Last modified: 25 Mar 2016 11:38
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.
| Study Type | Undergraduate | Level | 2 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Old Aberdeen | Sustained Study | No |
| Co-ordinators |
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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.
Information on contact teaching time is available from the course guide.
1st Attempt
100% continuous assessment, which will typically consist of essays. presentations, solved exercises and class participation.
Resit
Resubmission of the continuous assessment where applicable, or another means of assessment such as an oral examination.
Tutorials will take the form of discussion sessions, in which students may be expected to present some work.
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