CS 4580 - Data Science Algorithms

Credits: (4)
Typically Taught Summer Semester: Full Sem
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
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.
Pre-requisite(s): ((CS 1400 and CS 2550) or CS 2420) and (MATH 1040 or MATH 1120 or MATH 3410 or QUAN 2600) and (at least 60 hours of completed credits).