 | Study programme 2021-2022 | Français | |
| Topics in Convex Optimization | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MARO-232 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Anglais | Anglais | 8 | 16 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
The main subject of this course is to cover some techniques of convex optimization, a field that has undergone considerable development over the last three decades. This course is based on I-MARO-035 (Linear Optimization) and I-MARO-036 (Nonlinear Optimization). The heart of this course is conic optimization and more specifically semidefinite optimization that allows the modelisation of many problems in applied science.
The students must be able to undertsand the theoretical concepts behind these methods and to implement and use them on real-world problems.
Attendance at theory/exercises classes of at least 80% is required.
The teaching methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Travaux de laboratoire
- Projet sur ordinateur
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)