Catalogue of Modules, University of Nottingham

G52PAS Planning and Search
(Last Updated:03 May 2017)

Year  13/14

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.

Taught Semesters:

SemesterAssessment
Autumn Assessed by end of Autumn Semester 

Prerequisites: 

MnemTitle
G51IAI Introduction to Artificial Intelligence 

Corequisites:  None.

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:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Lecture 11 weeks2 per week1 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: 

Assessment TypeWeightRequirements
Exam 1 100 2 hr written examination 

Convenor: 
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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