This is the official course page for Methods in AI research (MAIR). This page also accommodates the MAIR schedule. MAIR is an introductory course, and is meant to level out on the necessary prerequisites for the AI master at Utrecht University.
AI is a field that is rooted in many disciplines. To pass the master, you will need to understand the values and basic principles of at least some of these disciplines. In this course, lecturers from three faculties (science, philosophy and psychology) will introduce you to three important disciplines in AI, viz. agents, reasoning, and cognitive processing. These three disciplines also form the tracks of the Utrecht AI master. Due to the highly multi-disciplinary character of AI, it may be difficult to relate the three track introductions. To remedy this, you will also work on an interdisciplinary project. This project is executed in teams and coordinated by staff from the cognitive processing and reasoning track.
The course goals are to achieve knowledge and skills with respect to the following topics.
Attendance is recommended but not obliged. Past experience has learned that student attendance and effort (e.g., completing assignments, reading papers) highly correlates with the success in passing the course. Attendance lists may be distributed during classes to have an up-to-date inventory of who attends.
|Exam form||Weight of final grade|
|Agents track||written exam||5/15|
|Reasoning track||written exam and homework||3/15|
|Cognitive Processing track||written exam||3/15|
|Project||report and final product||4/15|
You will pass the course if all course components are completed and graded, and if the final raw average is at least 5.5. You can take part in a resit if you missed an exam for urgent reasons or if you had a grade lower than 5.5 on that specific exam. For written exams, one resit opportunity per track is available. For the project a special resit opportunity arrangement exists, see the project manual on blackboard.
If you have special requirements due to a physical or mental disability, contact the study advisor of AI, Corine de Gee, as soon as possible. MAIR has mid-term exams so we need to be informed about possible handicaps right away. As soon as your application is granted you should inform all coordinators timely by e-mail, at least three weeks before the first exam (scheduled mid course), with Corine de Gee in the CC. Lecturers don't need to know why you have a special requirement, but do need to know what extra conditions are granted by the study advisor. We will do our best to accommodate.
The regulations and considerations of what constitutes fraud and plagiarism are defined in the Graduate School of Natural Sciences Master’s Degree Programme Education and Examination Regulations (OER). Detection of a violation may lead to being excluded from examination and even being removed from the master’s program.
|Overall course and agents track||Projects and cognitive processing track||Reasoning track|
Dr. Gerard Vreeswijk
Dept. of computer science
Dr. Chris Janssen
Dept. of experimental psychology
Dr. Rosalie Iemhoff
Dept. of theoretical philosophy
Contact the track coordinator if you have a question about a specific track. Otherwise, contact the course coordinator. We prefer to answer questions in class or during breakes rather than by mail. Thanks.
Outside MAIR, the AI master programme track coordinators are Dr. Mehdi Dastani and Dr. Frank Dignum (Agents); Dr. Rick Nouwen and Dr. Rosalie Iemhoff (Reasoning); Dr. Chris Janssen (Cognitive Processing).