After successful completion of the course, students are able to implement and evaluate strategy games with full information. They understand the fundamental approaches of depth search and Monte Carlo tree simulation and are able to choose and implement efficient heurstics for these approaches. In the winter term 2021 we will for the first time touch games with partial information and/or chance as well.
IMPORTANT! Since the Corona pandemic the lecture was replaced by a set of videos + a summary written by the students.All details can be found in the TUWEL forum.
Central topics of the course are modeling and evaluation of strategies in games with defined rules and under full information. The desired understanding is developed interactively in the lecture part and consolidated by a realistic exercise in the practical part of the course.
Pedagogic concept
ECTS Breakdown
Description ECTS Hours---------------------------------------------Preparation 0.04 1.0Lecture 0.32 8.0Preparation of the Group Project 0.04 1.0Group Project Work 2.60 65.0---------------------------------------------Total 3.00 75.0
Students are graded based on their performance in the practical part of the course as well as on their participation in the lecture part.
Please do the assessment test in the e-learning course!