Undergraduate Programme and Module Handbook 2010-2011 (archived)
Module COMP3311: ADVANCED ARTIFICIAL INTELLIGENCE (20 CREDITS)
Department: Computer Science
COMP3311:
ADVANCED ARTIFICIAL INTELLIGENCE (20 CREDITS)
| Type |
Open |
Level |
3 |
Credits |
20 |
Availability |
Available in 2010/11 |
Module Cap |
None. |
Location |
Durham
|
Prerequisites
- Software Applications (COMP2071).
Corequisites
Excluded Combination of Modules
Aims
- To give students a familiarisation with an understanding of a range of subjects within the broad context of Artificial Intelligence
Content
- Design of intelligent agents.
- Framework for programming agents.
- Multi-agent interactions.
- Cooperation and other interactions.
- Introduction to automated reasoning.
- The logical bases of reasoning methods.
- Automated and interactive reasoning.
- Systems and applications of mechanised reasoning.
Learning Outcomes
- By the end of the modules students will: Understand how Artificial Intelligence methods impact on the different problem areas in two topic areas.
- Have knowledge of different paradigms and techniques relevant to each of the two topics.
- Understand how Artificial Intelligence is relevant to new technology and technological developments in each of the two topics.
- Demonstrate, for each of the two topics, that they have conducted research and self-study to further their knowledge beyond the taught materials.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lecturing demonstrates what is required to be learned and the applications of the theory to practical examples.
- Homework problems identify areas where further independent research should be conducted.
- Summative examinations test the knowledge acquired and the students' ability to use this knowledge to solve complex problems.
Teaching Methods and Learning Hours
| Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
| Lectures |
40 |
2 per week |
1 hour |
40 |
|
| Reading and Preparation |
|
|
|
160 |
|
| Total |
|
|
|
200 |
|
Summative Assessment
| Component: Coursework |
Component Weighting: 30% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Practical work |
|
100% |
No |
| Component: Examination |
Component Weighting: 70% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Examination |
1.5 hours |
100% |
No |
Example exercises given through the course. Additional revison lectures may be arranged in the modules lecture slots in the 3rd term.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University
