Course Details in 2023/24 Session

Module Title	LM Artificial Intelligence and Machine Learning
School	Computer Science
Department	Computer Science
Module Code	06 34197
Module Lead	Kashif Rajpoot
Level	Masters Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Exclusions
Description	This module introduces the core concepts of artificial intelligence and machine learning. The principal focus of the module will be on the underlying principles such as knowledge representation, search, decision theory, probability, and statistical learning.
Learning Outcomes	By the end of the module students should be able to: Explain and discuss a range of problems and techniques in artificial intelligence and machine learning Compare artificial intelligence and machine learning techniques, describing their strengths and limitations Apply artificial intelligence and machine learning techniques to solve problems
Assessment	34197-02 : Continuous Assessment : Coursework (20%) 34197-05 : Exam : Exam (Centrally Timetabled) - Written Unseen (80%)
Assessment Methods & Exceptions	Assessment: Examination (80%) and Continuous Assessment (20%) Supplementary assessment: Examination (100%)
Other	Based on Edgbaston module 36404
Reading List