 | Study programme 2019-2020 | Français | |
| Competitive Programming | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-037 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 12 | 12 | 0 | 0 | 0 | Q2 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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| Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
| The exam will consist of the individual resolution of algorithmic challenges (as in practical sessions) in the Python language in a given time. |
Content of Learning Activity
- Algorithmic part: greedy algorithms, graph problems, computational geometry, etc.
- Implementation part: advantages / disadvantages of programming languages according to usage, read / write input/output files, hash table, data structure, etc.
We will approach these lessons in parallel with the statements of previous competitions
Attendance at theory/exercises classes of at least 80% is required. Attendance at practical sessions (and challenges) and seminars is mandatory.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Travaux pratiques
- Projet sur ordinateur
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)