Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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US-M2-INFOFS-008-M | Optional UE | GILLIS Nicolas | F151 - Mathématique et Recherche opérationnelle | - GILLIS Nicolas
- TUYTTENS Daniel
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Français | 12 | 48 | 0 | 0 | 0 | 5 | 5 | 1st term |
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.
- Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
- Demonstrate independence and their ability to work alone or in teams.
- Manage research, development and innovation.
- Understand unprecedented problems in computer science and its applications.
- Organise and lead a research, development or innovation project to completion.
- Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
- Master communication techniques.
- Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
- Adapt their communication to a variety of audiences.
- Where possible, communicate in a foreign language.
- Develop and integrate a high degree of autonomy.
- Aquire new knowledge independently.
- Pursue further training and develop new skills independently.
- Develop and integrate a high degree of autonomy to evolve in new contexts.
- 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.
- Skill 2: Have acquired professional skills in relation to the objective defining the degree.
- Integrate into a professional environment and collaborate with stakeholders on a project.
- 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.
- Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
- Demonstrate independence and their ability to work alone or in teams.
- Manage research, development and innovation.
- Understand unprecedented problems in computer science and its applications.
- Organise and lead a research, development or innovation project to completion.
- Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
- Master communication techniques.
- Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
- Master the techniques of written and oral scientific communication in both French and English.
- Develop and integrate a high degree of autonomy.
- Aquire new knowledge independently.
- Pursue further training and develop new skills independently.
- Develop and integrate a high degree of autonomy to evolve in new contexts.
Learning Outcomes of UE
- Team work
- Investigate and develop new operational reasearch methods for an industrial problem
- Oral and written presentations
- Contact with a client
Content of UE
This class aims at introducing the students to a real-world industrial project related to operational research.
Prior Experience
- Optimization- Graphs and Combinatorial Optimization
Type of Assessment for UE in Q1
- Presentation and/or works
Q1 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q3
- Presentation and/or works
Q3 UE Assessment Comments
Not applicable
Type of Resit Assessment for UE in Q1 (BAB1)
- Presentation and/or works
Q1 UE Resit Assessment Comments (BAB1)
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-MARO-017 | - Cours magistraux
- Conférences
- Ateliers et projets encadrés au sein de l'établissement
|
Mode of delivery
AA | Mode of delivery |
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I-MARO-017 | |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|
I-MARO-017 | Not applicable
|
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|
I-MARO-017 | Not applicable
|
Other Recommended Reading
AA | Other Recommended Reading |
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I-MARO-017 | Not applicable
|
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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I-MARO-017 | Authorized |
(*) 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