DSC 502 - Introduction to Computational Data Science II

Course Description: Concepts in computational data science. Topics include data cleaning; object-oriented programming; algorithm design and analysis; software engineering concepts; cloud computing; machine learning, data mining; and data visualization. Six lecture hours and two laboratory hours per week for each week of the half-semester session.

Credit Hours: 3

Corequisite Courses: DSC 512
Prerequisite Courses: None
Additional Restrictions/ Requirements: None
Course Repeatability Course may not be repeated

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

Click here for the Spring 2025 Class Schedule.