Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
- Understand how several important problems arising from diverse fields can be cast and solved as optimisation problems;
- Know the main techniques for solving optimisation problems and how to apply them in practice;
- Know how to use optimisation software for implementing and solving optimisation problems.
Schedule: 01.03.2021 - 12.04.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Fabricio Pinheiro de Oliveira
Teacher in charge (applies in this implementation): Fabricio Pinheiro de Oliveira
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
In this course, the student will learn the basic optimisation theory, how to formulate problems and how they can be solved. Linear, integer, and nonlinear optimisation will be covered in the course. At the end of this course, it is expected that the student will be capable of analysing the main characteristics of an optimisation problem and decide what is the most suitable method to be employed for its solution.
Assessment Methods and Criteria
Contact hours: 48h (12 x 2h lectures and 12 x 2h exercises). Attendance is not compulsory.
Self study: 83h (5 home exercises - 4h each; remainder for revising content of lectures and exercise sessions and for preparing for the exam)
Main material: Lecture notes and slides.
Supplementary bibliography: H. A. Taha: Operations Research, An Introduction , Prentice-Hall International
Substitutes for Courses
Mat-2.2105 Introduction to Optimization
MS-A00XX Matrix Algebra, MS-A01XX Differential and integral calculus 1, and MS-A01XX Differential and integral calculus 2.
- Teacher: Fabricio Oliveira