 | Study programme 2020-2021 | Français | |
 | Linear Optimisation | ||
Programme component of Master's in Mathematics à la Faculty of Science |
| Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3 |
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| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M1-SCMATH-026-M | Optional UE | GILLIS Nicolas | F151 - Mathématique et Recherche opérationnelle |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 14 | 14 | 0 | 0 | 0 | 4 | 4.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-035 | Linear Optimization | 14 | 14 | 0 | 0 | 0 | Q1 | 100.00% |
| Programme component |
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Objectives of Programme's Learning Outcomes
- Have integrated and elaborate mathematical knowledge.
- Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
- Use prior knowledge to independently learn high-level mathematics.
- Research mathematical literature in an efficient and relevant way.
- Read research articles in at least one discipline of mathematics.
- Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
- Mobilise knowledge, and research and analyse various information sources to propose innovative solutions targeted unprecedented issues.
- Appropriately make use of computer tools, as required by developing a small programme.
Learning Outcomes of UE
- Model an optimization problem- Choose a suitable method to solve an optimization problem- Develop and apply optimization methods
Content of UE
This class analyzes models and methods for linear optimization problems (continous and discrete).
Prior Experience
Not applicable
Type of Assessment for UE in Q1
- Presentation and/or works
- Written examination
Q1 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q3
- Presentation and/or works
- Written examination
Q3 UE Assessment Comments
Not applicable
Type of Resit Assessment for UE in Q1 (BAB1)
- Presentation and/or works
- Written examination
Q1 UE Resit Assessment Comments (BAB1)
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-035 |
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Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-035 |
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Required Reading
| AA | |
|---|---|
| I-MARO-035 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-035 | Linear algebra |
Recommended Reading
| AA | |
|---|---|
| I-MARO-035 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-035 | Slides |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-035 | 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-035 | Unauthorized |