Master Project AI

2018-2019

Course Objective

The Master programme in Artificial Intelligence is a scientific
programme that aims to provide the student with the knowledge,
experience and insights needed to autonomously carry out his/her
professional duties. The programme is designed to prepare the student
for further education as scientific researcher (Ph. D. studies) as well
as to offer a solid basis for a career in business at an academic level.
Moreover, the programme aims at educating the student as to acquire a
practical understanding of the position of the field of
Artificial Intelligence within a broad scientific, philosophic and
social context.

Course Content

Each Master AI programme is finished with a master project AI. This can
be an individual project as well as a group project. Information about
projects (incl. internships) can be found on the Internet pages of the
AI divisions. Internships proposed by the student him/herself need
approval in advance from a member of staff, who will also be involved
with supervising the project.

The size of the graduation projects is as such that with adequate
foreknowledge and complete study, the project can be finished within 6
months.
The student participates in the KIM (Kunstmatige Intelligentie Middag).
See canvas.

Teaching Methods

The Master Project must always be supervised by a staff member, in the
case of an internship in cooperation with a supervisor in the company.
Internships proposed by the student him/herself need approval in advance
from a member of staff, who will cooperate with supervising the project.

Method of Assessment

The final grade will be based on the quality of the research, the
written thesis, the KIM presentations and the participation in the KIM.

Target Audience

mAI

Additional Information

For all rules, assessment criteria, contact persons, and many practical
tips for your master project, see the Master project pages on canvas
(inclusive the "Manual for the Master Project AI") and
http://wiki.cs.vu.nl/mp

General Information

Course Code X_400285
Credits 30 EC
Period Ac. Year (sept)
Course Level 600
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. M. Hoogendoorn
Examiner
Teaching Staff dr. A.C.M. ten Teije

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

This course is also available as: