Non-Linear Optimization

		Study programme 2020-2021	Français
		Non-Linear Optimization
		Learning Activity

Code	Lecturer(s)	Associate Lecturer(s)	Subsitute Lecturer(s) et other(s)	Establishment
I-MARO-036	VANDAELE Arnaud			UMONS

Language of instruction	Language of assessment	HT(*)	HTPE(*)	HTPS(*)	HR(*)	HD(*)	Term
Français	Français	22	10	0	0	0	Q1

Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19)
Written exam (multiple choice, open questions) Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)

Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)

Written exam (multiple choice, open questions)
Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)

Content of Learning Activity

The objective of this course is to provide students with the basic tools to address and solve nonlinear optimization problems.
The course will be divided into two main parts: modelization and methods
The first part aims to teach students to determine the type of optimization problems (linear, quadratic, convex, etc.) and to characterize optimal solutions in the more general context of problems with equality and inequality constraints.
In the second part, the most widespread numerical methods will be introduced.

Attendance at theory/exercises classes of at least 80% is required. Participation at practical sessions and seminars is still mandatory.

The evaluation 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. Attendance at practical sessions and seminars is still mandatory.

Required Learning Resources/Tools

Not applicable

Recommended Learning Resources/Tools

Not applicable