COMP 627

Neural Networks Applications

Course overview

You’ll be immersed in neural network fundamentals, looking at network architectures and learning methods and how to apply it.

Course information

Available semesters Semester 2 2023
Credits 20
Domestic fees $1,356.00

What you will learn

After successfully completing this course, you’ll be able to:

  1. Understand neural networks in depth
  2. Know conceptually how to apply neural network to solve a variety of complex problems through a thorough understanding of the subject.
  3.  Understand issues with data and complex problems
  4. Experiment with and apply a variety of popular neural networks and solve a range of problems using a neural network modelling environment.
  5. Do exploratory data visualisation, pre-processing and analysis, as well as perform neural networks model calibration and validation.

Course examiners

Sandhya Samarasinghe

Professor Sandhya Samarasinghe

Head of the Complex Systems, Big Data and Informatics Initiative

School of Landscape Architecture