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A First Course In Statistical Learning (MAST90104)

Graduate courseworkPoints: 25On Campus (Parkville)

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Overview

Year of offer2019
Subject levelGraduate coursework
Subject codeMAST90104
Campus
Parkville
Availability
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

Supervised statistical learning is based on the widely used linear models that model a response as a linear combination of explanatory variables. Initially this subject develops an elegant unified theory for a quantitative response that includes the estimation of model parameters, hypothesis testing using analysis of variance, model selection, diagnostics on model assumptions, and prediction. Some classification methods for qualitative responses are then developed. This subject then considers computational techniques, including the EM algorithm. Bayes methods and Monte-Carlo methods are considered. The subject concludes by considering some unsupervised learning techniques.

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.
  • Be able to predict (or classify) qualitative responses.
  • Understand the underlying theory of Bayesian statistics.
  • Understand the underlying theory and be able to apply the EM algorithm in simple settings.
  • Be able to use a computer package to perform statistical computing and data analysis

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST90105 Methods of Mathematical Statistics
Semester 1
25

Corequisites

None

Non-allowed subjects

Code Name Teaching period Credit Points
MAST30025 Linear Statistical Models
Semester 1
12.5
MAST30027 Modern Applied Statistics
Semester 2
12.5

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

Assessment

Additional details

  • Four written assignments amounting to a total of up to 100 pages. 100pp ≈ 2000 words, due during regular intervals during the semester (5% each, 20% total)
  • 3 hour written examination, due week 7 (35%)
  • 45 minute computer labratory test, due end of semester (10%)
  • 3 hour written examination (35%)

Dates & times

  • Semester 2
    Principal coordinatorMingming Gong
    Mode of deliveryOn Campus — Parkville
    Contact hours4 x one hour lectures per week, 1 x one hour practice class per week, and 1 x one hour computer laboratory class per week
    Total time commitment340 hours
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

Time commitment details

340 hours

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • 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: 29 August 2019