Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Computer Programming, Information Sciences
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
This course gives an overview over the theory and practice of Intelligent Systems, systems that perceive, reason, learn, and act intelligently. Students will acquire practical skills in developing intelligent systems building on a thorough understanding of well-understood Artificial Intelligence approaches, including Knowledge Representation and Machine Learning.
The course will provide an in-depth understanding of classical AI problems and approaches, such as search, knowledge representation, machine learning, etc., by deepening the theoretical understanding and ability to apply those techniques in practice.
The course will be centered on the practical task of designing intelligent agents that perform in a challenging competition against other agents.
There will be 12 lectures in the first 3 weeks, as well as a number of practical sessions in a lab, working groups to help with the course material and a significant amount of self-study, both to familiarise oneself with the AI theory and methods, and to program an Intelligent System using those methods.
TYPE OF ASSESSMENT
There will be an exam (probably digital) and a groups assignment.
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.