Artificial Intelligence for Industry 4.0
Duration
- One Semester or equivalent
Contact hours
- 88 Hours
On-campus unit delivery combines face-to-face and digital learning.
2024 teaching periods
Hawthorn Higher Ed. Semester 2 |
Hawthorn Higher Ed. Semester 2 | |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Aims and objectives
The purpose of this unit is to introduce students to the industrial applications of artificial intelligence, with a focus on machine learning. Students will gain an understanding of the business, societal and industrial benefits of AI. They will learn techniques to model and manage data using contemporary technologies and apply statistical techniques to evaluate the output.
Unit Learning Outcomes | |
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On successful completion of this unit students will be able to: | |
# | Unit Learning Outcome Description |
ULO1 | Demonstrate an understanding of problem-solving using programming skills. |
ULO2 | Demonstrate an understanding of artificial intelligence concepts and the practical applications |
ULO3 | Apply basic principles, models and algorithms in artificial intelligence to solve problems in Industry 4.0 contexts |
ULO4 | Identify real-world problems and select the most appropriate artificial intelligence method to solve the problem |
ULO5 | Examine ethical issues which arise when artificial intelligence is applied. |
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
All Applicable Locations | |||||
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Activity Type | Activity | Total Hours | Number of Weeks | Hours Per Week | Optional - Activity Details |
Face to Face Contact | Laboratory | 44 | 11 weeks | 4 | This unit may also be delivered in the Advanced Manufacturing Higher Apprenticeship Mode. • Face-to-face: 40 Hours (8 hrs * 5 Days/1 Week) • Online Contact: 30 Hours (3hrs per week * 10 Weeks) • Unspecified Learning Activities: 20 Hours (2hrs per week * 10 Weeks) • Workplace-Based Learning: 60 Hours (6hrs per week * 10 Weeks) |
Face to Face Contact | Laboratory | 44 | 11 weeks | 4 | |
Placement | Placement | 8 | 1 week | 8 | |
Online | Directed Online Learning and Independent Learning | 4 | 1 week | 4 | |
Unspecified Learning Activities | Individual Study | 50 | 1 week | 50 | |
Total Hours: | 150 | Total Hours (per week): | 70 |
Industry Engagement
This unit has mandatory placement requirements
Assessment
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Content
- Introduction to Programming Principles (e.g. Python,XML, SQL, R)
- Introduction to Machine Learning and AI
- Supervised & Unsupervised Learning
- Regression analysis
- Probability and Statistics
- AI/ML Development Tools Analytics
- Applications of AI in Advanced Manufacturing
- Benefits and Risks of AI implementation
Study resources
- References.
References
A list of reading materials and/or required texts will be made available in the Unit Outline.