COSC 526 - Data Mining and Analytics

Institution:

The University of Tennessee - Knoxville

Subject:

Computer Science

Description:

Provides a practical introduction to big data mining and analytics, blending theory and practice. Over the course of the semester, students will become familiar with modern data science methods, gain comfort with the tools of the trade, explore real-world data sets, and leverage the power of high performance and cloud resources to extract insights from data. Upon completing the course, students will learn how to create reproducible and explanatory data science workflows, how to implement a modern MapReduce, and how to implement parallel clustering methods. Students will also study strategies for overcoming the common imperfections in real-world datasets, and apply their new skills to extract insights from a high-dimensional dataset.Recommended Background: Python Programming.

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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