Research Methods for Neuroscience (C1147)
Research Methods for Neuroscience
Module C1147
Module details for 2023/24.
15 credits
FHEQ Level 4
Module Outline
This module explores modern techniques for collecting, analysing and interpreting data in neuroscience, which are essential skills for understanding evidence on the workings of the brain, and to becoming a neuroscientist. It is taught in three parts:
Part 1 - Statistics.
Basic statistical skills needed for neurobiology, including the use of R/R-studio open-source statistical software.
Part 2 - Methods and Data in Neuroscience.
Engagement with primary neuroscience literature or datasets, application of analysis skills, and oral communication.
Part 3 - Physics for Neuroscientists.
Basic mathematics (derivatives, etc) and physics (waves, electrical circuits) necessary for understanding fundamentals of biophysics and neuroscience.
Module learning outcomes
Demonstrate understanding of a range of statistical methods that are commonly used in the biological sciences, and be able to use a modern software package to apply these methods to biological data.
Research and critically analyse the methods and data interpretation relating to a paper or dataset in primary neurobiology research, and communicate your findings during in-class discussion.
Describe the basic mathematics and physics needed to understand the operation of the nervous system.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Test | T2 Week 7 (2 hours) | 40.00% |
| Problem Set | PS2 Week 1 | 40.00% |
| Presentation | PS2 Week 1 | 20.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Online Lecture | 1 hour | 11110000000 |
| Spring Semester | Workshop | 2 hours | 01111000000 |
| Spring Semester | Lecture | 1 hour | 00000033333 |
| Spring Semester | Lecture | 1 hour | 32222110000 |
| Spring Semester | Seminar | 2 hours | 00000101000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Wiebke Schuett
Assess convenor
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Dr Doran Amos
Assess convenor, Convenor
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