 | Study programme 2018-2019 | Français | |
 | Artificial Intelligence | ||
Programme component of Master's Degree in Computer Engineering and Management Professional Focus - Mastering Information Systems à la Faculty of Engineering |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UI-M1-IRIGSI-011-M | Compulsory UE | MAHMOUDI Sidi | F114 - Informatique |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français, Anglais | 36 | 24 | 0 | 0 | 0 | 5 | 5.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-016 | Streaming Data Analysis | 12 | 12 | 0 | 0 | 0 | Q1 | 40.00% |
| I-INFO-026 | Artificial Intelligence | 24 | 12 | 0 | 0 | 0 | Q1 | 60.00% |
| 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.
- Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
- Assess the validity of models and results in view of the state of science and characteristics of the problem.
Learning Outcomes of UE
Prior Experience
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-016 |
|
| I-INFO-026 |
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-016 |
|
| I-INFO-026 |
Required Reading
| AA | Required Reading |
|---|---|
| I-MARO-016 | |
| I-INFO-026 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-016 | Not applicable |
| I-INFO-026 |
Recommended Reading
| AA | Recommended Reading |
|---|---|
| I-MARO-016 | |
| I-INFO-026 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-016 | Not applicable |
| I-INFO-026 |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-016 | C. Chatfield, The analysis of time series, Chapman and Hall, 1989 G. Mélard, Méthodes de prévision à court terme, Editions de l'Université Libre de Bruxelles et Editions Ellipses, 1990 |
| I-INFO-026 |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| I-MARO-016 | Authorized |
| I-INFO-026 | Unauthorized |
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term