 | Study programme 2020-2021 | Français | |
 | Computer Programming and Algorithms I | ||
Programme component of Bachelor's in Physics 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 |
|---|
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-B2-SCPHYS-009-M | Compulsory UE | MELOT Hadrien | S825 - Algorithmique |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 30 | 60 | 0 | 0 | 0 | 8 | 8.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-INFO-002 | Computer Programming and Algorithms I | 30 | 60 | 0 | 0 | 0 | Q1 | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Grow personally and professionally
- Have developed generic skills that are applicable in other contexts, especially a basic knowledge of chemistry, the use of the English language and understanding programming techniques
Learning Outcomes of UE
At the end of this course, the student will be able to:
- understand an algorithm
- conceive an algorithm
- evaluate the properties and the efficiency of an algorithm
- write a full computer program (in Python)
Content of UE
See unique learning activity.
Prior Experience
None.
Type of Assessment for UE in Q1
- Written examination
- Graded tests
Q1 UE Assessment Comments
- Intermediate test: 15%
- Written examination: 85% Practical exercices are mandatory to have access to the examination (at least 75% of presence).
Type of Assessment for UE in Q3
- Written examination
Q3 UE Assessment Comments
Written examination: 100%
Type of Resit Assessment for UE in Q1 (BAB1)
- N/A
Q1 UE Resit Assessment Comments (BAB1)
N/A
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-INFO-002 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-INFO-002 |
|
Required Reading
| AA | |
|---|---|
| S-INFO-002 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-INFO-002 | Not applicable |
Recommended Reading
| AA | |
|---|---|
| S-INFO-002 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-INFO-002 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-INFO-002 | - Downey, A., Think Python: how to think like a computer scientist, Green Tea Press (2009) - Aho, A. et Ullman, J., Concepts fondamentaux de l'informatique, Dunod (1993) |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-INFO-002 | Authorized |