• Offered by Mathematical Sciences Institute
  • ANU College ANU Joint Colleges of Science
  • Course subject Biology
  • Areas of interest Bioinformatics, Mathematics, Biology
  • Academic career UGRD
  • Course convener
    • Dr Francis Hui
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2019
    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, probabilty 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.  This course also provides a pathway to 1000 level mathematics courses.  

Learning Outcomes

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:
  1. Understand and demonstrate the ability to apply the basic concepts of calculus and linear algebra
  2. Understand and demonstrate the ability to apply the basic concepts of probability and statistics
  3. Write elementary computer codes using the statistical programming language R
  4. Apply the basic concepts of mathematics, statistics and computing to simple biological problems

Indicative Assessment

  1. Workshops/quizzes (20%, LO1-4)
  2. Online Assignments (20%, LO1, 2)
  3. Practical Assignments (30%, LO 3, 4)
  4. End of semester exam (30%, LO 3, 4)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


3 lectures per week, 2 to 3 hours workshops or practical per week plus individual work.

Requisite and Incompatibility

BIOL1003 or BIOL1004. You are not able to enrol in this course if you have previously studied either MATH1003 or MATH1013 or MATH1113 or MATH1115

Assumed Knowledge

Year 12 ACT Mathematical Applications, NSW General Mathematics, or equivalent in other states.



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.

6.00 0.12500
Domestic fee paying students
Year Fee
2019 $3840
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

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.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3867 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person View

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