Course overview
This course aims to provide students with a comprehensive understanding of time series data and the statistical methods required to analyse temporal patterns. Students will explore forecasting models such as ARIMA, exponential smoothing, and machine learning techniques tailored to time series data. They will gain practical experience in building models, evaluating their accuracy, and making data-driven decisions based on temporal trends. Furthermore, students will assess the ethical implications of time series data and forecast applications, ensuring they integrate responsible data practices when developing real-world solutions.
Course learning outcomes
- Apply fundamental time series analysis techniques to identify and model trends, seasonality, and noise within temporal data
- Develop and evaluate ARIMA, SARIMA, and exponential smoothing models for forecasting time series data
- Use machine learning models to forecast complex time series data and compare their performance to traditional methods
- Interpret and assess the accuracy of time series models using appropriate evaluation metrics
- Critically evaluate the ethical considerations in time series forecasting, ensuring responsible and unbiased applications of temporal models
Availability
Class details
Adelaide City Campus East
Class number 58110
Section FR01
Size 25
Available 25
Class number 59130
Section PR01
Size 30
Available 30
Class number 59129
Section PR02
Size 30
Available 30
Class number 59128
Section PR03
Size 30
Available 30
Class number 59127
Section PR04
Size 30
Available 30
Class number 59126
Section PR05
Size 30
Available 30
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.