Research Methods for Neuroscience (C1147)

15 credits, Level 4

Spring teaching

The use of statistics allows us to form a quantitative understanding about experimental or observational data and the information we can extract from it. It allows us to make clear statements about the data in a form that can be understood by other scientists. Ultimately, it gives a rigour and clarity to our analysis of experimental or observational data.

An essential aspect of the module is getting experience by solving problems and actually calculating quantities from data. Such experience only comes about from practice and since we are dealing with a highly numerate subject, the details are very important. Neurocientists also need to know some specific physics, which are also represented in this module.

Teaching

28%: Lecture
19%: Practical (Laboratory)
53%: Seminar (Class, Seminar)

Assessment

100%: Coursework (Presentation, Problem Set)

Contact hours and workload

This module is 150 hours of work. This breaks down into 48 hours of contact time and 102 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.