MATHS 1005 - Critical Evaluation in Data Science
Career: | Undergraduate |
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Units: | 3 |
Term: | 4220 |
Campus: | North Terrace |
Contact: | Up to 3 hours per week |
Available for Study Abroad and Exchange: | Yes |
Available for Non-Award Study: | Yes |
Assessment: | Ongoing assessment |
Syllabus: |
In an increasingly data-centric world, a working understanding of data analytics and quantitative methods is essential, for all members of society. When presented with claims in the media that are accompanied by statistics, diagrams, and outputs from technologies like artificial intelligence and machine learning, how can we learn to separate useful information from pseudoscience? In other words, how can we learn to not be fooled by statistics? The aim of this course is to improve students' data literacy, through a largely non-technical introduction to some of the foundational concepts in statistical thinking. The course will teach students from all backgrounds how to interpret and critically appraise claims made by machine learning and quantitative data science methods, and understand both the possibilities and pitfalls of these emerging sciences. It assumes no technical background and is taught largely through case studies of applications of data science outside of academia. The course teaches some fundamental quantitative methods for dealing with and interpreting data, as well as visualisation techniques using computer software tools such as Tableau. Topics include: how to translate mathematical jargon into understandable language; measuring and talking about uncertainty using probability; how to easily make clear charts and data visualisations; demystifying fundamental statistical ideas (correlation versus causation, distinguishing between significant and important results); explaining and predicting with statistical models; the ethics of data science. |
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 |
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 |
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4220 | Mon 08/08/2022 | Wed 17/08/2022 | Fri 16/09/2022 | Fri 28/10/2022 |
Class Details
No classes available.