- Code BIOL2202
- Unit Value 6 units
- Offered by Biology Teaching and Learning Centre
- ANU College ANU Joint Colleges of Science
- Course subject Biology
- Academic career UGRD
- Prof Allen Rodrigo
- Rachael Remington
- Mode of delivery In Person
- Co-taught Course
Second Semester 2017
See Future Offerings
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:
- Short report write-ups (2 x 10%; LO 2, 3, 4)
- Seed Practical Report (15%; LO 2, 3, 4)
- Modelling Exercise worksheet (10%; LO 1, 3)
- Quiz and Assignment ( 2 x 10%)
- Exam (35%; LO 1, 4, 5)
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WorkloadTwo lectures per week, four practical sessions and up to six small and large tutorials 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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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8177||24 Jul 2017||31 Jul 2017||31 Aug 2017||27 Oct 2017||In Person||N/A|