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CS5060: FOUNDATIONS OF AI (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

This course presents the fundamental techniques of Artificial Intelligence, used in system such as Google Maps, Siri, IBM Watson, as well as industrial automation systems, and which are core to emerging products such as self-driving vehicles. This course will equip the student to understand how such AI technologies operate, their implementation details, and how to use them effectively. This course therefore provides the building blocks necessary for understanding and using AI techniques and methodologies.

Course Details

Study Type Postgraduate Level 5
Session First 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 presents a cross-section of fundamental AI techniques and technologies. Lectures will cover core concepts, theories, mechanisms and results, while practicals and tutorials will allow students to implement and use these techniques. Example topics covered in this course include approaches to searching in AI; automated planning and scheduling; AI techniques used in robotics; knowledge representation and natural language understanding.


Contact Teaching Time

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

Teaching Breakdown

  • 10 Lectures during University weeks 7 - 8
  • 5 Practicals during University weeks 7 - 8

More Information about Week Numbers


Summative Assessments

Computer Programming Exercise (30%); Project Report (40%); Take Home Exam (30%).

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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