Artificial Intelligence and Insights

INF80051 12.5 Credit Points Hawthorn

Contact hours

  • 36

2020 teaching periods

Hawthorn

HB6  HE Block 6

Dates:
24 Aug 20 - 4 Oct 20

Results:
3 Nov 20

Last self enrolment:
24 Aug 20

Census:
4 Sep 20

Last withdraw without fail:
18 Sep 20


Aims and objectives

 New unit - offered from 2020
 
This unit develops and enhances students’ conceptual and practical understanding of artificial intelligence (especially machine learning) in various contexts of financial services where artificial intelligence has emerged to play a crucial role. Students learn about fundamental concepts, key techniques and popular tools in machine learning and learn how machine learning is influencing financial services industries. Students also acquire the ability to apply machine learning techniques and tools to resolve issues and problems arising in financial services.
 
Students who successfully complete this unit will be able to:
1. Demonstrate advanced knowledge of fundamental concepts, key techniques and popular tools in machine learning
2. Critically evaluate the roles of machine learning in various contexts of financial services
3. Critically analyse, evaluate and apply appropriate machine learning techniques and tools to solve various financial service problems
4. Communicate effectively as a professional and function as an effective leader or member of a diverse team
 

Courses with unit

This unit is part of the Australian Graduate School of Entrepreneurship (AGSE) suite of courses.