Course Details in 2025/26 Session

Module Title	LH Data Science for Brain and Behaviour 1
School	School of Psychology
Department	School of Psychology
Module Code	03 39531
Module Lead	Dr Andrew Olson
Level	Honours Level
Credits	20
Semester	Semester 1
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-20 hours Practical Classes and workshops-20 hours Guided independent study-160 hours Total: 200 hours
Exclusions
Description	The module will provide an introduction to data science principles and techniques for undergraduate students studying psychology. Topics covered will include: 1. The role of code in data exploration and analysis 2. Loading, selecting information from and visualizing data sets 3. Programming for data analysis. 4. Data structures, including arrays and data frames. 5. Principles of inference using simulation and resampling. 6. Straight line relationships Students will complete a structured data analysis exercise, in which they explore a novel data set, and do statistical inference to answer questions arising from the data. This will form the basis of the course assessment.
Learning Outcomes	By the end of the module students should be able to: Demonstrate mastery of the selection and use of programming tools and methods for data analysis Write clear and well-organized code to load, clean, filter and explore data in different forms Apply simulation and resampling methods for statistical inference Choose and apply appropriate visualization and analyses to novel data Interpret results from analyses appropriately Use reflection to identify where code preparation and data analysis strategies were suitable, and where not, and how analysis might be improved in future projects
Assessment	39531-01 : Homework 2 : Coursework (9%) 39531-02 : Data Science Project : Coursework (65%) 39531-03 : Individual Reflective Statement : Coursework (26%)
Assessment Methods & Exceptions	Assessment: Coding Assessment 1: 0% Coding Assessment 2 (approximately 16-hours): 9% Group Project (approximately 14 full working days/117 hours): 65% Reflective statement (2000 words): 26% Where word length is not specified it is because the output of these assignments is programming code rather than written prose. Reassessment: 100% structured data analysis assignment.
Other
Reading List