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.

Continuous Assessment: 50%

Examination: 50%

For a student to pass the course, at least 30% of the maximum mark for the examination should be obtained.

Examination Duration: 2 hours