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. This course also provides a pathway to 1000 level mathematics courses.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate an understanding and apply the basic concepts of calculus and linear algebra.
- Understand and apply the basic concepts of probability and statistics.
- Write elementary computer codes using the statistical programming language R.
- Apply the basic concepts of mathematics, statistics and computing to simple biological problems.
Indicative Assessment
- 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 2,3,4]
- In class tests (36) [LO 2,3,4]
- End of semester online quiz (7) [LO 2,3,4]
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.
Workload
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.
Inherent Requirements
To be determined
Requisite and Incompatibility
Prescribed Texts
Not required.
Assumed Knowledge
Year 12 ACT Mathematical Applications, NSW General Mathematics, or equivalent in other states.Fees
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:
- 2
- 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.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2023 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2023 | $6180 |
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.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 3025 | 20 Feb 2023 | 27 Feb 2023 | 31 Mar 2023 | 26 May 2023 | In Person | N/A |
