Course title

Foundational skills for Neuroimaging: Philosophy, Mathematics, and Statistics, and Other Essential Skills

Learning objectives

A student who has met the objectives of the course will be able to:

1. Understand and articulate the basic philosophical assumptions of scientific methods, with particular emphasis on falsification, and theory testing, particularly as it applies to modern neuroimaging
2. Understand and apply basic mathematical tools from algebra to calculus
3. Understand and apply basic concepts in frequentist statistics, including hypothesis-testing, power, multiple linear regression
4. Understand and apply basic concepts in ”new statistics” with a greater emphasis on effect size estimation and confidence intervals, as well as Bayesian statistics, and to develop an understanding of the limitations of the classical framework
5. Begin a programme of neuroimaging training equipped with most of the foundational skills necessary to learn effectively.

Content

This is a foundation skills course that provides many of the basic skills necessary to do neuroimaging research. Topics covered include philosophical foundations (inc. deduction, induction, falsification, inference), mathematical foundations (inc. algebra, matrices, calculus), statistical foundations (inc. central limit theorem, hypothesis testing, power, linear regression, anova, confidence intervals & effect size estimation, and Bayesian statistics). Whilst it is contextualised and oriented towards neuroimaging problems, it does not include pragmatic content on actual neuroimaging methods.

Participants

Some programming experience with Matlab is essential. If you do not have this experience, it is possible to take video based coursera courses in Matlab alongside this course (in your own time). Familiarity with high school mathematics is recommended. As the course is explicitly designed for students from all backgrounds and training, no other prerequisites are required.

Language

English

Form

14 x 2 hours lectures + 1 hour exercises

Course director

Oliver Hulme, Senior Researcher, Danish Research Centre for Magnetic Resonance,

Teachers

Oliver Hulme, Senior Researcher, Danish Research Centre for Magnetic Resonance

+ Teaching assistants

Dates

The start date of the course is to be announced

All lectures are Thursday mornings, between 10-12am followed by one hour of exercises

Course location

Danish Research Centre for Magnetic Resonance

Pavillion 7 meeting room (upper floor)

MR-forskning, Afs. 714

Copenhagen University Hospital Hvidovre

Kettegard Allé 30

Registration

Please register when the start date is announced and a registration deadline is set.

https://phdcourses.ku.dk/DetailKursus.aspx?id=105531&sitepath=SUND