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Experimental Design and Data Analysis (MAST10011)
Undergraduate level 1Points: 12.5Dual-Delivery (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
Availability(Quotas apply) | Semester 1 - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject provides an understanding of the fundamental concepts of probability and statistics required for experimental design and data analysis in the health sciences. Initially the subject introduces common study designs, random sampling and randomised trials as well as numerical and visual methods of summarising data. It then focuses on understanding population characteristics such as means, variances, proportions, risk ratios, odds ratios, rates, prevalence, and measures used to assess the diagnostic value of a clinical test. Finally, after determining the sampling distributions of some common statistics, confidence intervals will be used to estimate these population characteristics and statistical tests of hypotheses will be developed. The presentation and interpretation of the results from statistical analyses of typical health research studies will be emphasised.
The statistical methods will be implemented using a standard statistical computing package and illustrated on applications from the health sciences.
Intended learning outcomes
On completion of the subject, students should be able to:
- analyse standard data sets, interpreting the results of such analysis and presenting the conclusions in a clear and comprehensible manner;
- understand a range of standard statistical methods which can be applied to biomedical sciences.
- use a statistical computing package to analyse biomedical data;
- choose a form of epidemiological experimental design suitable for a range of standard biomedical experiments.
Generic skills
In addition to learning specific skills that will assist students in their future careers in the health sciences, they will have the opportunity to develop, generic skills that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time management skills: the ability to meet regular deadlines while balancing competing commitments;
- computer skills: the ability to use statistical computing packages.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10010 | Data Analysis 1 | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
ECON10005 | Quantitative Methods 1 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
MAST20005 | Statistics |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
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 |
---|---|---|
1 Hand-written assignment (part 1) with use of software(*)
| From Week 3 to Week 4 | 5% |
1 Hand-written assignment (part 2) with use of software(*)
| From Week 7 to Week 8 | 5% |
One computer-based in-class test
| Week 11 | 10% |
Best 10 (of 11) online quizzes | Weekly from week 2 | 10% |
A written examination
| During the examination period | 70% |
Additional details
*Due to extenuating factors related to COVID-19, assessment due dates for this subject in 2021 may differ with Handbook publication. Please check your subject LMS page at the start of semester for confirmed assessment timings.
Last updated: 31 January 2024
Quotas apply to this subject
Dates & times
- Semester 1
Coordinator Yao-Ban Chan Mode of delivery Dual-Delivery (Parkville) Contact hours 3 x one hour lectures per week, 1 x one hour practice class per week, 1 x one hour computer laboratory class 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
Estimated total time commitment of 170 hours
Additional delivery details
An enrolment quota of 350 students applies per semester. Students will be enrolled in Experimental Design and Data Analysis in the opposite semester to which they are enrolled in Mathematics for Biomedicine. Please refer to the Handbook entry for MAST10016 Mathematics for Biomedicine for further information.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
None.
Recommended texts and other resources
B. Rosner, Fundamentals of Biostatistics, 8th Edition, Cengage Learning, 2015.
- Subject notes
This subject is only available to students enrolled in the Bachelor of Biomedicine degree or the Bachelor of Biomedical Science (pre-2008 degree)
- Related Handbook entries
This subject contributes to the following:
Type Name Course Bachelor of Biomedicine - 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