Intelligent Systems Techniques (802G5)

15 credits, Level 7 (Masters)

Spring teaching

This module will introduce you to the range of knowledge representation techniques used in contemporary Artificial Intelligence, and give you an understanding of their various strengths and weaknesses.

Teaching

69%: Lecture
31%: Practical (Laboratory)

Assessment

50%: Coursework (Project)
50%: Examination (Unseen examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.