16 July 2022
on course website
Operations Research: A Mathematical Way to Optimize Your World
This course will introduce you to the most successful models and algorithms from operations research, such as linear optimization, combinatorial optimization, network optimization, dynamic optimization, Markov chains, queueing, simulation, and reinforced learning. Not only will you learn some of the beautiful but basic mathematics behind them, but also during computer practicals you will gain hands-on experience with up-to-date software applied to practical cases in such domains as logistics, revenue management, and financial engineering. The course will enable you to recognize and exploit opportunities for mathematically supported decision-making and can help prepare you for an MSc in Operations Research.
Dr A. A. N. Ridder
The course is suitable for students and professionals in fields such as Engineering, Computer Science, Physics, Mathematics, Quantitative Business Studies, who wish to learn modelling and optimization for operational problems and for business processes.
By the end of this course, you will:
- have an overview of the field of Operations Research;
- be able to model a practical optimization problem into an appropriate mathematical formulation;
- be able to solve the mathematical model using advanced optimization software;
- have learnt how to work in teams on a quantitative oriented and how to present the results.
Contact Hours: 45
EUR 950: Application fee €15. This amount is non-refundable.
Tuition fees two-week course:
VU Students/PhD candidates and employees of VU Amsterdam* or an Aurora Network Partner €650
Students at Partner Universities of VU Amsterdam €900
Students and PhD candidates at non-partner universities of VU Amsterdam €950*
Early Bird offer
Applications received before 15 March (CET 23:59) receive €50 Early Bird discount!
VU Amsterdam Summer School offers two kinds of scholarships: the Academic Scholarship and the Photographer Scholarship. More information can be found on the VU Amsterdam Summer School website.Register for this course
on course website