Course development

A larger change and restructuring of the Optimization courses offered by the math department is currently under development. But, these changes will not be fully implemented in this course until the course in spring 2027 (syllabus for 2026 is already set) . The goal is to make sure we maximize the benefits and learning outcomes for the students, and make sure the course material and topics covered are all relevant and up-to-date. For example, we want to ensure there is a suitable degree of overlap and repetition between the courses. We are, for example, investigating new course literature and restructuring topics between courses. This work is done by all the teachers of the optimization courses and assisted by a PhD student. Changes to the course in 2026. - Allocate an extra lecture to "Column Generation" and "Subgradient method for solving the Lagrangian dual". - Transition more towards GAMSPy for the project. Some students have already used GAMSPy successfully for the projects this year. The students are more used to working in Python, which gives greater flexibility. - Project 2 can be expanded slightly. The projects are of similar difficulty, but project 2 is perceived as easier by the students as they are then familiar with GAMS. - Try to hand out project 1 a week earlier to give more time in between project 1 and 2. - Introduce some new exercise questions for the last two exercise sessions.