Module Descriptor School of Computer Science and Statistics
Module Code | CS3061 |
Module Name | Artificial Intelligence I |
Module Short Title | A I |
ECTS | 5 |
Semester Taught | Semester 2 (Hilary) |
Contact Hours | 33 (22 lecture, 11 tutorial) |
Module Personnel | Tim Fernando |
Learning Outcomes | After successfully completing this module, students should be able to:
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Learning Aims | An introduction to Artificial Intelligence covering basic topics search and knowledge representation |
Module Content | Search, constraint satisfaction, knowledge representation, abduction, meta-interpretation |
Recommended Reading List | Russell and Norvig, Artificial Intelligence: A Modern Approach |
Module Prerequisites | CS3011 |
Assessment Details | Written exam (90%) and continuous assessement consisting of lab work and problem sets (10%) |
Module Website | |
Academic Year of Data | 2016-17 |