This course aims to further develop students' abilities to apply optimization theory and methods for the solutions of mathematical optimization models. The course will cover linear optimization, unconstrained optimization, constrained optimization, integer optimization, and stochastic optimization. Students will learn how to formulate problems as mathematical optimization models and to solve the models with optimization theory and methods.

Examination

Students will be assessed via the examination their understanding of concepts and mastering in skills of modelling and problems solving learned in class, textbooks and reading materials and their ability to apply subject-related knowledge.