Data Mining for Technology Management 1

Course Description

The recent advances in the Internet and information technologies have resulted in an explosion of demand for “big data” analytics. The importance of data mining has already been recognized widely in the industry including many business areas, such as marketing science, financial analysis, and corporation management. In this course, we will be focusing on both key concepts and models in data mining and their implementations based on real-world data in business. The key objectives are two-fold: (1) to help students understand different data-driven predictive models and their applications in business, and (2) to provide students with necessary technical skills for a career in data analytics. At the end of the course, students are expected to understand fundamental skills to apply data mining techniques to their own fields in research and/or practice. The courses will be delivered as two modules. In the first module, we will focus on fundamental concepts of data mining and classification models. In the second module, we will discuss clustering, association analysis, outliner detection approaches, and the data mining applications business and management. 1.5 credits Grading Letter graded (A, A-, B+, etc.)

Code

TMP 554

Credits

1.5

Subject

TMP