Total Credits: 20
Level: Level 2
Target Students: Part I undergraduate students in the School of Computer Science. Also available to students from other Schools with the agreement of the module convenor.This module is part of the AI, Modelling and Optimisation theme in the School of Computer Science. Available to JYA/Erasmus students.
|Full Year||Assessed by end of Spring Semester|
Prerequisites: G51IAI Introduction to Artificial Intelligence (up to 2014-15)
Summary of Content: You’ll be introduced to Artificial Intelligence (AI) algorithms and programming techniques for search and planning. Topics covered include: classical search; search with non-determinism and partial observability; local search; classical planning, reasoning about actions; planning under uncertainty; conditional planning; planning with time and resources; other typical AI problems and how to implement them in an AI programming language. You’ll spend around three hours per week in lectures and computer classes studying for this module.
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||23 weeks||2 per week||1 hour|
|Computing||23 weeks||1 per week||1 hour|
Method of Assessment:
|Exam 1||75||2 hr written examination|
|Coursework 1||25||Individual coursework|
Dr N Alechina
Dr B Logan
Education Aims: To allow students to understand and be able to implement AI search and planning algorithms and develop new analysis, design and programming skills appropriate to AI problems.
Learning Outcomes: Knowledge and Understanding: Understanding and experience of AI planning and search algorithms and AI programming techniques.Intellectual Skills: The ability to analyse algorithms. Enhanced program analysis and design skills. Professional Skills: The ability to evaluate AI algorithms and select those appropriate to a given situation and program them. Transferable Skills: The ability to solve problems. The ability to retrieve information from appropriate sources.
Offering School: Computer Science
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