Study programme 2020-2021Français
Programme component of Master's in Biology of Organisms and Ecology à la Faculty of Science

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
US-M1-BIOECO-003-MCompulsory UEDELGRANGE OlivierS829 - Informatique théorique
  • DELGRANGE Olivier

of instruction
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français15000022.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
Programme component

Objectives of Programme's Learning Outcomes

  • Master communication techniques.
    • Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
  • Develop and integrate a high degree of autonomy.
    • Pursue further training and develop new skills independently.

Learning Outcomes of UE

At the end of this course, students will be able to understand the mechanisms of simple resolutions of computer science problems (algorithms). They will be able to develop simple algorithms on data from molecular biology (genetic sequences). Students will be able to explain the methods of sequence alignment and the issue of sequencing of genomes. They can assess the complexity of simple algorithms and explain why some problems have an inherent complexity that makes them insoluble in practice (NP-completeness). The students will be able to write small scripting programs to automate bioinformatics tasks.

Content of UE

Algorithmic; genetic sequence databanks; pseudo-language; variable; complexity of algorithms; efficiency; dot-plot, sequence alignment, substitution matrices, NP-completeness, assembly of DNA fragments

Prior Experience

Concepts of biochemistry; handling of a personal computer and Internet

Type of Assessment for UE in Q1

  • Oral examination

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Oral exam to assess the mastership of the learned concepts (100%)

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
  • Cours magistraux
  • Conférences

Mode of delivery

AAMode of delivery
  • Face to face

Required Reading


Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-BIOG-143Not applicable

Recommended Reading


Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-BIOG-143Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-BIOG-143Neil C. Jones and Pavel A. Pevzner, An Introduction to BioInformatics Algorithms, MIT Press, 2004

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 09/07/2021
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111