Module 20234 (2010)

Module Description - Planning (Extended)

The Module Description is a strict subset of the Syllabus Page, which gives more information

Module TitlePlanning (Extended)
SchoolComputer Science
Module Code06-20234
DescriptorCOMP/06-20234/LM
Member of StaffRichard Dearden
LevelM
Credits10
Semester2
Pre-requisitesSome knowledge of AI is assumed.
Co-requisitesNone
RestrictionsMay not be taken by anyone who has taken or is taking 06-02562 (Planning).
Contact hours24
Delivery2 hrs/week lectures, discussion classes
Description
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
explain the main approaches to planning, both 'classical' and recent developments Examination
understand and discuss the advantages and limitations of these approaches Examination
demonstrate understanding of current techniques in the field of planning Examination
survey research papers and discuss relevant developments in the field and suitable approaches to solving a given problem Continuous Assessment
AssessmentSessional: 1.5 hr examination (80%), continuous assessment (20%).
Supplementary (where allowed): By examination only.
TextsGhallab M, Nau D & Traverso P, Automated Planning: Theory and Practice, 2004
Russell S & Norvig P, Artificial Intelligence: A Modern Approach (Second Edition), 2003
Nilsson NJ, Artificial Intelligence: A New Synthesis, 1998