G64FAI Foundations of Artificial Intelligence
(Last Updated:08 August 2014)
Total Credits: 10
Level: Level 4
Target Students: MSc or Diploma in IT or MSc in the Management of IT
|Spring ||Assessed by end of Spring Semester |
Prerequisites: Must be registered for appropriate Masters or Diploma course
Summary of Content: This course gives a broad overview of the fundamental theories and techniques of Artificial Intelligence. Topics covered include problem-solving and search, knowledge representation and reasoning, and machine learning.
Module Web Links:
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture ||12 weeks||2 per week||1 hour |
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Method of Assessment:
|Exam 1 ||100 ||2 hour written examination |
Dr B Logan
Education Aims: To give students a firm grounding in the fundamental theories and techniques of Artificial Intelligence.
Knowledge and Understanding
A1 The practice of programming;
A2 The strengths and weaknesses of computer tools, applications and other resources;
A3 The importance of algorithms and formal methodologies;
A5 Structuring of data and information within computing systems;
B1 Apply and deploy mathematical ability, practices and tools;
B3 think independently while giving due weight to the arguments of others;
B4 understand complex ideas and relate them to specific problems or questions;
B5 acquire, and analyse systematically and effectively, substantial quantities of information.
C3 Justify conclusions using mathematical arguments with appropriate rigour
C3 Evaluate available tools, applications, algorithms and data structures, and select those that are fit for purpose within a given domain/scenario;
C5 Recognise professional, ethical and legal issues involved in the exploitation of Information Technology.
D1 Analyse and solve complex problems;
D2 Utilise mathematics;
D7 Retrieve information from appropriate sources (e.g. learning resource centre, internet etc);
Offering School: Computer Science
Use the Back facility of your browser to return to the previous page.
Search for another module
Return to The University of Nottingham Welcome Page