CM50272: Humans and intelligent machines
Academic Year: | 2019/0 |
Owning Department/School: | Department of Computer Science |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
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Assessment Summary: | CW 100% |
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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. Skills: 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. Content: 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. |
Programme availability: |
CM50272 is Compulsory on the following programmes:Department of Computer Science
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