- Code BIOL2202
- Unit Value 6 units
This course will explore the ways biologists generate and assess evidence applying a variety of statistical techniques. 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 practical exercises to develop and test hypotheses and then, as a group, compare and contrast the application of statistical approaches to interpret the data.
Upon successful completion, students will have the knowledge and skills to:On satisfying the requirements of this course, students will have the knowledge and skills to:
- Understand when to apply different experimental approaches in biology and how to use experimental models.
- Design simple biological experiments to address specific questions
- Demonstrate practical skills and appropriate analysis and interpretation of qualitative and quantitative data
- Describe, apply, and interpret the results of relevant statistical techniques in the context of the analysis of biological measurements
- Apply the knowledge gained from specific research projects to problem solving in other areas of biology.
Previous experience in STAT1003 or another similar course would be helpful.
Indicative AssessmentAssessment will be based on:
• Lab report (2 x 5%, LO 2- 5)
• Assignments and problem sets (4 x 10%, LO 1, 3, 4)
• Mid-term quiz (10%, LO 1, 3, 4)
• Final Exam (40%, LO 1, 3, 4, 5)
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WorkloadTwo lectures and one computer practical per week, up to 65 contact hours per semester.
Requisite and Incompatibility
Not yet determined
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- Student Contribution Band:
- Unit value:
- 6 units
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