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Unit information: Intelligent Information Systems in 2021/22

Unit name Intelligent Information Systems
Unit code EMATM0042
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Professor. Liu
Open unit status Not open

EMAT31530, EMATM1120 or EMAT30015



School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description including Unit Aims

This unit will introduce AI techniques for knowledge representation, information processing, fusion and decision making. It will adopt and application centred approach aimed at giving students experience at designing information systems. It also aims to provide students with a background in the following key areas:

  • Knowledge Representation, including a brief overview of first order logic, probabilistic logic, semantic networks, and event reasoning under uncertainty (event representation, event correlation and event reasoning).
  • Agent-based models for developing intelligent autonomous systems such as Belief–desire–intention models, or Markov Decision Process (MDPs).
  • Handling inconsistency in knowledge
  • Information fusion under uncertainty approaches and their comparisons, and applications
  • Real-world application scenarios: covering how to scope a problem/scenario, how to elicit domain knowledge, how to identify data items, how to develop a data-driven intelligent system given a specific real-world problem.

Intended Learning Outcomes

  1. Demonstrate an understanding of modern information modelling frameworks, information sources and related applications.
  2. Be able to apply simple core knowledge representation, reasoning and decision making principles.
  3. Be able to explain the importance of information processing in real-world applications.
  4. Demonstrate an understanding of core design requirements for intelligent information systems, including multi-agent systems.

Teaching Information

Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, supported by live online sessions, problem sheets and self-directed exercises.

Assessment Information

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


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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.