Course Overview

The general objectives of this course are to: 

- Understand the basis of statistics and statistical methods and
interpretation 
- Use appropriate methods to address Neuroscience issues
- Get a first hand on ‘R’ scripts

Learning Achievement

Competence

Course prerequisites

- Students should possess a Bachelor degree (180 ECTS) or equivalent
diploma in biology, biochemistry, biomedicalsciences, medical studies,
pharmacy, cognitive sciencesor psychology.  - A proven interest and
solid basic knowledge in the field of Neuroscience must be provided by
students with aBachelor degree in another subject (chemistry,
physics,mathematics, computer science).  - Language prerequisite:
fluency in English

Grading Philosophy

- graded homework (exercises) along the semester
- one re-sits is allowed (graded exercises) 

Course schedule

Statisitics: 

- Variables - Experimental Plans  - Non parametric tests -
Parametric tests - R script

Neural data analysis: 

- Neuronal modelling - Data analysis

Course type

Lectures, training, homework. Lectures: Variables, Experimental plans, Non-parametric and parametric analysis; Methods, Interpretation  - Tutorial 1: R script  - Tutorial 2: Neural data analysis - 28 hours in class: lectures: 14 hours + tutorials: 14 hours  - Personal student work: 50 hours (including graded homework) 

Online Course Requirement

Instructor

Other information

Maximum number of students : 20Duration: 3 months

Language of instruction: English
Mode of delivery: Teaching and practice in-class

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