MATHS 7027 - Mathematical Foundations of Data Science
| Career: | Postgraduate Coursework |
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| Units: | 3 |
| Term: | Trimester 3 |
| Campus: | North Terrace |
| Contact: | Up to 5 hours per week |
| Restriction: | Not available to MMaSc students. |
| Available for Study Abroad and Exchange: | Yes |
| Available for Non-Award Study: | Yes |
| Assessment: | Exam, ongoing assessment |
| Syllabus: |
This course introduces fundamental mathematical concepts relevant to computer science and provides a basis for further postgraduate study in data science, statistical machine learning, and cybersecurity. Topics covered are probability: sets, counting, probability axioms, Bayes theorem; optimisation and calculus: differentiation, integration, functions of several variables, series approximations; linear algebra: vector and matrices, matrix algebra, vector spaces; discrete mathematics and statistics: linear regression, linear least squares, regularisation. Applications of the theory to data science and machine learning will be developed. |
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
| EFTSL | |||
|---|---|---|---|
| 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 |
|---|---|---|---|---|
| Trimester 3 | Mon 19/09/2022 | Wed 21/09/2022 | Fri 28/10/2022 | Wed 23/11/2022 |
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Class Details
| Enrolment Class: Workshop | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 36338 | WR01 | 40 | 29 | 5 Sep - 21 Nov | Monday | 1pm - 2pm | Marjoribanks, 126, SANTOS Lecture Theatre | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. |
| Related Class: Computer Exercise | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 36339 | CO03 | 30 | 27 | 8 Sep - 8 Sep | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite |
| 22 Sep - 22 Sep | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite | ||||
| 6 Oct - 6 Oct | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite | ||||
| 20 Oct - 20 Oct | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite | ||||
| 3 Nov - 3 Nov | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite | ||||
| 17 Nov - 17 Nov | Thursday | 5pm - 6pm | Ingkarni Wardli, 236, CAT Suite | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| 36340 | CO02 | 30 | 28 | 8 Sep - 8 Sep | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite |
| 22 Sep - 22 Sep | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 6 Oct - 6 Oct | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 20 Oct - 20 Oct | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 3 Nov - 3 Nov | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 17 Nov - 17 Nov | Thursday | 4pm - 5pm | Engineering & Mathematics, EM105, CAT Suite | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| 36341 | CO01 | 30 | 24 | 6 Sep - 6 Sep | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite |
| 20 Sep - 20 Sep | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 4 Oct - 4 Oct | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 18 Oct - 18 Oct | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 1 Nov - 1 Nov | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite | ||||
| 15 Nov - 15 Nov | Tuesday | 3pm - 4pm | Engineering & Mathematics, EM105, CAT Suite | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| Related Class: Tutorial | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 36342 | TU03 | 30 | 28 | 15 Sep - 15 Sep | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room |
| 29 Sep - 29 Sep | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 13 Oct - 13 Oct | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 27 Oct - 27 Oct | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 10 Nov - 10 Nov | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 24 Nov - 24 Nov | Thursday | 5pm - 6pm | Ingkarni Wardli, 232, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| 36343 | TU02 | 30 | 28 | 15 Sep - 15 Sep | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room |
| 29 Sep - 29 Sep | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 13 Oct - 13 Oct | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 27 Oct - 27 Oct | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 10 Nov - 10 Nov | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 24 Nov - 24 Nov | Thursday | 4pm - 5pm | Ingkarni Wardli, 232, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
| 36344 | TU01 | 30 | 23 | 13 Sep - 13 Sep | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room |
| 27 Sep - 27 Sep | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 11 Oct - 11 Oct | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 25 Oct - 25 Oct | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 8 Nov - 8 Nov | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room | ||||
| 22 Nov - 22 Nov | Tuesday | 3pm - 4pm | Ingkarni Wardli, 232, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
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