Unit information: Intelligent Information Systems in 2022/23

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
Units you must take before you take this one (pre-requisite units)	EMAT31530, EMATM1120 or EMAT30015
Units you must take alongside this one (co-requisite units)	None
Units you may not take alongside this one
School/department	School of Engineering Mathematics and Technology
Faculty	Faculty of Engineering

Unit Information

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.

Your learning on this unit

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.

How you will learn

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.

How you will be assessed

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

Resources

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. EMATM0042).

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.

Assessment
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.