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Thinking and Reasoning with Data (MAST90044)
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 |
What conclusion can be drawn from a pool of data? How can a scientist draw meaningful conclusions while not overreaching? How can modelling help the scientist interpret data? This subject will address these questions by teaching students critical thinking and data analysis skills. After completing this subject students will understand the basic principles of sampling and experimental design, how the results of statistical analyses are reported, the statistical thinking behind common statistical procedures and will be able to carry out a range of standard statistical techniques.
Intended learning outcomes
After completing this subject students should understand:
- the principles of sampling and experimental design;
- how the results of statistical analyses are reported;
- the statistical thinking behind common statistical procedures and be able to carry out many standard statistical techniques.
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: 31 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20005 | Statistics |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
MAST90007 | Statistics for Research Workers | Winter Term (Dual-Delivery - Parkville) |
12.5 |
MAST90058 | Elements of Statistics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
Students who have completed MAST10010 Data Analysis 1 or MAST10011 Experimental Design and Data Analysis must obtain subject coordinator’s approval before enrolling in this subject
Recommended background knowledge
It is expected that students have previously attended an introductory statistics subject or be otherwise familiar 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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Up to 30 pages of written assignments (three assignments worth 15%, 15% and 20% due early, mid and late in semester)
| During the teaching period | 50% |
A written examination
| During the examination period | 50% |
Last updated: 31 January 2024
Dates & times
- Semester 1
Principal coordinator Julia Polak Mode of delivery Dual-Delivery (Parkville) Contact hours 48 hours comprising two 1-hour lectures per week and one 2-hour computer laboratory session per week. 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: 31 January 2024
Further information
- Texts
Prescribed texts
To be advised.
Recommended texts and other resources
To be advised.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Environmental Science Course Master of Geography Course Master of Urban Horticulture Course Master of Science (Physics) Course Master of Biomedical Science Course Master of Science (BioSciences) Course Master of Science (Earth Sciences) Course Doctor of Philosophy - Engineering Course Master of Science (Computer Science) Course Graduate Certificate in Professional Skills for Scientists Course Master of Philosophy - Engineering Informal specialisation BioSciences Informal specialisation BioSciences Major Integrated Water Catchment Management Major Integrated Water Catchment Management Major Tailored Specialisation Major Environmental Science Major Environmental Science Major Tailored Specialisation Major Tailored Specialisation - 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: 31 January 2024