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Computer Science and Engineering (Course 6-3) Department of Electrical Engineering and Computer Science. Bachelor of Science in Computer Science and Engineering. General Institute Requirements (GIRs)
Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.
For MIT undergraduates, the Department of Electrical Engineering and Computer Science offers several programs leading to the Bachelor of Science.
MIT OpenCourseWare is an online publication of materials from over 2,500 MIT courses, freely sharing knowledge with learners and educators around the world. Learn more
These courses introduce principles of computer science and begin to develop programming skills, specifically in the Python language. Learn more about these courses’ learning goals, history and student experience in this MIT news article.
Course Description. 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their …
Computing majors are the largest at MIT. A joint venture between the Schwarzman College of Computing and the School of Engineering, the Department of Electrical Engineering and Computer Science (EECS) offers several undergraduate degree programs which satisfy a variety of interests.
MIT OpenCourseWare is an online publication of materials from over 2,500 MIT courses, freely sharing knowledge with learners and educators around the world. Learn more
Online professional education courses for technologists and executives with a focus on research trends, challenges and opportunities.
Computer Science. MITx: Introduction to Computer Science and Programming Using Python. 4.6 stars. 284 ratings. An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. Play Video. 9 weeks. 14–16 hours per week. Instructor-paced. Instructor-led on a course schedule. Free. Optional upgrade available.