COMP SCI 4816 - Applied Machine Learning Honours
| Career: | Undergraduate |
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| Units: | 3 |
| Term: | Semester 2 |
| Campus: | North Terrace |
| Contact: | Up to 3 hours per week |
| Available for Study Abroad and Exchange: | No |
| Available for Non-Award Study: | No |
| Assumed Knowledge: | COMP SCI 7317 |
| Assessment: | Assignments; Group projects based. |
| Syllabus: |
This course surveys the practical application of machine learning in modern organisations and society. Case studies will be used to demonstrate current best practice as well as common pitfalls. You will learn processes for tool-selection based on requirements and available resources; verifying and validating discovered models and how to apply results in real environments; and information resources for tracking technological advances |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
| EFTSL | |||
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| 0.125 | |||
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Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
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Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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| Semester 2 | Mon 05/08/2024 | Wed 14/08/2024 | Fri 13/09/2024 | Fri 25/10/2024 |
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Class Details
| Enrolment Class: Lecture | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 20874 | LE01 | 15 | 5 | 25 Jul - 12 Sep | Thursday | 2pm - 4pm | Badger, G31, Macbeth Lecture Theatre |
| 3 Oct - 24 Oct | Thursday | 2pm - 4pm | Badger, G31, Macbeth Lecture Theatre | Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled. | |||
| Related Class: Workshop | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 20049 | WR02 | 5 | 3 | 2 Aug - 2 Aug | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room |
| 16 Aug - 16 Aug | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room | ||||
| 30 Aug - 30 Aug | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room | ||||
| 13 Sep - 13 Sep | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room | ||||
| 11 Oct - 11 Oct | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room | ||||
| 25 Oct - 25 Oct | Friday | 4pm - 5pm | Benham, G25, Peter Martin Room | ||||
| 20050 | WR01 | 5 | 2 | 1 Aug - 1 Aug | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room |
| 15 Aug - 15 Aug | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room | ||||
| 29 Aug - 29 Aug | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room | ||||
| 12 Sep - 12 Sep | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room | ||||
| 10 Oct - 10 Oct | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room | ||||
| 24 Oct - 24 Oct | Thursday | 1pm - 2pm | Barr Smith South, 2052, Teaching Room | ||||
| 20054 | WR03 | 5 | FULL | 1 Aug - 1 Aug | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room |
| 15 Aug - 15 Aug | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room | ||||
| 29 Aug - 29 Aug | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room | ||||
| 12 Sep - 12 Sep | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room | ||||
| 10 Oct - 10 Oct | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room | ||||
| 24 Oct - 24 Oct | Thursday | 5pm - 6pm | Barr Smith South, 2052, Teaching Room | ||||
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