 | Study programme 2020-2021 | Français | |
| Introduction to Computational Neuroscience | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| M-DOYM-065 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 20 | 0 | 0 | 0 | 0 | Q1 |
| Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19) |
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| Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19) |
| Students will have to write a python script to analyze a data set given to them. This will allow us to test their analyses skills as well as their capabilities to write basic data algorithms. |
Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
- Production of individual or group work, essay, report, dissertation...
Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)
Students will have to write a python script to analyze a data set given to them. This will allow us to test their analyses skills as well as their capabilities to write basic data algorithms.
Type of Teaching Activity/Activities
- Cours magistraux
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
(*) 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