Beginning this fall, Yale students will no longer be able to waive a prerequisite course for “Data Systems and Programming Techniques,” or CPSC 2230, via an exam. Instead, all students wishing to take ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

An introduction to programming using MATLAB. Topics include MATLAB interactive environment, programming basics, MATLAB scripts, functions, vectors, matrices, data analysis, and graphic visualization.

The department offers a variety of introductory courses that are appropriate for students of all backgrounds. Most students interested in Computer Science start with one of the following courses, all ...

Professors: Ruth E. Davis, Yi Fang, Silvia M. B. Figueira (Regis and Dianne McKenna Professor and Department Chair), Nam Ling (Wilmot J. Nicholson Family Professor) Bachelor of Science in Computer ...

Computer Science prepares students to lead in a world experiencing sweeping technological change. Students choosing to major in computer science can look forward to a career in one of the many fields ...

Saint Louis University's computer science minor to bioinformatics and computational biology M.S. accelerated program allows a SLU student to complete both a minor in computer science and a Master of ...

This course provides an introduction to Kernel programming for the Linux operating system, and the development of Linux kernel drivers for Embedded devices. The Yocto build system is introduced, which ...

This course is compulsory on the MSc in Applied Social Data Science. This course is available on the CEMS Exchange, MPA in Data Science for Public Policy, MSc in Data Science, MSc in Gender, ...

This course covers the basic knowledge in understanding and using cryptography. The main focus is on definitions, theoretical foundations, and rigorous proofs of security, with some programming ...

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...