CS 4580 - Data Science Algorithms

Institution:

Weber State University

Subject:

Computer Science

Description:

This course introduces students to practical algorithms and solutions applied to modern data science problems, utilizing the most recent tools for analyzing large datasets The data management, storage, and manipulation common in data science are taught along with applied machine learning and statistics. Topics include, but are not limited to, the following: data wrangling, feature reduction, data visualization, descriptive and inferential statistics, applied statistical models, applied machine learning, prediction algorithms, and forecasting.

Credits:

4.00

Credit Hours:

Prerequisites:

CS 1400 and CS 2420 and CS 2550 and MATH 1040 and MATH 1120 and MATH 1160 and MATH 3410 and QUAN 2600

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.weber.edu

Phone Number:

(801) 626-6000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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