 | Study programme 2022-2023 | Français | |
 | Competitive programming | ||
Programme component of Master's in Computer Science (MONS) (day schedule) à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M1-SCINFO-055-M | Optional UE | VANDAELE Arnaud | F151 - Mathématique et Recherche opérationnelle |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Anglais | 12 | 12 | 0 | 0 | 0 | 2 | 2.00 | 2nd term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-037 | Competitive Programming | 12 | 12 | 0 | 0 | 0 | Q2 | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
- Manage large-scale software development projects.
- Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
- Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
- Demonstrate independence and their ability to work alone or in teams.
- Master communication techniques.
- Adapt their communication to a variety of audiences.
- Where possible, communicate in a foreign language.
- Develop and integrate a high degree of autonomy.
- Aquire new knowledge independently.
- Pursue further training and develop new skills independently.
- Develop and integrate a high degree of autonomy to evolve in new contexts.
- Apply scientific methodology.
- Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
Learning Outcomes of UE
acquire algorithmic knowledge and specific programming skills in order to be able to solve engineering problems in a limited time and participate in external challenges
Attendance at theory/exercises classes of at least 80% is required. Attendance at practical sessions (and challenges) and seminars is mandatory.
UE Content: description and pedagogical relevance
Les modalités d'enseignement sont susceptibles d'être ajustées en fonction du contexte d'enseignement imposé par les mesures sanitaires.
- 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.
Prior Experience
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-037 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-037 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-037 | Not applicable |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-037 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-037 | Not applicable |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| I-MARO-037 | Unauthorized |
Term 2 Assessment - type
| AA | Type(s) and mode(s) of Q2 assessment |
|---|---|
| I-MARO-037 |
|
Term 2 Assessment - comments
| AA | Term 2 Assessment - comments |
|---|---|
| I-MARO-037 | Attendance at theory/exercise classes of at least 80% is required. Presence, on the dates announced by the teacher, at practical sessions, competitions and possible seminars is compulsory. The grade will consist of a grade A(/ 20) for the continuous assessment (specified by the teacher) and a grade B(/ 20) for the exam. For students who have complied with the 80% attendance rule, the final mark will be calculated according to the following formula: final mark = 0.4*A+0.6*B For students who have not respected the 80% attendance rule, the final grade will be calculated according to the following formula: final grade = B |
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| I-MARO-037 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| I-MARO-037 | Attendance at theory/exercise classes of at least 80% is required. Presence, on the dates announced by the teacher, at practical sessions, competitions and possible seminars is compulsory. The grade will consist of a grade A(/ 20) for the continuous assessment (specified by the teacher) and a grade B(/ 20) for the exam. For students who have complied with the 80% attendance rule, the final mark will be calculated according to the following formula: final mark = 0.4*A+0.6*B For students who have not respected the 80% attendance rule, the final grade will be calculated according to the following formula: final grade = B |