Hello First-Years!
Computer Science has recently added an additional section of COMS BC1016 (Introduction to Computational Thinking and Data Science), along with two new sections of its co-requisite lab COMS BC1017.
This course and lab introduces students to the methods and tools used in data science to obtain insights from data. Students learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course involves 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.
The new COMS BC1016 section is MW 1:10PM - 2:25PM, and there are four lab sections that still have space. Students in any lecture section can sign up for any lab section.
The class counts as a science (lecture, not lab), for the Thinking Digitally and Technologically requirement, and for the Thinking Quantitatively and Empirically. It does not count for the Computer Science major, but prospective Computer Science majors can take the course as a pre-intro class before they take COMS W1004 Introduction to Computer Programming if they wish.
If you have any further questions, please be in touch with Professor Rebecca Wright at rwright@barnard.edu
