Applied Natural Language Processing

Postgraduate | 2026

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Area/Catalogue
COMP 5054
Course ID icon
Course ID
203325
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course examines machine learning techniques that obtain leading results on the problem of natural language processing (NLP). NLP is a critical step towards effective communication between people and machines. The course teaches how to represent words and text and use both classical and modern machine learning models and Generative AI for text understanding, prediction and generation. This will be reinforced by applying NLP tools to solve practical problems through examples, workshops and projects.

Course learning outcomes

  • Explain basic concepts and apply basic algorithms of Natural language processing
  • Use existing tools to conduct natural language processing, such as text normalization, named entity extraction, or syntactic parsing
  • Use machine learning tools to build solutions for natural language processing problems
  • Decompose a real-world problem into subproblems in natural language processing and identify potential solutions

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Problem Solving Task, Problem Solving Task, Multiple Choice Questions, Exam

Degree list
The following degrees include this course
Study Master of Computer Science at Adelaide University - Information for Domestic students