- Code BIOL6202
- Unit Value 6 units
This course includes an on campus activity/ies. Check timetable for details. Contact course convener if you are unable to travel to Canberra.
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:
- Apply an advanced understanding of when to apply different experimental approaches in biology and how to use experimental models.
- Design biological experiments to address critical questions in biology.
- Demonstrate technical proficiency, appropriate analysis and interpretation of qualitative and quantitative data
- Describe, apply, and critically assess the results of relevant statistical techniques in the context of the analysis of biological measurements
- Integrate and apply the knowledge gained from specific research projects to problem solving in other areas of biology.
• Lab report (2 x 5%, LO 2, 3, 4, 5)
• Assignments and problem sets (4 x 10%, LO 1, 3, 4)
• Mid-term quiz (10%, LO 1, 3, 4)
• Extra Writing Assignment (10%; LO 1, 5)
• Final Exam (30%; LO 1, 4, 5)
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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WorkloadTwo lectures and one computer practical per week, up to 65 contact hours per semester.
Requisite and Incompatibility
You will need to contact the Biology Teaching and Learning Centre to request a permission code to enrol in this course.
Bachelor degree with first year biology; some knowledge of statistics.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.