Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|
UI-M1-IRIGIA-021-M | Compulsory UE | SIEBERT Xavier | F151 - Mathématique et Recherche opérationnelle | |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|
| Français | 12 | 12 | 0 | 0 | 0 | 2 | 2.00 | 1st term |
Objectives of Programme's Learning Outcomes
- Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
- Define and align the project in view of its objectives, resources and constraints.
- Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
- Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
- Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
- Exploit the different means available in order to inform and train independently.
- Contribute by researching the innovative solution of a problem in engineering sciences.
- Collect and analyse data rigorously.
- Adequately interpret results taking into account the reference framework within which the research was developed.
- 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.
- Assess the validity of models and results in view of the state of science and characteristics of the problem.
- Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
- Define and align the project in view of its objectives, resources and constraints.
- Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
- Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
- Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
- Exploit the different means available in order to inform and train independently.
- Contribute by researching the innovative solution of a problem in engineering sciences.
- Collect and analyse data rigorously.
- Adequately interpret results taking into account the reference framework within which the research was developed.
Learning Outcomes of UE
analyze a time serie with ANOVA models, and provide a critical analysis of the result
UE Content: description and pedagogical relevance
univariate time series (decomposition: trend, seasonality, cyclic component); ARIMA models and Box-Jenkins methodology; exponential smoothing; overview of multivariate time series.
Prior Experience
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
---|
I-MARO-016 | - Cours magistraux
- Travaux pratiques
- Travaux de laboratoire
- Etudes de cas
|
Mode of delivery
AA | Mode of delivery |
---|
I-MARO-016 | |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|
I-MARO-016 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|
I-MARO-016 | Not applicable |
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 |
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 |
Term 1 Assessment - type
AA | Type(s) and mode(s) of Q1 assessment |
---|
I-MARO-016 | - Written examination - Face-to-face
- Production (written work, report, essay, collection, product, etc.) - To be submitted online
|
Term 1 Assessment - comments
AA | Term 1 Assessment - comments |
---|
I-MARO-016 | Written exam: knowledge and understanding of the theory
Report on the study of a time series using a statistical software and a discussion of the report with the student |
Resit Assessment - Term 1 (B1BA1) - type
AA | Type(s) and mode(s) of Q1 resit assessment (BAB1) |
---|
I-MARO-016 | - Written examination - Face-to-face
- Production (written work, report, essay, collection, product, etc.) - To be submitted online
|
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
---|
I-MARO-016 | - Written examination - Face-to-face
- Production (written work, report, essay, collection, product, etc.) - To be submitted online
|
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|
I-MARO-016 | Same as Term 1. |
(*) 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