Natural Language Processing (BUSA90543)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
May
FeesLook up fees

This component helps students develop an understanding of the key algorithms used in natural language processing and text retrieval, for use in a diverse range of applications including search engines, cross-language information retrieval, machine translation, text mining, question answering, summarisation, and grammar correction. Topics to be covered include text normalisation, sentence boundary detection, part-of-speech tagging, n-gram language modelling, sentiment analysis, web mining and analysis, network analysis (including social network analysis), and text classification.

Intended learning outcomes

On completion of this subject, students should be able to:

  • Develop and evaluate computational models of language.
  • Articulate issues relevant to the efficient implementation of language processing systems and text retrieval systems.
  • Apply natural language processing and information retrieval methodologies to textual data.

Last updated: 4 March 2025

Eligibility and requirements

Prerequisites

Pre-requisite

Code Name Teaching period Credit Points
BUSA90537 Coding for Business Problems
March (On Campus - Parkville)
 12.5

Corequisites


Non-allowed subjects


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: 4 March 2025

Assessment

DescriptionTimingPercentage

Syndicate Project (4 - 5 students per group)

  • 2500 words (each)
From Week 2 to Week 845%

Final Examination

  • 2 hours
Hurdle requirement: Students are required to pass the final examination to pass the subject		Week 955%

Last updated: 4 March 2025

Dates & times

  • May
    Mode of deliveryOn Campus (Parkville)
    Contact hours24 hours lecturing and 24 hours of tutorials
    Total time commitment170 hours
    Teaching period26 May 2025 to 18 July 2025
    Last self-enrol date 5 June 2025
    Census date13 June 2025
    Last date to withdraw without fail 4 July 2025
    Assessment period ends25 July 2025

What do these dates mean

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  • 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: 4 March 2025

Further information

  • Texts

    Prescribed texts

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

Last updated: 4 March 2025