This course will describe the way biologists generate and assess evidence. The use of biological models from bacteria, plants and animals will be discussed, with their advantages and limitations. The value of different experimental approaches including hypothesis-driven research and large scale data generation, such as genome sequencing projects will be considered.  Quantitative reasoning and analysis will be introduced with examples of its application to biological problems.  Students will participate in one of a few practical exercises to develop and test hypotheses and then, as a group, compare and contrast the application of statistical approaches to interpret the data. 

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Understand when to apply different experimental approaches in biology and how to use experimental models.
2. Design simple biological experiments to address specific questions
3. Demonstrate practical skills and appropriate  analysis and interpretation of qualitative and quantitative data
4. Describe, apply, and interpret the results of relevant statistical techniques in the context of the analysis of biological measurements
5. Apply the knowledge gained from specific research projects to problem solving in other areas of biology.

• Practical report (25%; LO 2, 3)

• Written work comparing statistical approaches (25%LO 1, 4)

• Exam (50%; LO 1, 2, 4, 5)

Two lectures per week, four practical sessions and up to six small and large tutorials up to 65 contact hours per semester

Prerequisites: BIOL1003 and BIOL1004; CHEM1101 and STAT1003 recommended

Not yet determined