Knowledge Discovery in Databases II

Course Number: 
MIS 638

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.

Download Syllabus

Credit Hours: 
3.00