IS 3571 Data Mining Applications 3.0 Credits
This course introduces the fundamental principles and practical applications of data mining and machine learning. Students explore the algorithmic foundations needed to transform raw data into actionable intelligence, focusing on information inference and knowledge discovery. Balancing theory with hands-on practice, the course covers the end-to-end discovery pipeline, from pre-processing and vectorization to the implementation of predictive and descriptive models. Application domains will include text, web, and time-series mining to prepare students with solutions for technical challenges in modern big data environments.
Repeat Status: Not repeatable for credit