CS 4400 - Data Mining

Institution:

Utah Tech University

Subject:

Computer Science

Description:

This course explores the fundamental algorithms and statistics commonly used to extract patterns from large datasets. Students will practice discovering, cleaning, transforming, and exploring real datasets, actively applying the concepts discussed in the course using common programming tools. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Construct automated solutions to discover and extract patterns from large datasets. 2. Describe common data mining algorithms such as clustering and regression. 3. Apply strategies for large datasets such as streaming and sampling. Prerequisites: CS 2420 AND CS 2810 (Grade C or higher). FA

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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