Course Catalog - 2019-2020

     

COMP 340 - STATISTICAL MODELS FOR DS

Long Title: STATISTICAL MODELS AND ALGORITHMS FOR DATA SCIENCE
Department: Computer Science
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Credit Hours: 4
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): COMP 140 AND (MATH 212 OR MATH 222)
Description: The course is an intermediate level course in data science for students at the sophomore level with some experience in programming and background in mathematics (calculus). The course teaches students to “do” data science in Python using six modules to illustrate fundamental data science operations, data cleaning, model exploration, model formulation, model visualization, model communication. Recommended Prerequisite(s): COMP 182.