Mini Map

Deep learning

FIT5215

Synopsis

Modern machine learning provides core underlying theory and techniques to data science and artificial intelligence. This unit is for you to develop practical knowledge of modern machine learning and deep learning and how they can be used in real-world settings such as image recognition or text clustering via neural embeddings. Learning activities will focus on designing machine learning systems, a broad landscape of supervised and unsupervised learning methods with a focus on modern deep learning knowledge for data analytics including deep neural networks, representation learning and embedding methods, and deep models used for time-series data which are rapidly used in science and industry.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
5
Audience
Postgraduate
Type
Coursework
School
Faculty of Information Technology
Handbook year
2026

Prerequisites (4)

What it unlocks (3)

Offerings (3)

  • First semesterSuzhou (SEU) · ON-CAMPUS
  • Second semesterMalaysia · ON-CAMPUS / Clayton · FLEXIBLE

Listed in 2 areas of study

  • Computational scienceElective units
  • Software engineeringSoftware engineering technical electives