MonMap
A course mapper by Monash Association of Coding (MAC)
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