Deep Learning for Business (BSAN3212)
Information valid for Semester 2, 2023
Course level
Undergraduate
Faculty
School
Business School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Seminar 3 Hours/ Week
Incompatible
BISM3212
Prerequisite
(BISM2201 + 2204) or (BSAN2201 + 2204)
Course enquiries
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Businesses are increasingly finding application of artificial intelligence (AI) to their business processes, offerings, and strategies. Application areas include content recommendation and fraud detection systems, image detection and object classification, personalisation, and self-driving cars. Recent developments in artificial neural networks - referred to as "deep learning" - have made these applications possible. This course provides students with an in-depth exposure to the theory and models of deep learning, with an emphasis on artificial neural networks. These developments extend and greatly improve the predictive accuracy of the traditional machine learning models of predictive analytics. Furthermore, the course provides instruction on software for implementing deep learning models with reference to business and wider applications.
Archived offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | St Lucia | In Person | Course Profile |
Semester 2, 2023 (24/07/2023 - 18/11/2023) | St Lucia | In Person | Course Profile |
Semester 2, 2023 (24/07/2023 - 18/11/2023) | External | External | Course Profile |