- Code BIOL2001
- 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
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. This course also provides a pathway to 1000 level mathematics courses.
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.
- 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]
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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
Assumed KnowledgeYear 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.
Commonwealth Support (CSP) Students
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- Student Contribution Band:
- Unit value:
- 6 units
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