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Natural Language Processing and Generative AI unit (KIT719)

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Unit year 2027

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Location: Melbourne Study Centre, Ultimo Study Centre, Hobart

Introduction

This unit is designed to give students an insight into a range of natural language processing (NLP) and Generative AI (GenAI) techniques. NLP is a critical step towards effective communication between people and machines. You will learn the basics NLP steps as well as some advanced NLP patterns such as information extraction and text summarisation. This unit includes a number of Artificial Intelligence (AI) areas - classification and clustering, text mining, sentiment analysis, and the use of GenAI for NLP application domains. With the technologies discussed in the lectures, it brings together the state-of-the-art research and practical techniques in NLP, providing students with the knowledge and capacity to conduct NLP research and to develop NLP applications. Students are required to AI, GenAI and NLP tools to explore and specialise their understanding, and also required to use these technologies to develop a system for a NLP application.

Summary

Unit name Natural Language Processing and Generative AI
Unit code KIT719
Credit points 12.5
College/School Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator Doctor Quan Bai
Delivered By University of Tasmania
Level Postgraduate

Sustainable Development Goals

The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.

Availability

Location Study period Attendance options Available to
Melbourne Study Centre Semester 2 This unit is available through on-campus delivery Available to International Students
Ultimo Study Centre Semester 2 This unit is available through on-campus delivery Available to International Students
Hobart Semester 2 This unit is available through on-campus delivery Available to International Students Available to Domestic Students
  • Key:
  • This unit is available through on-campus delivery On-campus
  • This unit is available through off-campus delivery Off-Campus
  • Available to International Students International students
  • Available to Domestic Students Domestic students
Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Semester 2 05/07/2027 27/07/2027 30/08/2027 24/10/2027

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2027 are indicative and subject to change. Finalised census dates for 2027 will be available from the 1st October 2026. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Describe the principle of NLP processes, methods and the applications of NLP in real applications.
  • Explain the linkage between AI and NLP and be able to adopt suitable AI methods which can be embedded in NLP and text mining approaches.
  • Adopt methodologies, tools, research skills and techniques for the processing, analysing and mining of natural language data.
  • Analyse user needs and incorporate them into the selection, creation, adaption and evaluation of appropriate NLP and text mining methods to support decision making.

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
020119 $1,235.00 $1,235.00 not applicable
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

KIT509

Teaching

Teaching Pattern

On-Campus Melbourne and Sydney teaching arrangements may differ and will be advised by your teaching team.

On-Campus enrolments in Hobart: 

Weekly 1hr lecture

Weekly 2hr tutorial

Week 13 in-person test

For this unit, students are expected to attend lectures and on-campus lab classes and are expected to remain up-to-date with content which is delivered asynchronously on-line.

AssessmentWeekly tutorial tasks (20%)|Project 1 report (25%)|Project 2 report (25%)|In-person test (30%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

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