Main field of study: Computer Engineering, Microdata Analysis
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Learning outcomes for the course
Upon completion of the course, the student shall be able to:
- Explain the basic concepts of data mining and pattern recognition
- Summarise and interpret data with the use of descriptive statistics.
- Explain the difference between regression techniques and classification techniques.
- Discuss data mining ethics.
- Understand how businesses extract extra value from data.
- Understand the difference between descriptive, predictive and prescriptive analytics.
- Describe research in the field beyond drawing from scientific papers.
- Show an ability to work with a given dataset and apply basic algorithms to extract information.