About this course

This course is an introductory course on data mining. It introduces the concepts, principles, methods, implementation techniques, and applications of data mining. The technical contents of the course are based on the text book ‘Data Mining: Concepts and Techniques (3rd edition)’. In this course, main themes covered in the textbook will be covered, including (1) data preprocessing and preparation, (2) frequent patterns and association rule mining, (3) classification, and (4) classification.

 Course Structure

• Introduction to Course
• Preprocessing and Data cleaning
• Frequent patterns and association rule mining
• Classification
• Clustering
• Seminars
•  

Grading

• Group Assignments (3 points in total)
  • 3-4 hours per homework
  • ≈ 15 hours in total
• Projects (5 points)
  • ≈ 50 hours

• Seminar (2 points)

• • ≈ 15 hours
• Online quizzes (7 points in total)
• Final exam (3 points)
• Active participation in the class (up to 2 extra points)