Back to List
Lecturer
Georgios N. Yannakakis,
Content and organization
The study-unit on game technology focuses on understanding, designing, implementing, and utilizing AI techniques for enhancing intelligent behaviors in games. Core areas covered include the history of game AI, pathfinding methods like A* and navigation meshes, Expert Domain-Knowledge Systems such as Finite State Machines and Behavior Trees, basic and advanced search strategies, and computational intelligence topics like Neural Networks and Genetic Algorithms. The unit’s objectives are to equip students with both theoretical knowledge and hands-on experience in applying these AI techniques to commercial games. By the end of the course, students will be able to identify and solve game production challenges using AI, develop intelligent game agents, and participate in international game AI competitions. Additionally, students will be competent in implementing, testing, and evaluating these AI techniques in a real gaming context.
Level
Postgraduate
Course Duration
12 Hours
Course Type
Semester Course
Participation terms
Free registration for both external (non-AIDA) and AIDA students. Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course by following by sending an email to matthew.barthet@um.edu.mt for your registration. AND Step (b): Enroll in the same course on the AIDA website using the ‘Enroll on this course’ button therein, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student do only step (a). *AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)
Lecture Plan
1 lecture (2 hours) + 1 lecture/tutorial/supervision (2 hours) per week.
Language
English
Modality (online/in person):
Asynchronous on-line participation
Notes
Online test for examination
