Course overview
The aim of this course is to provide students with proficiency in applying advanced data analysis techniques to solve complex engineering and research problems, enabling them to make informed decisions and optimise engineering and research processes.
- Descriptive Statistics and Visualisation
- Hypothesis Tests and Regression
- Predictive Analysis
Course learning outcomes
- Critically review data requirements, ethics implications, and data management strategies for real life engineering problems and research projects.
- Design and interpret exploratory data models and analysis.
- Identify and apply appropriate data processing methods and statistical analysis models for hypotheses testing on real life engineering and research datasets.
- Critically review, present, and report on the results of data analysis.
- Identify and interpret modern data analytics techniques for decision support in research and engineering applications.
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