- 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 Brett Parker
- Mode of delivery In Person
- Co-taught Course
First Semester 2022
See Future Offerings
See https://www.anu.edu.au/covid-19-advice. In Sem 1 2022, this course is delivered on campus with adjustments for remote participants.
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:
- Apply and communicate the basic concepts of calculus and linear algebra and their use in biology.
- Demonstrate accurate and efficient use of probability and statistics in the analysis of biological data.
- Write computer codes using the statistical programming language R.
- Apply the basic concepts of mathematics, statistics and computing to biological problems.
- Workshop and lectorial activities, including quizzes (12) [LO 1,2,3,4]
- Online pre-class quizzes (3) [LO 1,4]
- Assignments (15) [LO 1,4]
- Midterm Exam (20) [LO 1,4]
- Programming assignment (7) [LO 3,4]
- In class tests (36) [LO 2,3]
- End of semester online quiz (7) [LO 2,3,4]
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The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component, which may consist of:
- In weeks 1-6: 1 x 2 hour lectorial, 1 x 2 hour workshop plus 2 hours of preparation per week
- In weeks 7-12: 1 hour of pre-recorded lectures, 1 x 1 hour of live flipped classroom activities, 1 x 3-hour workshop plus 2 hours of preparation per week
- Approximately 52 hours of self directed study, which will include preparation for lectorials, workshops plus individual work and other assessment tasks.
To be determined
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.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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|
|2956||21 Feb 2022||28 Feb 2022||31 Mar 2022||27 May 2022||In Person||View|