Course Details in 2018/19 Session

Module Title	LM MSc Introduction to Artificial Intelligence
School	Computer Science
Department	Computer Science
Module Code	06 30376
Module Lead	Kashif Rajpoot
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Exclusions
Description	This module provides a general introduction to artificial intelligence, its techniques, and main subfields. The principal focus of the module will be on the common underlying principles, such as knowledge representation, search, and learning. The aims of this module are to: a) provide a general introduction to artificial intelligence, its techniques and its main subfields. b) give an overview of key underlying ideas, such as knowledge representation, reasoning, search, and learning. c) demonstrate the need for different approaches for different problems and their limitations.
Learning Outcomes	By the end of the module students should be able to: Discuss the major issues and techniques in a variety of sub-fields of AI, such as vision, robotics, natural language processing, planning, probabilistic reasoning, and machine learning Compare common AI techniques, describing their strengths and weaknesses Apply a variety of standard AI techniques to simple examples Understand applications of AI to real world situations and possible problems and limitations.
Assessment	30376-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (70%) 30376-02 : Continuous Assessment : Coursework (30%)
Assessment Methods & Exceptions	Assessment: 1.5 hr Examination (70%); Continuous Assessment (30%) Reassessment: 1.5 hr Examination (100%)
Other	Duplicate of Birmingham-based module 27112
Reading List