 | Study programme 2022-2023 | Français | |
 | Models and methods in Data Sciences | ||
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-024-M | Optional UE | GILLIS Nicolas | F151 - Mathématique et Recherche opérationnelle |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Anglais, Français | 12 | 12 | 0 | 0 | 0 | 2 | 2.00 | 2nd term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-015 | Models and methods in Data Sciences | 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.
- Apply scientific methodology.
- Critically reflect on the impact of IT in general, and on the contribution to projects.
- Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
Learning Outcomes of UE
- Model a system using a Markov chain and determine its behavior; Be able to use matrix factorization for unsupervised data analysis; Be able to implement the RSA encryption scheme;
UE Content: description and pedagogical relevance
This UE presents and analyzes different data models: Markov chains and their applications (Google PageRank, queues, etc.), matrix factorization, and RSA encryption
Prior Experience
Probability and statistics, optimisation
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-015 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-015 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-015 | Slides |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-015 | Sans objet |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-015 | 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-015 | Authorized |
Term 2 Assessment - type
| AA | Type(s) and mode(s) of Q2 assessment |
|---|---|
| I-MARO-015 |
|
Term 2 Assessment - comments
| AA | Term 2 Assessment - comments |
|---|---|
| I-MARO-015 | Not applicable There will be a global note which will be the average of the 2 AA's unless one has a value |
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| I-MARO-015 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| I-MARO-015 | 1 written Examen, 100% within the AA, duration : 3h. There will be a global note which will be the average of the 2 AA's unless one has a value |