Course Details in 2025/26 Session

Module Title	LH Intelligent Interactive Systems
School	Computer Science
Department	Computer Science
Module Code	06 37809
Module Lead	Andrew Howes
Level	Honours Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-44 hours Practical Classes and workshops-22 hours Guided independent study-134 hours Total: 200 hours
Exclusions
Description	Computer systems are increasingly designed to cooperate with people. For example, semi-autonomous vehicles automate part of the problem of driving but leave overall control with a human driver. Similarly, medical systems make use of vast amounts of data and the latest machine learning but must work with doctors to determine a diagnosis. Similarly, decision supports systems, tutoring systems, dialogue systems, and recommender systems. These Intelligent Interactive Systems, and the theory of human psychology that underpins them are the subject of this module. This is an area of computer science that is making rapid progress with new theory and methods influencing real-world systems. It is an area that is driven, in part, by the vast amount of data concerning human behavior that is now routinely collected and the desire to not simply classify it but to understand it. The module will introduce students to this new and exciting topic and to the methods needed to build Intelligent Interactive Systems. There will be a strong focus on algorithms for modeling and understanding people using computers.
Learning Outcomes	By the end of the module students should be able to: Demonstrate an understanding of the conceptual structure of a broad range of Intelligent Interactive Systems. Demonstrate knowledge of how human psychology shapes interactive systems design. Build software models of human-computer cooperation. Analyse new intelligent interactive design problems and program solutions.
Assessment	37809-01 : Continuous Assessment : Coursework (20%) 37809-02 : Examination : Exam (Centrally Timetabled) - Written Unseen (80%)
Assessment Methods & Exceptions	Assessment: 2 hr Examination (80%) , Continuous Assessment (20%) Reassessment: 100% Exam
Other
Reading List