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CM50272: Humans and intelligent machines

[Page last updated: 27 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Computer Science
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Assessed Coursework - Essay 1 (8 pages each - ~ 2000 words) (CW 50%)
  • Assessed Coursework - Esssay 2 (8 pages each - ~ 2000 words) (CW 50%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Description: Aims:
To give students an understanding of current theoretical, methodological and practical research issues around human interaction with robots and other computational intelligence.
To teach students relevant knowledge and skills related to the design, implementation, evaluation and management of systems involving humans and intelligent machines.
To raise students' awareness of ethical and related challenges and constraints around the coexistence and collaboration of humans and intelligent machines.
To give students experience of researching advanced topics in computer science, summarising the current state of the art, undertaking a relevant study and presenting the results.

Learning Outcomes:
After successfully completing this unit students should be able to:
* demonstrate an understanding of current practice and developments in systems involving humans and intelligent machines;
* show awareness of intelligent systems design issues;
* critically evaluate examples of the design and deployment of intelligent systems;
* recognize and challenge advances in the state of the art of intelligent systems;
* design, conduct and critique original research to address questions and challenges in the design and use of systems involving humans and machine intelligence.

Problem solving T/F, A
Working with others T/F, A
Ability to reason analytically and scientifically about taught material T/F, A
Ability to research, summarise and cogently debate state of the art literature T/F, A.

Course content will draw on a range of foundational and current issues in relevant areas. Examples of the topics from which these will be drawn include:
* What is machine intelligence?
* A systems approach to human-machine interaction
* What aspects of humans and non-human agents should be considered in designing intelligent systems?
* Robots and diverse human needs, e.g. the young, the old, disabled people
* Active learning
* The ethics and safety of machine intelligence
* Centaur AI and cyborgs.
Further information on programme availabilityProgramme availability:

CM50272 is Compulsory on the following programmes:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM48 : MSc Machine Learning and Autonomous Systems
  • TSCM-AWM48 : MSc Machine Learning and Autonomous Systems
Department of Electronic & Electrical Engineering


  • This unit catalogue is applicable for the 2020/21 academic year only. Students continuing their studies into 2021/22 and beyond should not assume that this unit will be available in future years in the format displayed here for 2020/21.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.