Description
The module will introduce students to the domain of data science relevant to the field of crime and security science. It will give them a broad overview of (i) web data collection techniques using APIs and web-scraping, (ii) text mining (iii) machine learning principles and methods, (iv) as well as guest lectures on applications of natural language processing to crime and security science. The techniques covered in the module are taught within the context of their application to crime and security, but the course is suitable for students from other disciplines. The module consists of ten combined sessions (lectures + practical tutorial sessions).Ìý During the weekly practical tutorial sessions, students will implement the techniques they have been taught in lecturers using the R programming language. The module is suitable for students intending to learn about data science and acquire the skills to conduct a full data science project from start to finish. This is a practical module requiring a considerable amount of programming to complete the weekly tutorial exercises, homework, and a large assessment in R. Some preparation material and programming tasks will be provided to help students master the basics of the R language. Students must work through the module preparation material and complete all the required tasks before the module begins.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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