Study programme 2023-2024 | Français | ||
Competitive Programming | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
---|---|---|---|---|
I-MARO-037 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 18 | 18 | 0 | 0 | 0 | Q2 |
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.
The teaching methods are likely to be adjusted according to the context imposed by the health measures.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
Location of assessment