Course Details in 2025/26 Session

Module Title	LI Artificial Intelligence and Machine Learning
School	Computer Science
Department	Computer Science
Module Code	06 34190
Module Lead	Leandro Minku
Level	Intermediate Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-44 hours Supervised time in studio/workshop-11 hours Guided independent study-145 hours Total: 200 hours
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 Understand applications of AI to real world situations and possible problems and limitations Apply artificial intelligence and machine learning techniques to solve problems
Assessment	34190-01 : Continuous Assessment : Coursework (20%) 34190-03 : Exam : Exam (Centrally Timetabled) - Written Unseen (80%)
Assessment Methods & Exceptions	Assessment: Examination (80%), Continuous Assessment (20%) Reassessment: Examination (100%)
Other
Reading List