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Module Title Introduction to AI
SchoolComputer Science
Department Computer Science
Module Code 06 23069
Module Lead
Level Certificate Level
Credits 10
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-23 hours
Seminar-0 hours
Tutorial-0 hours
Project supervision-0 hours
Demonstration-0 hours
Practical Classes and workshops-0 hours
Supervised time in studio/workshop-16 hours
Fieldwork-0 hours
External Visits-0 hours
Work based learning-0 hours
Guided independent study-0 hours
Placement-0 hours
Year Abroad-0 hours
Exclusions
Description This module provides a general introduction to artificial intelligence, its techniques, and main subfields. The principal focus of the module will be on the common underlying ideas, such as knowledge representation, rule based systems, search, and learning. It will provide a foundation for further study of specific areas of artificial intelligence.
Learning Outcomes By the end of the module the student should be able to:
  • Discuss the major issues and techniques in a variety of sub-fields of AI, such as vision, robotics, natural language processing, planning, probabilistic reasoning, and machine learning.
  • Compare common AI techniques, describing their strengths and limitations.
  • Apply a variety of standard AI techniques to simple examples.
Assessment 23069-04 : Examination : Exam (Centrally Timetabled) - Written Unseen (70%)
23069-05 : Continuous Assessment : Coursework (30%)
Assessment Methods & Exceptions Coursework (20%), 1.5 hr examination (80%)

Reassessment: 1.5 hour examination
Other None
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