This module will introduce the foundational concepts in artificial intelligence and knowledge-based systems.
This module is only available to students in the second year of their degree and is not available as an unusual option to students in other years of study.
This module will introduce the foundational concepts in artificial intelligence and knowledge-based systems. Specifically, it will provide a broad coverage of search, planning, adversarial search (games), constraint satisfaction problem solving, reinforcement learning, rational and logical agency, knowledge representation techniques, and Bayesian approaches to artificial intelligence.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
By the end of the module, students should be able to:
Please see Talis Aspire link for most up to date list.
develop an appreciation for Knowledge Based Systems, Intelligent Agents and their architectures,
understand a wide variety of knowledge representation and artificial intelligence approaches to planning,
understand various methods for search (uninformed and informed), planning and reinforcement learning, and
understand various methods for representing and reasoning under uncertainty.
Communication skills (written)
|Lectures||30 sessions of 1 hour (20%)|
|Seminars||7 sessions of 1 hour (5%)|
|Private study||113 hours (75%)|
Required reading (as identified in lectures)
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
~Platforms - AEP
|CS255 resit exam||100%|
CS255 resit exam
~Platforms - AEP
Mark and written feedback returned via Tabula.
This module is Optional for:
This module is Option list A for:
This module is Option list B for:
This module is Option list C for: