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

30%: Lecture
18%: Practical (Workshop)
52%: Seminar (Class, Seminar)

Assessment

100%: Coursework (Presentation, Problem set, Test)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 48 hours of contact time and about 102 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: