Module Descriptor School of Computer Science and Statistics
|Module Name||Artificial Intelligence|
|Module Short Title|
2 Lecture hours per week
|Module Personnel||Dr. Annalina Caputo|
On successful completion of this module a student should be able to:
This module aims to provide students with a thorough overview of the techniques that underlie intelligent systems and an ability to apply these techniques to real-world problems.
Specific topics addressed in this module include:
|Recommended Reading List|
Stuart Russell and Peter Norvig (2010) Artificial Intelligence: A Modern Approach, Third Edition. Upper Saddle River (NJ): Prentice Hall.
CS7CS4 or CS4404 Machine Learning
Assessment is by written exam (50%) and coursework (50%).
Assessment in the Supplemental session will be based on 100% exam.
Assignments will provide practical experience, in both theory and programming.
|Academic Year of Data||2017/18|