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Electrical Engineering and Computer Science (EECS)
The EECS Department is one of the leading departments of its kind in the nation. Our excellence and impact comes through in the work of the two departmental divisions: Computer Science and Engineering and Electrical and Computer Engineering. In our unique structure, we have two Chairs, one for each division.
Computer Science and Engineering (CSE)
CSE is home of one of the oldest and most respected programs in computation. Research activities include foundational work in artificial intelligence, pervasive computing, computer systems, cybersecurity, quantum computing, human-centered computing, theoretical computer science, and beyond.
Electrical and Computer Engineering (ECE)
ECE faculty and students are powering innovation by revolutionizing technologies to improve healthcare, the environment, sustainability, security, energy, transportation and space. All ECE programs, undergraduate and graduate, are ranked in the top 10 in the nation.
EECS at Michigan
Established. Respected. Making a world of difference. EECS undergraduate and graduate degree programs are considered among the best in the country. Our research activities, which range from the nano- to the systems level, are supported by more than $75M in funding annually — a clear indication of the strength of our programs and our award-winning faculty. With this combination of great resources and talent, EECS at Michigan is transforming and improving a wide range of fields that touch all of our lives.
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Electrical & Computer Engineering
Graduate Programs
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News and Events
Computer Science & Engineering
Electrical & Computer Engineering
Tools for “more humane coding”
Prof. Cyrus Omar and PhD student David Moon describe their work to design more intuitive, interactive, and efficient coding environments that can help novices and professionals alike focus on the bigger picture without getting bogged down in bug fixing.Snail extinction mystery solved using miniature solar sensors
The World’s Smallest Computer, developed by Prof. David Blaauw, helped yield new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects.Events
News
AI for Science course bridges disciplines
A new course at U-M teaches students to integrate AI with scientific methods across various fields.
Electrical and Computer Engineering curriculum prepares students to join the AI revolution
As AI-related skills become more valuable in research and industry, ECE faculty weave these topics into courses spanning their educational journey.
Eleven papers by CSE researchers at ICLR 2025
CSE authors are presenting new research on topics related to deep learning, including spatial reasoning in vision-language models, data selection methods, and moral alignment in language models.