COMP SCI 7306 - Mining Big Data
| Career: | Postgraduate Coursework |
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| Units: | 3 |
| Term: | 4233 |
| Campus: | North Terrace |
| Contact: | Up to 3 hours per week |
| Available for Study Abroad and Exchange: | Yes |
| Available for Non-Award Study: | No |
| Pre-Requisite: | COMP SCI 7211 or COMP SCI 7201 or COMP SCI 7202 |
| Assumed Knowledge: | MATH 7027, (COMP SCI 7317 or COMP SCI 7327 or MATH 7107), Calculus, Linear Algebra, Probability and Statistics, Python programming, Basics of Machine Learning. |
| Incompatible: | COMP SCI 7606, COMP SCI 7403, COMP SCI 7306MELB |
| Assessment: | Quizzes, assignments |
| Syllabus: |
The Web and Internet Commerce provide extremely large datasets from which important information can be extracted by data mining. This course will cover practical algorithms for solving key problems in mining of massive datasets. It focuses on parallel algorithmic techniques that are used for large datasets in the area of cloud computing. Furthermore, stream processing algorithms for data streams that arrive constantly, page ranking algorithms for web search, and online advertisement systems are studied in detail. |
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 |
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| 4233 | Mon 14/02/2022 | Thu 17/02/2022 | Fri 01/04/2022 | Wed 27/04/2022 |
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Class Details
| Enrolment Class: Lecture | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 30392 | LE01 | 50 | 15 | 31 Jan - 9 May | Monday | 12pm - 1pm | MyUni, OL, Online Class | 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 |
| 30393 | WR01 | 50 | 15 | 31 Jan - 9 May | Monday | 2pm - 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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