Objectives of Programme's Learning Outcomes

• 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.
• 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.
• Argue to and persuade customers, teachers and boards, both orally and in writing.
• Contribute by researching the innovative solution of a problem in engineering sciences.
• Construct a theoretical or conceptual reference framework, formulate innovative solutions from the analysis of scientific literature, particularly in new or emerging disciplines.
• Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
• Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Learning Outcomes of UE

- Convex optimization (conic programming, semidefinite programming and sum of squares hierarchies) - Combinatorial and integer programming (valid inequalities, cutting plane algorithms, integral polyhedra, matroid optimization) - Approximation algorithms (set cover, bin packing, ...) - Multi-objective optimization

Content of UE

- Convex optimization (conic programming, semidefinite programming and sum of squares hierarchies) - Combinatorial and integer programming (valid inequalities, cutting plane algorithms, integral polyhedra, matroid optimization) - Approximation algorithms (set cover, bin packing, ...) - Multi-objective optimization

Prior Experience

Good notions of optimization

Type of Assessment for UE in Q1

• Presentation and/or works

Q1 UE Assessment Comments

Oral presentation of a requested work related to the four parts of the course

Type of Assessment for UE in Q3

• Presentation and/or works

Q3 UE Assessment Comments

Oral presentation of a requested work related to the four parts of the course

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable