Total Credits: 10
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 Artificial Intelligence theme in the School of Computer Science. Available to JYA/Erasmus students.
|Autumn||Assessed by end of Autumn Semester|
|G51IAI||Introduction to Artificial Intelligence|
Summary of Content: You’ll be introduced to advanced Artificial Intelligence (AI) techniques for problem-solving, searching and planning. Topics covered include: local search; classical planning; reasoning about actions; planning under uncertainty; conditional planning; planning with time and resources. You’ll have two hours of lectures each week for this module.
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||11 weeks||2 per week||1 hour|
Method of Assessment:
|Exam 1||100||2 hr written examination|
Dr N Alechina
Education Aims: To allow students to understand and be able to implement AI search and planning techniques.
Learning Outcomes: Knowledge and Understanding: Understanding and experience of AI planning and search techniques. Intellectual Skills: The ability to analyse algorithms. Professional Skills: The ability to evaluate AI techniques and select those appropriate to a given situation. Transferable Skills: The ability to solve problems. The ability to retrieve information from appropriate sources.
Offering School: Computer Science
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