- Code BIOL2001
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Biology
- Areas of interest Bioinformatics, Mathematics, Biology
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.
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:
- Understand and demonstrate the ability to apply the basic concepts of calculus and linear algebra
- Understand and demonstrate the ability to 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
- Workshops/quizzes (20%, LO1-4)
- Online Assignments (20%, LO1, 2)
- Practical Assignments (30%, LO 3, 4)
- End of semester exam (30%, LO 3, 4)
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Workload3 lectures per week, 2 to 3 hours workshops or practical per week plus individual work.
Requisite and Incompatibility
Assumed KnowledgeYear 12 ACT Mathematical Applications, NSW General Mathematics, or equivalent in other states.
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- Student Contribution Band:
- Unit value:
- 6 units
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