Mit eecs curriculum . The EECS Information System (EECSIS) is a collection of web pages and scripts to support students, faculty, and headquarters staff. § indicates web pages requiring authentication via Touchstone. Our flexible curriculum and inventive, hands-on approach to coursework gives students a holistic view of the field, an understanding of how to solve problems, and a focus on modeling and abstraction that prepares them for success in a wide range of fields, from research to industry and beyond. You can read our FAQ World-renowned for both rigor and innovation, EECS is the largest undergraduate program at MIT. Archive of Who's Teaching What and catalog updates by term. General Information. Along with that change, we will retire the existing 6-1 Electrical Science and Engineering degree program, so that we end up with a single EE degree program. Computer Science and Molecular Biology (Course 6- 7) Electrical Engineering with Computing (Course 6- 5) Urban Science and Planning with Computer Science (SB, Course 11- 6) Electrical Engineering and Computer Science (MEng) Computer Science and Molecular Biology (MEng) Health Sciences and Technology Jun 6, 2025 · Covering the full range of computer, information and energy systems, EECS brings the world’s most brilliant faculty and students together to innovate and explore. Curriculum Overview. Bachelor of Science in Electrical Engineering with Computing (Course 6-5) The Bachelor of Science in Electrical Engineering and Computing is for students whose interests range across all areas of electrical engineering, from analog circuit design to computer engineering to quantum engineering to communications. The majority of EECS majors begin with a choice of an introductory subject, exploring electrical engineering and computer science fundamentals by working on such concrete systems as robots, cell phone networks, medical devices, etc. The degree program has a required Starting in Fall 2024, our 6-2 Electrical Engineering and Computer Science degree program will be renamed and renumbered as 6-5 Electrical Engineering with Computing. From foundational hardware and software systems, to cutting-edge machine learning models and computational methods to address critical societal problems, our work changes the world. qoda immpi ezdmb rilr cbivi hyw tetpyl hyxibi uasqlru dwrxe

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