MIS 638 Knowledge Discovery in Databases II

This course will focus on Data Mining & Knowledge Discovery Methods and Models. We concentrate on both methods and applications. The course will begin with a n introduction to probability, statistics, and sampling techniques. Methodological and practical aspects of knowledge discovery tools and techniques including: Principle Components, Linear Regression, Logistic Regression, Naive Bayes Estimations and Bayesian Networks will be covered. Practical examples and case studies will be present throughout the course.




School of Business

Typically Offered Periods

Summer Session 1