This course provides a survey of data analysis and data mining techniques for finding patterns in data. It will emphasize, using data models, data gathering and storage, selection and preparing of data, model building and testing and interpreting and validating results.
If the student takes CPSC 405 for the undergraduate program, he/she can take CPSC 605 for additional credits.
Prerequisite: CPSC 323 (3 credits)
This course and its outcomes support the Computing Learning Outcomes of Problem Solving and Critical Thinking (PS&CT), and Ethical and Professional Responsibilities (E&PR). These Computing Learning Outcomes are tied directly to the University Wide Outcomes of Critical Thinking and Acting Ethically.
| Learning Outcomes | Course Objectives |
|---|---|
| PS & CT d. Implement computing solutions that consist of system and application software written in various programming languages | 1. Implement data modeling with Excel/Database. |
| PS & CT a. Formulate project requirements and alternative solutions appropriate to the computing problems | 2. Use models to implement data mining tasks. |
| 3. Discern when and what type of classification and clustering techniques should be employed. | |
| E & PR a. Determine the economic and organizational effects of information technology on global society | 4. Understand how database systems can be used for data warehousing. |