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CS551K: SOFTWARE AGENTS AND MULTI-AGENT SYSTEMS (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

The global autonomous systems market is expected to be valued at over £13 billion by 2025, involving both software systems and robots. Such autonomous systems act to achieve goals with no human intervention, and are already found in Tesla's self-driving cars, NASA space probes and systems such as Amazon's Echo. This course provides the student with a solid grounding in the theory and tools which underpin such systems, teaching them both how to develop such systems, and use them effectively as part of a larger product.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators
  • Dr Nir Oren
  • Professor Wamberto Vasconcelos

What courses & programmes must have been taken before this course?

  • Either Any Postgraduate Programme (Studied) or Master of Engineering in Computing Science

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course will present the theory and practice of software agents and multi-agent systems. Lectures will cover core concepts, while practicals will allow students to implement and use these techniques. Example topics covered in this course include agent architectures, reasoning techniques, communication and coordination, and individual and group decision making.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 10 Lectures during University weeks 34 - 35
  • 5 Practicals during University weeks 34 - 35

More Information about Week Numbers


Summative Assessments

Software and Report (50%); Class Test (50%).

Resit: where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).

 

Formative Assessment

There are no assessments for this course.

Feedback

Formative feedback for in-course assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions.

Course Learning Outcomes

None.

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