School of Computer Science

Module 30173 (2019)

Module description - Artificial Intelligence

The Module Description is a strict subset of the Syllabus Page.

Module Title Artificial Intelligence
School School of Computer Science
Module Code 06-30173
Level 1/C
Member of Staff Harish Tayyar Madabushi Phillip Smith
Semester Semester 2 - 20 credits
Pre-requisites
  • 06-30181 - Mathematical Foundations of Computer Science
Co-requisites
  • 06-30175 - Data Structures & Algorithms
Delivery

Lectures, Labs and Exercise Classes

Contact hours: 44

Description

Artificial Intelligence is the area of Computer Science which studies algorithms capable of problem solving and learning, particularly where the problems are challenging due to scale or uncertainty, and the algorithms are part of intelligent agents. In recent years AI systems have become increasingly prominent in society and industry, from world-beating Go programs to self-driving cars. This module will introduce fundamental concepts from Artificial Intelligence (AI) and provide experience applying these concepts to solve practical problems. The module will introduce knowledge representation, reasoning, search, and learning. It will cover algorithms that use both logical and probabilistic approaches.

Outcomes

On successful completion of this module, the student should be able to:

  • Describe and analyse the techniques and their properties in a variety of subfields of AI
  • Compare common AI techniques, describing their strengths and weaknesses
  • Apply a variety of standard AI techniques by hand to simple examples
  • Develop, or work with, implementations of algorithms for AI problems
  • Apply AI approaches to solve real-world problems
Assessment

Assessments: 2hr Examination (50%), Continuous Assessment (50%) Reassessment: 2hr Examination (100%)