For a better viewing experience, please consider updating your browser.

Please upgrade your browser for a better viewing experience.

You are currently using a browser that we no longer support.
Our website features components that only modern browsers support. To ensure that you receive the best experience while visiting the Robert Morris University website, please upgrade your browser to one of our recommended browsers below.

Google Chrome     Firefox     Internet Explorer
Please note: If you are using a version of Internet Explorer greater than IE 7, please ensure that the compatibility mode of your browser is turned off and/or that the document mode is set higher than IE 7.

What we support for Windows: Google Chrome, Mozilla Firefox, Internet Explorer 9+. Find out more about your browser.

Course Descriptions for the Computer & Information Systems Department

DISC9110 - Data Warehousing
Spring 2013 Doctoral

provides an introduction to, strategies for, and applications of data mining, also known as knowledge discovery in databases. Data mining, "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data," uses machine learning, statistical and visualization techniques to discover and present knowledge in a form which is easily comprehensible to humans. The course focuses on the analysis of data and the use of software techniques for finding patterns and regularities in sets of data. In particular, the course emphasizes data mining analysis which works from the data up and employs the best techniques developed with an orientation towards large volumes of data, making use of as much of the collected data as possible to arrive at reliable conclusions and decisions. The analysis process starts with a set of data, uses a methodology to develop an optimal representation of the structure of the data during which time knowledge is acquired. Once knowledge has been acquired in a particular field, students will extend this knowledge to larger sets of data working on the assumption that the larger data set has a structure similar to the sample data. Applications will be across the fields relevant to students careers and interests. 3 Credits.
3 Credits

Schedule Book Tools
Start a New Search
Revise Search Options
Registration Planner
Don't Miss the Details
Click "Details" for a course description, instructor information, and a link to the instructor's website, where you can find a syllabus, first class information, and more...


Day Codes
 M  Monday
 T  Tuesday
 W  Wednesday
 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with DISC9110
DISC9110-A Data Warehousing
APPT     Credits: 3 Days: APPT
Add  Add to Planner     Location: Moon Room: Wheatley Center 112
    Time: - Instructor: Kovacs
    Session: 3 (01/05 - 05/02/15) Term: Spring 2015: Doctora
            More Info!


6001 University Blvd. Moon Township, PA15108 800-762-0097 © 1995 – 2011 Robert Morris University. All rights reserved.