1 August 2020
on course website
Operations Research: A Mathematical Way to Optimize Your World
Nowadays, everyone is talking about the tremendous opportunities offered by “big data” and all kinds of analytics. To really make the difference, though, you need to be able to turn data and analytical insights into better managerial decisions – and that requires rigorous quantitative tools.
This course delivers those tools, introducing you to the most successful models and algorithms from operations research (OR), including (integer) linear optimization, network optimization, stochastic optimization and heuristics. Not only do you learn some of the beautiful but basic mathematics behind them, but during computer practicals you gain hands-on experience with up-to-date software applied to practical cases in such domains as logistics and revenue management. 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.
Specific topics include:
• The world of optimization, considering both deterministic and stochastic problems (that is, with and without data uncertainty).
• Modelling optimization problems using powerful tools such as integer programming.
• Some insights into the theory that drives the effectiveness of these tools.
• The use of optimization software, such as Matlab, Python, and Gurobi.
• Algorithms for key problems in network optimization, such as finding the cheapest tour through a network.
• Understanding stochastic processes like Markov chains to model uncertainty in operational systems.
• Queueing models and queueing networks.
• Stochastic dynamic programming techniques to determine optimal decisions in operational problems.
• Stochastic computer simulation techniques, enabling you to model and analyse realistic problems in operational systems.
Dr A. A. N. Ridder, Dr D. A. van der Laan, Dr R. A. Sitters, Prof. L. Stougie
Students and professionals in the field of Engineering, Computer Science, Physics, Mathematics or Quantitative Business Studies. Our courses are multi-disciplinary and therefore are open to students and professionals with a wide variety of backgrounds.
At the end of this course, you:
•Can model a practical optimization problem into an appropriate mathematical formulation.
•Can solve the mathematical model using advanced optimization software.
•Have a knowledge of network optimization problems and the algorithms to solve them.
•Have a knowledge of optimization theory and integer linear programming techniques
•Can model uncertainty in operational systems as a stochastic process.
•Can simulate a stochastic process using simulation software.
Contact Hours: 45
Do you want to make the most out of your summer? You can combine this course with a course in session 1 to create a 4-week Summer School in Amsterdam.
EUR 1150: The tuition fee of a two-week course is €1150. This tuition fee includes:
- Airport pick-up service
- Course excursions
- Orientation programme and welcome
- On-site support and 24/7 emergency assistance
- A transcript of records and certificate of attendance after completing the course
- Meal vouchers to be spent at the university restaurant for either lunch or dinner
- A discounted access to our sport facilities
VU Amsterdam Summer School offers three kinds of scholarships: the Academic Scholarship, the Photographer Scholarship and the Vlogger/Videographer Scholarship. More information can be found on the VU Amsterdam Summer School website.Register for this course
on course website