- Code BIOL6200
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Biology
- Areas of interest Statistics, Bioinformatics, Computer Science, Mathematics, Biology
- Academic career PGRD
- Dr Francis Hui
- Mode of delivery In Person
- Co-taught Course
First Semester 2020
See Future Offerings
This course equips biology students with skills in basic mathematics, statistics and computing in preparation for areas of biology which require quantitative data analysis. Such skills are important for experimental design and for analysing and interpreting quantitative datasets arising from modern bioinformatics and biological modelling. Topics covered include introductory calculus, linear algebra, probability and statistics, and elementary computer programming. Examples will be given of quantitative problems arising in biological contexts. Laboratory and/or field practicals may be used for data gathering.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will have the knowledge and skills to:
- Demonstrate a deep understanding of the mathematical reasoning underlying specific biological techniques.
- Demonstrate accurate and efficient use of specific mathematical tools in the analysis of biological data.
- Demonstrate capacity for original mathematical reasoning in a broader biological context.
- Effectively communicate complex quantitative biology concepts to their peers and academic staff, through carefully written technical reports.
Indicative AssessmentAssessment will be based on:
- Workshops/quizzes (20%, LO1-3)
- Practical Assignments (30%, LO 1-3)
- End of semester exam (30%, LO 1-3)
- Research project based on a specific example from published scientific literature and biological dataset (20%; LO 4)
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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Workload3 lectures per week, 2 to 3 hours workshops or practical per week, plus individual work.
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Assumed KnowledgeAssumed knowledge: ACT Mathematical Methods or NSW HSC Mathematics or equivalent.
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.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
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|
|3410||24 Feb 2020||02 Mar 2020||08 May 2020||05 Jun 2020||In Person||View|