COMP SCI 7314 - Introduction to Statistical Machine Learning
| Career: | Postgraduate Coursework |
|---|---|
| Units: | 3 |
| Term: | 4336 |
| Campus: | North Terrace |
| Contact: | up to 3 hours per week |
| Restriction: | Grad Cert, Grad Dip and M. Cyber Security, Grad Cert, Grad Dip and M Data Science, Grad Cert, Grad Dip and M Artif Intell & Machine Learning, Grad Cert, Grad Dip and M Computer Science, M. Comp&Innov; M Comp Science are exempted from thepre-requisites |
| Available for Study Abroad and Exchange: | No |
| Available for Non-Award Study: | No |
| Pre-Requisite: | (COMP SCI 7210 and COMP SCI 7211) or COMP SCI 7201 or COMP SCI7202; M Computer Science students are exempted from this pre-requisite requirement. |
| Assumed Knowledge: | MATH 7027 and (COMP SCI 7317 or COMP SCI 7327 or MATH 7107) |
| Assessment: | Assignments and/or quizzes and/or written exam |
| Syllabus: |
This is an introductory course on statistical machine learning that will present you with an overview of several essential principles, popular techniques, and algorithms in statistical machine learning, as well as examples of their applications. You will build skills in developing algorithms using basic machine learning principles and theory. After completing this course, you will understand how, why and when machine learning can be utilised in real-world situations. |
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 | |||
|---|---|---|---|
| 0.125 | |||
 |
 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
|
|
Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
|---|---|---|---|---|
| 4336 | Mon 05/06/2023 | Thu 08/06/2023 | Fri 21/07/2023 | Wed 16/08/2023 |
|
|
Class Details
| Enrolment Class: Seminar | |||||||
|---|---|---|---|---|---|---|---|
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33004 | SE01 | 102 | 10 | 24 May - 16 Aug | Wednesday | 2pm - 4pm | Benham, G10, Benham Lecture Theatre | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. |
| Related Class: Workshop | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33071 | WR01 | 71 | 6 | 9 Jun - 9 Jun | Friday | 4pm - 5pm | Barr Smith South, 2032, Teaching Room |
| 30 Jun - 30 Jun | Friday | 4pm - 5pm | Barr Smith South, 2032, Teaching Room | ||||
| 21 Jul - 21 Jul | Friday | 4pm - 5pm | Barr Smith South, 2032, Teaching Room | ||||
| 11 Aug - 11 Aug | Friday | 4pm - 5pm | Barr Smith South, 2032, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| 33355 | WR02 | 65 | 38 | 9 Jun - 9 Jun | Friday | 5pm - 6pm | Barr Smith South, 1063, Teaching Room |
| 30 Jun - 30 Jun | Friday | 5pm - 6pm | Barr Smith South, 1063, Teaching Room | ||||
| 21 Jul - 21 Jul | Friday | 5pm - 6pm | Barr Smith South, 1063, Teaching Room | ||||
| 11 Aug - 11 Aug | Friday | 5pm - 6pm | Barr Smith South, 1063, Teaching Room | ||||
|
|