design — Case Studies
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 50h00

    Assessment: continuous assessment 40 % · exam 60 %

    Explore this module
    S5
    Bioprocess Design — Case Studies

    Overview

    Recommended prior knowledge

    Chemistry, microbiology, enzymology and genetic engineering

    Objectives

    Learning objectives

    This course introduces bioprocess design and scale-up, covering biological transformations in upstream processing (USP) and purification in downstream processing (DSP). Students learn the foundations of biotechnological engineering and bioprocess implementation through concise overviews complemented by real industrial case studies.

    Examples are addressed through a participatory practical approach using numerical simulation tools. Practical issues of scale-up, process control and industrialisation are covered, together with batch, continuous and semi-continuous/fed-batch operation and typical downstream processing operations.

    Programme

    Course content
    Chapter 1: Introduction to process design
    Chapter 2: Principles of bioprocess engineering

    Industrial bioprocesses: biocatalysis, unit operations and applications

    Bioprocess design

    Bioprocess modelling and simulation

    Economic and environmental optimisation of bioprocesses

    Case study: mass balance of a bioprocess

    Chapter 3: Bioprocesses and recombinant protein production

    Industrial enzymatic bioconversions

    Design of a continuous bioprocess coupling recombinant protein production and purification

    Modelling and simulation of a bioreactor for recombinant protein expression

    Case study: an industrial process for recombinant vaccine production

    Chapter 4: Microbial fermentation processes

    Industrial microbial fermentations

    Design of microbial fermentation processes

    Modelling and simulation of an enzymatic bioreactor

    Case study: an industrial process for producing a recombinant protein by fermentation

    Chapter 5: Purification processes — downstream processing (DSP)

    Overall approach to downstream processing

    Main purification unit operations in bioprocesses

    DSP process design and technology selection

    Case studies: industrial lysine purification

    Note: The case studies listed are indicative and may vary.

    Assessment

    Assessment: Continuous assessment: 40%; examination: 60%.

    References

    References: Books, course handouts, websites and other resources.
  5. Molecular Biology Workshop 5: Gene and Protein Expression
    5 creditsCoefficient 3Semester hours: 60h00
    Lectures / week: -Tutorials / week: -Practicals / week: 04h00Other hours: 60h00

    Assessment: continuous assessment 60% · exam 40%

    Explore this module
    S5
    Molecular Biology Workshop 5: Gene and Protein Expression

    Overview

    Recommended prior knowledge

    Knowledge of molecular biology and genetics.

    Objectives

    Learning objectives

    This gene and protein expression workshop is intended for future molecular biology engineers. It familiarizes students with primary cell culture and a range of molecular and cellular biology techniques, using software to analyse and interpret results. Primary cells are exposed to UV irradiation, and its effect on p53 gene expression at the transcriptional level is analysed by reverse-transcription quantitative PCR (RT-qPCR). In parallel, the effects of UV irradiation on p53 and phosphorylated p53 protein expression are analysed by Western blotting.

    Programme

    Course content

    Step 01: Cell culture and irradiation

    Isolation of peripheral blood mononuclear cells (PBMCs) by Ficoll® density-gradient centrifugation.

    Exposure of PBMCs from healthy donors’ peripheral blood to ultraviolet radiation.

    Culture of these cells at 37°C and 5% CO2.

    Harvesting of cells at different times for gene and protein analyses.

    Step 02: Investigating the effect of irradiation on p53 gene expression

    Extraction of total RNA

    DNase treatment

    RNA quantification

    Reverse transcription of mRNA into cDNA (RT-PCR)

    Quantification of mRNA using real-time PCR (qPCR)

    Analysis and interpretation of results

    Step 03: Investigating the effect of irradiation on p53 and phosphorylated p53 protein expression

    Lysis of cultured cells

    Protein assay using Bradford reagent

    Sample preparation

    Polyacrylamide gel electrophoresis

    Transfer of proteins to a membrane

    Immunodetection using a specific primary antibody and a conjugated secondary antibody

    Signal development and interpretation of results

    Band quantification

    Assessment

    Assessment: Continuous assessment 60%; examination 40%.

    References

    References: Books, course handouts, websites and other resources.
  6. Bioengineering Workshop
    4 creditsCoefficient 2Semester hours: 45h00
    Lectures / week: -Tutorials / week: -Practicals / week: 03h00Other hours: 50h00

    Assessment: continuous assessment 100% · exam

    Explore this module
    S5
    Bioengineering Workshop

    Overview

    Recommended prior knowledge

    Knowledge and skills acquired during previous semesters.

    Objectives

    Learning objectives

    Bioengineering workshops enable engineering students, individually or in small groups, to carry out an applied mini-project from design (process, substrate–product relationship or model) through implementation and results analysis. Students draw on knowledge and skills acquired in earlier semesters in environmental, microbial, pharmaceutical, health or agri-food biotechnology.

    Applications extend over several days. Each workshop focuses on a specific technological application, addressing a problem or implementing an original approach.

    Programme

    Course content

    Mini-project topics are proposed by teaching staff and/or students. Each applies at least one field taught in earlier semesters—genetic, biochemical, microbial or enzyme engineering, or bioinformatics—to a problem or original application in industry, pharmaceuticals, medicine or a related field.

    Assessment

    Assessment: 100% continuous assessment.

    References

    References: Books, course handouts, websites, etc.
  7. Biostatistics
    2 creditsCoefficient 1Semester hours: 45h00
    Lectures / week: 01h30Tutorials / week: 01h30Practicals / week: -Other hours: 25h00

    Assessment: continuous assessment 40 % · exam 60 %

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    S5
    Biostatistics

    Overview

    Recommended prior knowledge

    Mathematics, computing and biostatistics.

    Objectives

    Learning objectives

    This course introduces statistical methods and their underlying principles, together with practical guidance on analysing and interpreting statistical data, particularly for biological systems. By the end of the course, students should be able to:

    Understand how to summarise statistical data.

    Apply appropriate statistical tests based on the research question, study design and data type.

    Interpret the results of statistical tests and their application to biological systems.

    Programme

    Course content

    Introduction: Welcome to R

    Software installation

    Basics of using R

    Calculating means and standard deviations

    Correlation and regression analysis

    Graphical representations

    Analysis of variance (one-way and two-way) and analysis of covariance

    Statistical tests

    Assessment

    Assessment: Continuous assessment: 40 %; examination: 60 %.

    References

    References: Books, course handouts, websites, etc.
  8. Reverse Engineering
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 15h00

    Assessment: continuous assessment 40 % · exam 60 %

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    S5
    Reverse Engineering

    Overview

    Recommended prior knowledge

    Molecular biology, genetics, biochemistry and basic scientific computing.

    Objectives

    Learning objectives

    This module introduces the fundamental principles of reverse engineering applied to the life sciences, focusing on understanding and reconstructing complex biological systems. It covers technological reverse engineering, Technology Readiness Levels (TRLs) and legal issues related to intellectual property. Students also gain practical skills in bioinformatics, biological network modelling and genetic construct engineering. The aim is to train biologists to design, simulate and optimise biological systems using integrated, innovative approaches.

    Programme

    Course content
    Chapter 1: Principles and challenges of reverse engineering in the life sciences

    Fundamental concepts of reverse engineering

    Definition and history

    Origins in mechanical and electronic engineering, followed by adaptation to the life sciences.

    The importance of reverse engineering in modern biology: understanding, improving and reproducing.

    1.2. Differences between reverse engineering and forward engineering

    Forward engineering: a linear design process from idea to product.

    Reverse engineering: starting with an existing product to infer its design.

    Industrial applications

    Maintenance and improvement of biological equipment, such as PCR instruments and sequencers.

    Competitive innovation: bioprinting and developing alternative diagnostic tools.

    Interoperability: compatibility between instruments, software and databases.

    Technology Readiness Level (TRL) scale

    Overview of the nine TRLs

    TRL 1: Observation of basic scientific principles.

    TRL 5: Technology validation in a relevant environment.

    TRL 9: A system proven in an operational environment.

    Positioning a biological project on the TRL scale

    Examples: developing a rapid PCR test and producing experimental vaccines.

    Resources needed to progress through the TRLs

    Human, material and financial resources.

    Planning pilot and pre-industrial trials.

    Legal framework and intellectual property

    3.1. The right to reverse engineer in relation to patents

    Fair use, the Digital Millennium Copyright Act (DMCA) and European directives.

    International comparative analysis

    Summary table:

    Country or region

    Permission to reverse engineer

    Main restrictions

    USA

    Yes

    Contractual clauses and the DMCA

    EU

    Limited

    Software directives

    Managing legal risks

    Drafting clear contracts, specific reverse-engineering clauses and anti-circumvention protections.

    Legal limits

    Reverse engineering permitted for analysis and interoperability; prohibited for unauthorised copying or resale.

    Chapter 2: Integrated approaches to reverse engineering, bioinformatics and biological systems modelling

    Reverse engineering of biological systems

    Biological deconstruction approach

    Decomposing metabolic networks and signalling pathways.

    Functional reconstruction from experimental data.

    Practical examples

    Oxidative stress response networks.

    Molecular mechanisms of apoptosis.

    Bioinformatics and free software in the biological sciences

    2.1. Introduction to open-source software

    Biopython, RStudio and Galaxy for biological analysis.

    Practical workshops

    Genome annotation with GenomeTools.

    Analysing target-gene sequence data using FastQC and Clustal Omega.

    Modelling and simulation in biology

    Free simulation tools

    COPASI for biochemical systems dynamics.

    CellDesigner for modelling signalling networks.

    Mini-projects

    Simulating the dynamics of an inflammatory network.

    Optimising a metabolic pathway using a dynamic model.

    Reverse engineering of genetic tools

    Plasmid analysis and reverse engineering using Benchling and SnapGene Viewer.

    Engineering promoters and reporter genes.

    Workshop: reverse-designing an optimised genetic construct for bacterial expression.

    Assessment

    Assessment: continuous assessment 40%; examination 60%.

    References

    References: books, handouts, websites and other resources.
  9. English for Biologists — Advanced
    1 creditsCoefficient 1Semester hours: 22h30
    Lectures / week: 01h30Tutorials / week: -Practicals / week: -Other hours: 5h00

    Assessment: continuous assessment 40 % · exam 60 %

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    S5
    English for Biologists — Advanced

    Overview

    Recommended prior knowledge

    Basic knowledge of English

    Objectives

    Learning objectives

    This course develops students’ written and spoken communication skills in English.

    Programme

    Course content

    Unit 1: Basic rules of language for scientific manuscripts

    - Overview of language for scientific manuscripts

    - Tenses

    - Grammar

    - Sentences

    - Paragraphs

    Unit 2: Common errors to avoid when writing a manuscript

    Unit 3: Thesis defence

    - What is a thesis defence?

    - How to begin your presentation

    - Formulating the research problem and objectives

    - Describing the methods

    - Describing and discussing the results

    - Conclusions and future directions

    - Working on transitions

    - How to conclude your presentation

    Unit 4: After graduation: what next?

    - Identifying your career goals

    - Preparing for a job interview

    - Writing your CV

    - Writing a cover letter

    - Applying for a scholarship

    Assessment

    Assessment: Continuous assessment: 40 %; examination: 60 %.

    References

    References: Books, course handouts, websites, etc.

    Final-year project

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Semester 61 module
  1. Final-Year Project
    30 creditsCoefficient 17Semester hours: 750
    Lectures / week: 75Tutorials / week: 225Practicals / week: 450Other hours: -

    Assessment: continuous assessment 50 % · exam 50 %

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    S6
    Final-Year Project

    Overview

    Technical and scientific prerequisites

    Students should learn how to select and defend a research topic and how to plan, conduct, evaluate and discuss their experiments effectively. They should demonstrate substantial improvement in the following areas:

    In-depth knowledge of the chosen research field.

    Ability to integrate knowledge critically and systematically to identify problems to be addressed within a specific dissertation.

    Competence in research design and planning.

    Ability to develop, analyse and critically evaluate different technical solutions.

    Ability to conduct research independently.

    Ability to apply analytical techniques and experimental methods.

    Project management skills.

    Report-writing skills.

    Problem-solving skills.

    Communication and interpersonal skills.

    Objectives

    Final-year project objectives

    The final-year project prepares students to adapt to a research environment and understand how projects are carried out in a laboratory. It also enables them to learn practical aspects of molecular biology and develop skills in analysis and dissertation writing.

    Programme

    Methodological approach

    Planning and conducting experiments

    Based on the project proposal submitted in the previous semester, students should be able to plan and undertake an independent critical investigation as a final-year project in biotechnology. They should systematically identify relevant theories and concepts, relate them to appropriate methodologies and evidence, apply suitable techniques and draw appropriate conclusions. Students should work independently and understand the purpose and possible outcomes of each experiment they conduct.

    Writing the dissertation

    At the end of the project, students must write a dissertation covering all details, including the objective, methodology, results, discussion and future work. They may aim to publish their research findings in a peer-reviewed journal and may apply for a patent if the findings have application-oriented outcomes.

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