MATH 2009 Introduction to Data Science
Credit Points 10
Legacy Code 301033
Coordinator Liwan Liyanage Opens in new window
Description This subject is replaced by equivalent subject COMP 2025 Introduction to Data Science from 2022. Analysis of data is essential for scientific investigation, modelling processes and predicting future events. Data Science is the investigation of the tools required that allow us to perform this modelling and prediction. The increase in accessible data over the past few decades has promoted the use of Data Science, making it a desired skill in many professions. In this subject we further investigate the methods of regression, clustering and classification that form the basis of a data scientist's toolbox.
School Computer, Data & Math Sciences
Discipline Computer Science, Not Elsewhere Classified.
Student Contribution Band HECS Band 2 10cp
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Level Undergraduate Level 2 subject
Pre-requisite(s) For students NOT enrolled in 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science - MATH 1028 Statistical Decision Making or MATH 1003 Biometry or MATH 1030 Statistics for Business
Co-requisite(s) For students enrolled in 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science - MATH 1033 Thinking About Data
- Discuss the issues (computational and social) in data science.
- Choose and apply appropriate data analysis methods for a given set of data.
- Define the assumptions required behind each data analysis model.
- Choose and apply appropriate evaluation methods to computed models to gain insight into the effectiveness of the models.
- Use computer software (R ) to achieve the above.
- Introduction to Data Science
- Tree-based methods
- Clustering and unsupervised learning
- High dimensional data sets
- Visualisation of model performance
- Data science ethics
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
|Multiple Choice||10 min per quiz||20||N||Individual|
|Numerical Problem Solving||to consist of 10 or so pages of text, not including code and output||30||N||Individual|
|Viva Voce||15 min per student||10||Y||Individual|
|Numerical Problem Solving||to consist of 10 or so pages of text, not including code and output||40||N||Individual|