 | Study programme 2025-2026 | Français | |
 | Research Project on Algorithms for Data Science | ||
Programme component of Master's in Computer Engineering and Management : Specialist Focus on Artificial Intelligence and Decision Aid (MONS) (day schedule) à la Faculty of Engineering |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UI-M2-IRIGIA-102-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 | 24 | 36 | 0 | 0 | 0 | 5 | 5.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-200 | Research Project on Algorithms for Data Science | 24 | 36 | 0 | 0 | 0 | Q1 | 100.00% |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, with a focus on Innovation and Information Systems, using their expertise and adaptability.
- Master and appropriately mobilise knowledge, models, methods and techniques related to the improvement of decision and management processes, mastery of mathematical modelling and optimisation algorithms, analysis of large volumes of data, mastery of Web and multimedia tools, design and operation of distributed and mobile computing systems, management of a software project, innovative management of a company and/or project team, information systems (data mining, database, cloud computing, etc.) and management of technological innovation.
- Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
- Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing needs, contexts and issues (technical, economic, societal, ethical and environmental).
- Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
- On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
Learning Outcomes of UE
Attendance at theory/exercises classes of at least 80% is required.
The teaching methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.
UE Content: description and pedagogical relevance
Attendance at theory/exercises classes of at least 80% is required.
The teaching methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.
Prior Experience
Numerical Analysis, optimization and programming skills
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-200 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-200 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-200 | Not applicable |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-200 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-200 | 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-200 | Unauthorized |
Term 1 Assessment - type
| AA | Type(s) and mode(s) of Q1 assessment |
|---|---|
| I-MARO-200 |
|
Term 1 Assessment - comments
| AA | Term 1 Assessment - comments |
|---|---|
| I-MARO-200 | The evaluation methods are likely to be adjusted according to the context imposed by the health measures. These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam. For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course. |
Resit Assessment - Term 1 (BAB1) - type
| AA | Type(s) and mode(s) of Q1 resit assessment (BAB1) |
|---|---|
| I-MARO-200 |
|
Resit Assessment - Term 1 (BAB1) - Comments
| AA | Resit Assessment - Term 1 (BAB1) - Comments |
|---|---|
| I-MARO-200 | Not applicable |
Term 3 Assessment - type
| AA | Type(s) and mode(s) of Q3 assessment |
|---|---|
| I-MARO-200 |
|
Term 3 Assessment - comments
| AA | Term 3 Assessment - comments |
|---|---|
| I-MARO-200 | The evaluation methods are likely to be adjusted according to the context imposed by the health measures. These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam. For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course. |