COSC478-24S2 (C) Semester Two 2024

Special Topic

15 points

Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024


Special Topic


Course Aim
To provide students with an in-depth understanding of the applications of Generative Artificial Intelligence (GenAI) using Large Language Models (LLM) in a range of industries and the opportunity to critically evaluate the use of associated tools and develop a chat-bot for an industry of the student’s choosing.

Learning Outcomes

  • Critically evaluate the differences between generative artificial intelligence tools (focussing on Large Language Models).
  • Analyse and critically evaluate the application of GenAI tools across a range of industries, and from a range of perspectives including ethics, cultural and data sovereignty (focussing on Large Language Models).
  • Develop a chat-bot for use in a particular context.
  • Critique the academic literature relating to the use of generative artificial intelligence tools.


Subject to approval by Head of Department.

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 13:00 - 14:00 Ernest Rutherford 260
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 16:00 - 17:00 Jack Erskine 242
15 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator

Trevor Nesbit


Assessment Due Date Percentage  Description
Assignment 1 - Evaluation of Tools 15%
Research Report and Presentation 35%
Development of a Chat-Bot 20%
Final Exam 30% Final Exam

Indicative Fees

Domestic fee $1,110.00

International fee $5,275.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Computer Science and Software Engineering .

All COSC478 Occurrences

  • COSC478-24S2 (C) Semester Two 2024