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Summer School - Operations Research: A Mathematical Way to Optimize Your World, 2022, Vrije Universiteit Amsterdam, Netherlands

Publish Date: Mar 27, 2022

Deadline: May 01, 2022

Event Dates: from Jul 02, 2022 12:00 to Jul 16, 2022 12:00

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.

Course leader
Dr A. A. N. Ridder

Target group
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.

Course aim
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.

Credits info: 3 EC

Contact Hours: 45

Fee info
EUR 950: 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*
Professionals €1150

For further information, please click the "LINK TO ORIGINAL" button below.

Further Official Information

Link to Original

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