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Introduction to Statistical Computing (MAST90101)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Semester 1
emily.karahalios@unimelb.edu.au
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Overview
| Availability | Semester 1 - Dual-Delivery |
|---|---|
| Fees | Look up fees |
The aim of this subject is to provide students with the knowledge and skills required to undertake moderate to high level data manipulation and management in preparation for statistical analysis of data typically arising in health and medical research. In particular, students gain experience in data manipulation and management using two major statistical software packages (Stata and R) and acquire fundamental programme skills for efficient use of each of these software packages.
Intended learning outcomes
The specific learning outcomes are:
- Gain experience in data manipulation and management using two major statistical software packages (Stata and R).
- Learn how to display and summarise data using statistical software.
- Become familiar with the checking and cleaning of data.
- Learn how to link files through use of unique and non-unique identifiers.
- Acquire fundamental programming skills for efficient use of software packages.
- Learn key principles regarding confidentiality and privacy in data storage, management and analysis.
Generic skills
- Independent problem solving,
- Facility with abstract reasoning,
- Clarity of written expression,
- Sound communication of technical concepts
Last updated: 22 February 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: 22 February 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
Practical exercise (approx 4 hours of work, no more than 4 pages)
| Week 2 | 10% |
Written assignment 1 (approx 10 hours of work, no more than 10 pages)
| Week 6 | 30% |
Written assignment 2 (approx 10 hours of work, no more than 10 pages)
| Week 8 | 30% |
Written assignment 3 (approx 10 hours of work, no more than 10 pages)
| Week 12 | 30% |
Last updated: 22 February 2024
Dates & times
- Semester 1
Coordinator Emily Karahalios Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
emily.karahalios@unimelb.edu.au
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Time commitment details
170 hours
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: 22 February 2024
Further information
- Texts
Prescribed texts
Resources Provided to Students online: Course notes and assignments.
Special Computer Requirements: Stata and R (open access) statistical software.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Graduate Diploma in Biostatistics Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Master of Biostatistics - 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: 22 February 2024