Study programme 2021-2022Français
Introduction to Coding
Programme component of Master's in Biomedical Sciences à la Faculty of Medicine and Pharmacy

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UM-M1-BIOMED-040-MOptional UEDAYE PierreM119 - Neurosciences
  • DAYE Pierre

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais15000022.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
M-NEUR-304Introduction to Coding150000Q1100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Scientific skills
    • Use acquisition and data analysis software specific to biomedical sciences
  • Professional integration skills
    • Invest their knowledge and skills in professional scenarios
    • Network, and use digital communication and collaboration tools
    • Work independently: - Get organised, manage time and priorities, assess themself. - Master assessment methods. - Continue learning individually, prepare to educate themselves throughout life. - Demonstrate abstract thinking. - Be introduced to project management. - Show initiative.

Content of UE

You will learn the foundations of coding using Python.
You will learn conditional structures, loops, functions and classes as well as how to integrate librairies written by others into your own piece of code.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Presentation and/or works

Q1 UE Assessment Comments

A test will help you evaluate your understanding within a global project

Type of Assessment for UE in Q3

  • Presentation and/or works

Q3 UE Assessment Comments

A test will help you evaluate your understanding within a global project

Type of Resit Assessment for UE in Q1 (BAB1)

  • Presentation and/or works

Q1 UE Resit Assessment Comments (BAB1)

A test will help you evaluate your understanding within a global project

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
M-NEUR-304
  • Cours magistraux

Mode of delivery

AAMode of delivery
M-NEUR-304
  • Face to face

Required Reading

AA
M-NEUR-304

Required Learning Resources/Tools

AARequired Learning Resources/Tools
M-NEUR-304Not applicable

Recommended Reading

AA
M-NEUR-304

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
M-NEUR-304Not applicable

Other Recommended Reading

AAOther Recommended Reading
M-NEUR-304Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
M-NEUR-304Authorized
(*) 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 dernière mise à jour de la fiche ECTS par l'enseignant : 25/05/2021
Date de dernière génération automatique de la page : 06/05/2022
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be