Programming in Neuroimaging - PSY00046M

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  • Department: Psychology
  • Module co-ordinator: Dr. Mark Hymers
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20 to Spring Term 2019-20

Module aims

To provide an introduction to programming languages such as Python can be used to generate and present experimental stimuli for neuroimaging experiments and how they can be used to analyse neuroimaging and behavioural data.

Module learning outcomes

On completing the module a student will be able to:

  • demonstrate an understanding of the basics of programming in Python
  • generate experimental stimuli using Python
  • present experimental stimuli using Python
  • analyse experimental data using Python

Assessment

Task Length % of module mark
Essay/coursework
Assessment 1, Section A
N/A 12
Essay/coursework
Assessment 1, Section B
N/A 18
Essay/coursework
Assessment 2, Section A
N/A 28
Essay/coursework
Assessment 2, Section B
N/A 21
Essay/coursework
Assessment 2, Section C
N/A 21

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
Reassessment Coursework
N/A 100

Module feedback

Written comments will be provided on scripts. Feedback will be provided within 6 weeks of submission

Indicative reading

Think Python by Allen B Downey Green Tea Press



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.