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Linear Statistical Models (MAST30025)

Undergraduate level 3Points: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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Linear models are central to the theory and practice of modern statistics. They are used to model a response as a linear combination of explanatory variables and are the most widely used statistical models in practice. Starting with examples from a range of application areas this subject develops an elegant unified theory that includes the estimation of model parameters, quadratic forms, hypothesis testing using analysis of variance, model selection, diagnostics on model assumptions, and prediction. Both full rank models and models that are not of full rank are considered. The theory is illustrated using common models and experimental designs.

Intended learning outcomes

On completion of this subject students should be able to



  • Understand the underlying statistical theory of linear models and the limitations of such models;
  • Fit linear models to data using a standard statistical computing package and interpret the results.

Generic skills

In addition to learning specific skills that will assist students in their future careers in science, 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;
  • time-management skills: the ability to meet regular deadlines while balancing competing commitments;
  • computer skills: the ability to use statistical computing packages.

Last updated: 12 May 2023

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST20005 Statistics
Semester 2 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
 12.5

AND

One of

Code Name Teaching period Credit Points
MAST10007 Linear Algebra
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
 12.5
MAST10008 Accelerated Mathematics 1
Semester 1 (On Campus - Parkville)
 12.5
MAST10022 Linear Algebra: Advanced
Semester 1 (On Campus - Parkville)
 12.5

MAST10013 UMEP Maths for High Achieving Students

Corequisites

None

Non-allowed subjects

620-371 Linear Models (prior to 2010)

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: 12 May 2023

Assessment

DescriptionTimingPercentage

Two or three written assignments due at regular intervals amounting to a total of up to 50 pages

  • 50 pages
During the teaching period20%

A written examination

  • 3 hours
During the examination period80%

Last updated: 12 May 2023

Dates & times

  • Semester 1
    Principal coordinatorYao-ban Chan
    Mode of deliveryOn Campus (Parkville)
    Contact hours3 x one hour lectures per week, 1 x one hour computer laboratory class per week
    Total time commitment170 hours
    Teaching period27 February 2023 to 28 May 2023
    Last self-enrol date10 March 2023
    Census date31 March 2023
    Last date to withdraw without fail 5 May 2023
    Assessment period ends23 June 2023

    Semester 1 contact information

    Email: yaoban@unimelb.edu.au

Time commitment details

Estimated total time commitment of 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).
    - Completion rate. Students who started their course from 2022 and are in a CSP or receiving a HELP Loan (eg FEE-HELP) must meet the completion rate to continue to receive Commonwealth Support for that course.

Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement, and as a fail toward the completion rate, unless there are approved ‘special circumstances’.

Last updated: 12 May 2023

Further information

Last updated: 12 May 2023