Artificial Intelligence and Insights
24 hours face to face + blended
Hawthorn
Available to incoming Study Abroad and Exchange students
Overview
This unit develops and enhances students’ conceptual and practical understanding of artificial intelligence (and in particular machine learning) in various business contexts where artificial intelligence has emerged to play a crucial role. Students learn about fundamental concepts, key techniques and popular tools in artificial intelligence and learn how it is influencing various businesses and industries. Students also acquire the ability to apply artificial intelligence techniques and tools to resolve issues and problems arising in different business contexts.
Requisites
Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Learning outcomes
Students who successfully complete this unit will be able to:
- Demonstrate advanced knowledge of fundamental concepts, key techniques and popular tools in machine learning
- Critically evaluate the roles of machine learning in various business contexts
- Critically analyse, evaluate and apply appropriate machine learning techniques and tools to solve various business problems
- Communicate effectively as a professional and function as an effective leader or member of a team
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| On-campus Class | 2.00 | 12 weeks | 24 |
| Online Lecture | 1.00 | 12 weeks | 12 |
| Unspecified Activities Independent Learning | 9.50 | 12 weeks | 114 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment | Individual | 20 - 30% | 1,2,3 |
| Case Presentation | Group | 40 - 60% | 1,2,3,4 |
| Report | Individual | 20 - 30% | 1,2 |
Content
- Foundations of artificial intelligence (especially machine learning)
- Machine learning applications in different business areas
- Key machine learning techniques: supervised, unsupervised and semi-supervised
- Popular machine learning tools and computing platforms
- Applications of machine learning to different business areas such as financial services, supply chain management, healthcare and telecommunication
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.