Total Credits: 10
Level: Level 1
Target Students: : Qualifying year undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor. Available to JYA/Erasmus students.
This Module has been identified as being particularly suitable for first year students, including those from other Schools.
|Spring||Assessed by end of Spring Semester|
Summary of Content:
This module is part of the Intelligent Systems theme in the School of Computer Science.
This module aims to give a broad overview of the fundamental theories and techniques of Artificial Intelligence. It explores how computer programs can produce intelligent behaviour, and provides students with the knowledge and skills necessary to implement basic AI techniques. Topics covered include: history of AI, philosophical and ethical issues, problem-solving and search, uninformed and heuristic search, two-player games, knowledge representation and reasoning, resolution theorem proving 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||1 per week||2 hours|
Method of Assessment:
|Exam 1||100||2 hr written examination|
Dr R Qu
Education Aims: To introduce students to Artificial Intelligence, its history and some key AI techniques.
Learning Outcomes: Knowledge and Understanding: Knowledge of key AI techniques. Intellectual Skills: The ability to think independently while giving due weight to the arguments of others. The ability to analyse algorithms. Professional Skills: The ability to evaluate available AI techniques and select those appropriate to a given problem. Transferable Skills: The ability to solve problems and communicate effectively in writing.
Offering School: Computer Science
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