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Optimization and Artificial Intelligence - Period 2
Business & Economics Program
Amsterdam, Netherlands
Dates: 8/15/25 - 6/27/26
Optimization and Artificial Intelligence - Period 2
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: XB_0173
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Knowledge of probability at the level of “Statistical methods for data analysis” and “Optimization and artificial intelligence” is recommended.
DESCRIPTION
This course focuses on prescriptive analytics, specifically the optimization of mathematical models to support decision-making and artificial intelligence. Students will learn to use simulation and optimization techniques to solve decision problems and understand when these techniques are applicable, their alternatives, and the pros and cons associated with each approach. Topics include linear programming, integer programming, network flows, heuristic methods, and optimization in artificial intelligence (AI) applications. The course emphasizes the development of practical skills for solving optimization problems using software tools.