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Course Syllabus  Data Mining - 40-925 Credit: 3 Units Semester: 1 Group:  1 Lecture Class:  Sunday and Tuesday 1:30-3:00pm Room:  205  Text Book(s) 1- Data Mining Concepts and Techniques, Han and Kamber 2- Daniel T. Larose, Discovering knowledge in Data: An Introduction to Data Mining, Wiley, 2005. 3- D. J. Hand, H. Mannila, and P. Smyth, Principles of Data Mining, MIT Press, 2001. 4- Witten, Ian and Eibe Frank, Data Mining, Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 1999. 5- KDnuggets.com: News, Publications, Software, Solutions, … 6- Many papers and web resources, some will be posted on course web site.  Instructor Hassan Abolhassani   e-mail: abolhassani@sharif.edu  Teacher Assistants  Morteza Haghir Chehreghani,  e-mail: mortezachehr@yahoo.com  Mohsen Jamali,  e-mail: m_jamali@ce.sharif.edu  Hassan Sayyadi,  e-mail: sayyadi@ce.sharif.edu  Mahmod Neshati,  e-mail: neshati@ce.sharif.edu  Evaluation [Grading Policy ] Midterm: 4-6 points Final exam: 7-9 points Home-works: 2-4 points Projects: 2-4 points Research paper: 1-3 points

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Updated Sunday 2006-10-22 11:21