Module Descriptors
FURTHER ARTIFICIAL INTELLIGENCE
COSE60268
Key Facts
Faculty of Computing, Engineering and Sciences
Level 6
15 credits
Contact
Leader: Bernadette Sharp
Email: B.Sharp@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- ASSIGNMENT weighted at 50%
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Learning Strategies
Two lectures per week.
One tutorial per week.
(1:n)2 (1:20)1
One tutorial per week.
(1:n)2 (1:20)1
Module Indicative Content
Search, Autonomous Robotics(Navigation, Planning), Machine Learning, Neural Networks, Syntactical Pattern Recognition, Symbolic Manipulation with Neural Networks, Weightless Neural Networks.
Module Additional Assessment Details
50% Assignment (learning outcomes 2, 3)
50% Examination length 2 hours (learning outcomes 1, 3)
50% Examination length 2 hours (learning outcomes 1, 3)
Module Texts
T. Mitchell, Machine Learning, MacGraw Hill, 1997, ISBN: 0071154671
R. Schalkov, Pattern Recognition: Statistical, Structural, and Neural Approaches, Wiley, 1992, ISBN: 0471529745
D. Tveter, The Pattern Recognition basis of Artificial Intelligence, IEEE Computer Society Press, 1998, ISBN: 0818677961
R. Schalkov, Pattern Recognition: Statistical, Structural, and Neural Approaches, Wiley, 1992, ISBN: 0471529745
D. Tveter, The Pattern Recognition basis of Artificial Intelligence, IEEE Computer Society Press, 1998, ISBN: 0818677961
Module Special Admissions Requirements
Prior study of AI Methods (CE00341-2) or equivalent.
Module Resources
C/C++, JAVA