Syllabus

Prerequisites:

For Stat 574 at the graduate level: Stat 532 or Stat 538 or Stat 571

For Stat 474 at the undergraduate level: Stat 471

Textbook:

Discovering Knowledge in Data: An Introduction to Data Mining
by Daniel T. Larose
© 2005, John Wiley and Sons
ISBN: 0-471-66657-2

Supplemental Text for Data Mining Software:

Getting Started with SAS Enterprise Miner 4.3
© 2004, SAS Institute Inc.
SAS PUBCODE: 59010
ISBN: 1-59047-231-4

Supplemental Text for using SAS for statistical analysis:

SAS System for Elementary Statistical Analysis
by Sandra D. Schlotzhauer & Ramon C. Littell
© 1997, SAS Institute Inc.
SAS PUBCODE: 55172
ISBN: 1-58025-018-1

Topics Covered

Data Sampling

Data Partitioning

·        Training Data Set

·        Validation Data Set

·        Test Data Set

Exploratory Data Analysis

·        Plots & Descriptive Statistics

·        Association Analysis

Data Preparation

·        Transformations

·        Outlier Identification

·        Missing Value Imputation

Cluster Analysis

Self-organizing Maps

Kohonen Networks

Predictive Modeling

·        Generalized Linear Models

·        Linear Regression

·        Logistic Regression

·        Decision Trees

·        Neural Networks

Model Assessment

Text Mining

Grading

Grading will be based on homework and several take-home projects. Each project and the combined homework assignments will have equal weight. Unexcused non-attendance of classes may reduce your final grade up to one letter.

Submitting Homework Assignments or Projects Late

All homework assignments and projects are take-home assignments, and are due on the date specified. With prior permission from me, you may turn in turn homework assignments and projects after the due date, and received full credit. Without prior permission from me, late assignments and projects will not be graded.

Academic Honesty

All homework assignments are take-home assignments, and students may work together or discuss these assignments. However, each student must submit his/her own own work which demonstrates the ability to complete the assignment independently.

All projects are take-home assignments, and all work on these projects must be independent. Working together on projects is not permitted.

Class Attendance

Several students have inquired about the possibility of not attending class, and instead viewing the recordings, while keeping up with the homework assignments and the projects. Here is my policy on this:

Stat 474/574 meets at regularly scheduled times. The only difference between this class and a traditional class is its online format. If this class was a traditional class taught in a classroom, and you had a conflict with another class you wish to take, you would be not be asking me this question. I expect ALL students to attend every scheduled class. If a situation arises where you cannot attend one or more classes, you may petition me to excuse you, and you can take advantage of the recording of the class to keep up with the material. However, you certainly do not have my permission to miss half of the classes, or all of the classes. If you have a conflict with another course, then you have to decide which class is more important to you. If, at the end of the semester, I discover that you have not attended classes for which you you were not formally excused, then you can be sure that I will adjust your grade down by up to one letter (e.g., A to B, B to C, etc.), regardless of your performance on the homework assignments and the projects.