Programme And Module Handbook
 
Course Details in 2019/20 Session


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Module Title LC Artificial Intelligence
SchoolComputer Science
Department Computer Science
Module Code 06 30396
Module Lead TBC
Level Certificate Level
Credits 20
Semester Semester 2
Pre-requisites LC Programming in Java - (06 30392)
Co-requisites
Restrictions None
Contact Hours Lecture-33 hours
Practical Classes and workshops-11 hours
Supervised time in studio/workshop-44 hours
Guided independent study-112 hours
Total: 200 hours
Exclusions
Description Artificial Intelligence is the area of Computer Science which studies algorithms capable of problem solving and learning, particularly where the problems are challenging due to scale or uncertainty, and the algorithms are part of intelligent agents. In recent years AI systems have become increasingly prominent in society and industry, from world-beating Go programs to self-driving cars. This module will introduce fundamental concepts from Artificial Intelligence (AI) and provide experience applying these concepts to solve practical problems. The module will introduce knowledge representation, reasoning, search, and learning. It will cover algorithms that use both logical and probabilistic approaches.
Learning Outcomes By the end of the module students should be able to:
  • Describe and analyse the techniques and their properties in a variety of subfields of AI
  • Compare common AI techniques, describing their strengths and weaknesses
  • Apply a variety of standard AI techniques by hand to simple examples
  • Develop, or work with, implementations of algorithms for AI problems
  • Apply AI approaches to solve real-world problems
Assessment 30396-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (50%)
30396-02 : Continuous Assessment : Coursework (50%)
Assessment Methods & Exceptions Assessment:
2hr Examination (50%),
Continuous Assessment (50%)

Reassessment:
2hr Examination (100%)
Other Duplicate of Birmingham-based module 30173
Reading List