Data Mining

Learning Outcomes

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• use appropriate techniques to obtain data from the web in an ethical manner;
• manage and extract information from unstructured data.

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• storing, searching and analysing structured and unstructured data in a variety of formats.

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• select and apply methods for the analysis of textual data in Python, and interpret your results.

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• write technical reports that present results in a clear and reproducible manner.

This module will cover:

• Data modalities
• Analysing structured and unstructured datasets
• Web scraping and Web crawling
• Feature extraction
• Indexing and information extraction
• Analysing unstructured text data; topic modelling

Teaching and learning methods

Depending on feasibility, teaching may be delivered face to face intensively over a week, or online using a mixture of synchronous and asynchronous online methods, which may include lectures, discussion boards, workshop activities, exercises, and videos. A range of resources will also be provided for further self-directed study.

Resources & Reading list

Textbooks

Toby Segaran (2007). Programming Collective Intelligence. Sebastopol, US: O'Reilly.

Han, Jiawei; Kamber, Micheline; Pei, Jian (2012). Data Mining. Waltham, MA, USA: Elsevier.

Assessment strategy

100% Coursework

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat Information

Repeat type: Internal & External