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CS502K: SYMBOLIC AI (2022-2023)

Last modified: 25 Oct 2022 16:40


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
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Dewei Yi
  • Dr Gowri S. Sripada

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

  • Either Any Postgraduate Programme or Programme Level 5
  • Either Any Postgraduate Programme 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?

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

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Computer Programming

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Take Home Exam

Assessment Type Summative Weighting 30
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Project Report/Dissertation

Assessment Type Summative Weighting 40
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of failed elements (pass marks carried forward)

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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