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Unit information: Uncertainty Modelling for Intelligent Systems (CDT) in 2021/22

Unit name Uncertainty Modelling for Intelligent Systems (CDT)
Unit code EMATM0060
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Lawry
Open unit status Not open




School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description including Unit Aims

This unit will explore the techniques and methodologies developed within Artificial Intelligence to represent and reason with information which is uncertain, imprecise or fuzzy. The unit will provide an overview of a range of different approaches explaining both the mathematics and the underlying philosophy and investigating practical applications.


  • To provide students with an overview of uncertainty modelling techniques and formalisms
  • To provide students with an in-depth study of the mathematics and philosophy underlying these techniques
  • To provide a detailed analysis of the application of uncertainty modelling in intelligent systems.

Intended Learning Outcomes

  1. Students will be able to explain a range of different approaches that are available in uncertainty modelling, and identify under what conditions they can be appropriately applied.
  2. Students will be able to use the advanced mathematics underlying different approaches to uncertainty modelling to explain the assumption underpinning them and to identify the relationships between them.
  3. Students will be able to apply different approaches to uncertainty modelling to reasoning and knowledge representation problems.

Teaching Information

Teaching will be delivered through a series of mostly synchronous sessions, including lectures, seminars, practical activities, discussion groups and self-directed exercises.

Assessment Information

1 Summative Assessment, 100% - Coursework. This will assess all ILOs.


If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMATM0060).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.