Data Science for Cognitive Neuroscience and Psychology
Undergraduate
Undergraduate
To develop students’ skills in the analysis, visualisation and critical understanding of data, to familiarise them with the basics of coding in an open source programming language relevant to data science, and to introduce the principles of open and reproducible science.
In this course, students will learn how to gain insights from data using contemporary computational tools. To this end, they will attain basic programming skills in an open source programming language (R or Python) and learn how to use online repositories such as GitHub or the Open Science Framework to share data and code. Students will also develop an understanding of how these tools help to foster open science, reproducible research and thus the ethical treatment of data. While critical for research in cognitive (neuro-)science, the data science skills acquired in this course generalise readily to other domains.
Hadley Wickham, Garrett Grolemund 2017, R for Data Science, 1st, O'Reilly, Sebastopol, CA
Common to all relevant programs | |
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Subject Area & Catalogue Number | Course Name |
BEHL 2005 | Introductory Research Methods |
Nil
Component | Duration | ||
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INTERNAL, MAGILL | |||
Workshop | 3 hours x 10 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Programming exercise, Report
EFTSL*: 0.125
Commonwealth Supported program (Band 4Y)
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Fee-paying program for domestic and international students
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Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.