School of Computer Science

Module 06-30173 (2018)

Artificial Intelligence

Level 1/C

Jeremy Wyatt Semester 2 20 credits
Co-ordinator: Jeremy Wyatt
Reviewer: Kara Crozier

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

Outline

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.


Aims

The aims of this module are to:


Learning 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

Restrictions


Pre-requisites

  • 06-30183 - Programming in Java
  • 06-30181 - Mathematical Foundations of Computer Science

Co-requisites

  • 06-30175 - Data Structures & Algorithms

Teaching methods

Lectures, Labs and Exercise Classes

Contact hours: 44


Assessment

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


Detailed Syllabus


Programmes containing this module