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Data Science for Biologists (BIOL90041)
Graduate courseworkPoints: 12.5Not available in 2024
Overview
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This subject provides an overview of data science concepts and techniques as they pertain to the field of biology. Students will learn how to apply data science methods to real-world biological data, including techniques for data collection, curation, analysis, and visualization. The subject will provide practical skills in programming languages commonly used for data science, such as R or Python, and best practices for reproducible research, including documentation and data sharing. It will also provide with the students a practical experience of high-performance computing (HPC) and cloud computing. By the end of the subject, students will have developed a robust foundation across this set of skills, empowering them to work confidently with the kind of large-scale dataset that is becoming increasingly common across all fields of biology.
Intended learning outcomes
On completion of this subject, students should be able to:
- apply fundamental principles of data science to biological data sets;
- collect, organise, and curate biological data for analysis;
- assess the appropriateness of experimental designs and analysis techniques to interpret biological data;
- visualise and interpret the results of data analysis; and
- develop practical skills in programming languages commonly used for data science.
Generic skills
At the completion of this subject, students should gain skills in:
- collecting, curating, and interpreting quantitative data;
- developing the ability to exercise critical judgement;
- rigorous and independent thinking; and
- time management and self-management.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
5x in-class quizzes
| Weeks 2-12, every 2-3 weeks | 20% |
2x coding assignments
| Weeks 3-4 and Weeks 8-10 | 30% |
2x written reports
| Weeks 6-7 and during examination period | 50% |
Last updated: 31 January 2024
Dates & times
Not available in 2024
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024