Practical Engineering Data Mining: Techniques and Uses

This course delves into both the theoretical aspects and practical applications of data mining within the field of engineering. It provides a comprehensive review of the essential fundamentals and central concepts underpinning data mining. Additionally, it introduces pivotal data mining methodologies and offers a guide to executing these techniques through various algorithms. Students will be introduced to a range of data mining techniques, such as data preprocessing, the extraction of association rules, classification, prediction, clustering, and the exploration of complex data, and will implement a capstone project exploring the same. Additionally, we will use case studies to explore the application of data mining across diverse sectors, including but not limited to manufacturing, healthcare, medicine, business, and various service industries

• Review essential fundamentals and core concepts of data mining
• Apply various data mining techniques through algorithms
• Explore data mining applications across diverse industries via case studies
• Develop practical skills through a capstone project

• Basic familiarity with relevant terminology and concepts
• Willingness to engage in practical exercises and case studies