COSC 426 - Intro to Data Mining/Analytics

Institution:

The University of Tennessee - Knoxville

Subject:

Computer Science

Description:

Modern data science methods, tools of the trade, real-world data sets, and leveraging the power of high performance and cloud resources to extract insights from data. Upon completing the course, students will learn to create reproducible and explanatory data science workflows, to implement parallel clustering methods, to address imperfections in real-world datasets, and to extract insights from a high-dimensional dataset.(RE) Prerequisites: COSC 302 or COSC 307 with a grade of C or better; MATH 251 or MATH 257 with a grade of C or better; and ECE 313 or ECE317 or MATH 323 with a grade of C or better. Comment(s): Prior knowledge may satisfy prerequisites with consent of instructor.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.tennessee.edu

Phone Number:

(865) 974-1000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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