Unit name | Computational Neuroscience (Teaching Unit) |
---|---|
Unit code | COMS30017 |
Credit points | 0 |
Level of study | H/6 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. O'Donnell |
Open unit status | Not open |
Pre-requisites |
Basic knowledge of Python or Julia programming languages would help as the courseworks (both formative and summative) will be best implemented in these languages. No previous neuroscience knowledge is required. |
Co-requisites |
EITHER Undergraduate Assessment Unit COMS30016 Computational Neuroscience (Examination assessment, 10 credits) OR COMS30015 Computational Neuroscience (Coursework assessment, 20 credits) OR Assessment Unit for M level Masters students, COMSM0039 Computational Neuroscience (10 credits) Please note: COMS30017 is the Teaching Unit for the Computational Neuroscience option. Single Honours Computer Science students can choose to be assessed by either examination (10 credits, COMS30016) or coursework (20 credits, COMS30015) by selecting the appropriate co-requisite assessment unit. M level Masters students must register for the M level assessment unit COMSM0039. Any other students that are permitted to take the Computational Neuroscience option are assessed by examination (10 credits) and should be enrolled on the co-requisite exam assessment unit (COMS30016). |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
This unit Aims to provide the student with an understanding of computational principles of biological computations performed in the brain by single neurons and network of neurons, for the following brain processes:
General ILOs:
On successful completion of this unit, students will be able to:
In addition to the General ILOs above, when assessed by Examination, students will be able to:
In addition to the General ILOs above, when assessed by Coursework, students will be able to:
In addition to the General ILOs above, on successful completion of the unit, M level students will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, practical activities and self-directed exercises.
Teaching will take place over Weeks 1-7, with coursework support in weeks 8-10 and for students assessed by examination, consolidation and revision sessions in Weeks 11 and 12.
Undergraduate Examination details:
January timed assessment (100%, 10 credits)
OR
Undergraduate Coursework details:
Coursework, to be completed over weeks 8-10. (100%, 20 credits)
OR
M level assessment details:
Coursework (100%)
Lecture notes will be provided. Background reading to include: