COMP219: Advanced Artificial Intelligence

Staff

Office Time

Every week, I will try to arrange a one-hour office time, but won't be a fixed time. So the following timeslot will be subject to change. However, please send an email to me to ensure my availability before coming.

Aims

Learning Outcomes

Lectures

There will be 26-30 lectures. The lecture notes will appear here one week ahead of the lectures.

Tutorials:

Please follow the "Python Machine Learning" book to get hand-on experience. Please check VITAL for the learning materials. Every week, I will nominate a chapter or a section of the book as a tutorial for you to follow on. For the installation of tensorflow or other software package, it is recommended that you do this through virtual envionrments, which may be able to go around the user priviledge. See https://www.tensorflow.org/install/pip#2-create-a-virtual-environment-recommended

Also, if needed, please install Jupyter Notebook. Please read its document to understand what it is.

Assignments:

There will be two project assignments, which will be disclosed in due course. Each coursework assignment takes 10% of the final mark.

TextBooks:

For general game design and implementation, the following books are recommended: