Course Description

Course Name

Biological Data Analysis and Computing

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Uses real biological examples and computers, and deals with types of data and their acquisition; graphical and exploratory analysis; estimation and hypothesis testing; experimental design; computer-intensive methods and simulation.

This paper covers experimental design and data analysis techniques widely used in the biological sciences, taught using the free software R.

Course Structure
24 lectures (30?45 minutes), with 24 corresponding tutorials (60?75 minutes) involving hands-on programming and data analysis using R, which are taught in computer labs (assisted by student demonstrators)

Learning Outcomes
Students will gain an understanding of key issues related to experimental design and data analysis. They will also learn to use the free software R to conduct a range of analyses (from basic to complex).

Specific aims of the paper include:
- Helping you design field or laboratory experiments
- Helping you gather, present and interpret biological data
- Enabling you to make recommendations and decisions about biological systems
- Giving you a foundation for understanding, critically evaluating and using statistical data
- Building up your knowledge slowly and thoroughly
- Hopefully, helping reduce a possible fear or dislike of stats!

*Course content subject to change