MATHS 7107 - Data Taming
| Career: | Postgraduate Coursework |
|---|---|
| Units: | 3 |
| Term: | 4336 |
| Campus: | North Terrace |
| Contact: | Up to 3 hours per week |
| Restriction: | Not available to students in the MMaSc |
| Available for Study Abroad and Exchange: | No |
| Available for Non-Award Study: | No |
| Assessment: | Ongoing assessment |
| Syllabus: |
This course is a practical introduction to the practice of wrangling, finding relationships in, and making predictions from, messy datasets using statistical methods. The course introduces the principles of tidy data, types of data and data formats, exploratory data analysis, data transformation, as well as model fitting and prediction using statistical machine learning tools. A focus will be to introduce R programming for data science applications, particularly through real-world case studies. |
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: Workshop | |||||||
|---|---|---|---|---|---|---|---|
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33091 | WR01 | 44 | 1 | 23 May - 15 Aug | Tuesday | 9am - 10am | Schulz, 214, Teaching Room |
| Related Class: Computer Exercise | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33089 | CO01 | 44 | 1 | 30 May - 30 May | Tuesday | 10am - 11am | Schulz, 214, Teaching Room |
| 13 Jun - 13 Jun | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 27 Jun - 27 Jun | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 11 Jul - 11 Jul | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 25 Jul - 25 Jul | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 8 Aug - 8 Aug | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| Related Class: Tutorial | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 33090 | TU01 | 44 | 1 | 23 May - 23 May | Tuesday | 10am - 11am | Schulz, 214, Teaching Room |
| 6 Jun - 6 Jun | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 20 Jun - 20 Jun | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 4 Jul - 4 Jul | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 18 Jul - 18 Jul | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 1 Aug - 1 Aug | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
| 15 Aug - 15 Aug | Tuesday | 10am - 11am | Schulz, 214, Teaching Room | ||||
|
|