Summary of co​urse content

You will learn the basics of data mining on biological data, and the kinds of biological data in existence. You will also learn some techniques for performing data integration, namely network analysis and complex prediction.

This is a Technology-Enhanced Learning (TEL) course (100%).

Aims and objectives

1. You will learn what are knowledge discovery techniques
2. You will develop and enhance your logical problem-solving skills and cognitive flexibility
3. You will get a sense of the kinds of data generated in the biomedical setting (and associative virtues and issues)

Syllabus

1. A Primer for Biostatistics
2. A Primer for Data Mining
3. What is Gene Expression Profile Analysis?
4. What is Proteomic Profile Analysis?
5. A Primer for Protein Interaction Networks
6. How to do Protein Complex Prediction
7. Protein Function Prediction

Assessment

Respondus CA (Multiple response questions and/or structured short answer questions) (1 per lecture, worth 10% each) ​​	Individual	70%
Group Project (5 weeks)	Group	30%
		100%