Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UI-M1-IRIGIG-830-C | Compulsory UE | SIEBERT Xavier | F151 - Mathématique et Recherche opérationnelle |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Français | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-MARO-156 | 100% |
Objectives of general skills
- 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.
- Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
- Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
- Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
- Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
- 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.
UE's Learning outcomes
perform a multivariate statistical analysis on data files;
interpret the results of such an analysis;
understand and apply classification and clustering techniques;
understand the principles of experimental design
UE Content
data representation and analysis; factorial methods (principal components analysis, multiple correspondance methods, rank analysis, ...); regression, analysis of variance; classification, clustering; experimental design. Software : R, Weka
Prior experience
one-dimensional descriptive statistics
algebra, calculus
Term 1 for Integrated Assessment - type
- N/A
Term 2 for Integrated Assessment - type
- Oral Examination
- Written examination
Term 3 for Integrated Assessment - type
- Oral examination
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Type of Teaching Activity/Activities
AA | |
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I-MARO-156 |
Mode of delivery
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I-MARO-156 |
Required Reading
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I-MARO-156 |
Required Learning Resources/Tools
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I-MARO-156 |
Recommended Reading
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I-MARO-156 |
Recommended Learning Resources/Tools
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I-MARO-156 |
Other Recommended Reading
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I-MARO-156 |
Term 1 Assessment - type
AA | |
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I-MARO-156 |
Term 1 Assessment - comments
AA | |
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I-MARO-156 |
Resit Assessment - Term 1 (B1BA1) - type
AA | |
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I-MARO-156 |
Resit Assessment - Term 1 (B1BA1) - Comments
AA | |
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I-MARO-156 |
Term 2 Assessment - type
AA | |
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I-MARO-156 |
Term 2 Assessment - comments
AA | |
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I-MARO-156 |
Term 3 Assessment - type
AA | |
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I-MARO-156 |
Term 3 Assessment - comments
AA | |
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I-MARO-156 |