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Data and Decision Making (MAST90072)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
| Availability | Semester 1 - Dual-Delivery |
|---|---|
| Fees | Look up fees |
The basis for decision making in biotechnology is often the analysis of data. In order for these decisions to be reliable data must be correctly collected and analysed. To control costs data should be efficiently collected and it needs to be properly stored and managed. The interpretation of an analysis requires some knowledge of basic statistical ideas and techniques and the results will often be communicated to a non-specialist audience who will make decisions based on the presentation. Alternatively decisions may be made from the analyses and interpretations of others. This subject examines the whole process of data collection, analysis and decision making.
This subject is a core subject for Master of Biotechnology (MC-SCIBIT) and examples and curriculum are designed for MC-SCIBIT students.
Intended learning outcomes
On completion of this subject, students should be able to:
- Apply statistical techniques from experimental design and data collection to present a report to a possibly non-specialist audience;
- Recognise and apply different statistical techniques used in biotechnology;
- Identify statistical processes and associated resources required to effectively manage projects;
- Demonstrate competence in using major statistical computing package.
Generic skills
At the completion of this subject, students should gain the following generic skills:
- problem-solving skills (especially through tutorial exercises and assignments) including engaging with unfamiliar problems and identifying relevant strategies;
- analytical skills including the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis;
- the ability to work in a team, through interactions with other students.
Last updated: 24 January 2023
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Previous exposure to statistics through an introductory statistics subject or familiarity with elementary statistics.
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: 24 January 2023
Assessment
| Description | Timing | Percentage |
|---|---|---|
3 written assignments of approximately 500 words each. Due early, mid and late semester
| During the teaching period | 30% |
Project Report
| Late in the teaching period | 20% |
Written Examination
| During the examination period | 50% |
Last updated: 24 January 2023
Dates & times
- Semester 1
Principal coordinator Wei Huang Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours comprising two 1-hour lectures per week and one 1-hour computer laboratory. Total time commitment 170 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
Time commitment details
170 hours
Last updated: 24 January 2023
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
- Links to additional information
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 24 January 2023