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Last modified: 25 Mar 2016 11:38

Course Overview

This student-led reading course will allow learners to dive in-depth into an advanced area of computer science, such as game theory, machine learning, decision theory, social choice or algorithms for automated planning. The exact format of the course will differ based on the exact topic chosen, but will typically consist of informal group seminars together with continuous assessments. This course is ideal for those who want to gain exposure to cutting edge computer science research, and there is an expectation that students will have some understanding of mathematical concepts and be willing to undertake self-directed learning.

Course Details

Study Type Undergraduate Level 2
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
  • Dr Nir Oren

Qualification Prerequisites


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

  • Any Undergraduate Programme (Studied)
  • Either Programme Level 1 or Programme Level 2

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

Course Aims

This course seeks to provide students with a deeper insight into specific areas of computing science.

Main Learning Outcomes

Understanding of the cutting edge techniques and open questions in an area of computing science
Ability to read, understand and participate in academic discussion

Course Content

The course will, in agreement with the students, select a research area within computing science for deeper study. Students will then be expected to perform self-directed learning, with the help of the course coordinator, to learn about the area in more detail.

Topics could include:
  • Game theory
  • Modal logic
  • Decision theory
  • Robotics
  • Logistics/Operations Research
  • Argumentation
  • Machine vision

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 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

1st Attempt

100%  continuous assessment, which will typically consist of essays. presentations, solved exercises and class participation.


Resubmission of the continuous assessment where applicable, or another means of assessment such as an oral examination.

Formative Assessment

Tutorials will take the form of discussion sessions, in which students may be expected to present some work.


Feedback will be provided during tutorial sessions.

Course Learning Outcomes


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