BC1016: Introduction to Computational Thinking | E. Black

Computer Science
Undergraduate Lecture
Tu Th 10:10-11:25AM or Tu Th 11:40AM-12:55PM

This course and its co-requisite lab course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. The course is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines.

No prior programming or college-level math background is required.

Link to Vergil
Note: only courses offered during the two previous semesters have active Vergil links. 

Please note: The Center does not administer the courses listed below and is not responsible for any changes in the content. For more information, please check the course directory or reach out directly to the instructor.