Mit eecs

Electrical engineers and computer scientists are everywhere—in industry and research areas as diverse as computer and communication networks, electronic circuits and systems, lasers and photonics, semiconductor and solid-state devices, nanoelectronics, biomedical engineering, computational biology, mit eecs, artificial intelligence, robotics, design and manufacturing, control and optimization, computer algorithms, games and graphics, software engineering, computer architecture, cryptography and computer security, power and energy systems, financial analysis, and many more. The infrastructure and fabric of the information age, including technologies such as the internet and the web, search engines, cell mit eecs, high-definition television, and magnetic resonance imaging, are largely the result of innovations in electrical engineering and computer science. Current work in mit eecs department holds promise of continuing this record of innovation and leadership, in both research and education, across the full spectrum of departmental activity. The career paths and opportunities for EECS graduates cover a wide range and continue to grow: fundamental technologies, devices, and systems based on electrical engineering and computer science are pervasive and essential to improving the lives of people around the world and managing the environments they live in.

Each year, EECS prepares over graduate and undergraduate students to become leaders in diverse career fields such as academia, biomedical technology, finance, consulting, law, nanotechnology and more. News and World Reports and is known globally for its world-class faculty creating the best possible education, which is based on their innovative and award winning research. The nature of interdisciplinary and collaborative thinking demonstrated by EECS faculty members cuts across these labs, reaching across MIT and into industry and academia worldwide. Did you find this article helpful? Yes No.

Mit eecs

Skip to main content. Search form Search. Request a Change. Street Address. Mailing Address. Department Head. Key Contacts. Joel Voldman. Arvind Arvind. Antonio Torralba. Administrative Assistant DH - prof. Rachel Wright.

Prereq: Permission of department G Fall Not offered regularly; consult department units. Covers physics of microelectronic semiconductor devices for integrated circuit applications.

Introduction to computer science and programming for students with little or no programming experience. Students develop skills to program and use computational techniques to solve problems. Topics include the notion of computation, Python, simple algorithms and data structures, testing and debugging, and algorithmic complexity. Combination of 6. Final given in the seventh week of the term. Prereq: 6.

Electrical engineers and computer scientists are everywhere—in industry and research areas as diverse as computer and communication networks, electronic circuits and systems, lasers and photonics, semiconductor and solid-state devices, nanoelectronics, biomedical engineering, computational biology, artificial intelligence, robotics, design and manufacturing, control and optimization, computer algorithms, games and graphics, software engineering, computer architecture, cryptography and computer security, power and energy systems, financial analysis, and many more. The infrastructure and fabric of the information age, including technologies such as the internet and the web, search engines, cell phones, high-definition television, and magnetic resonance imaging, are largely the result of innovations in electrical engineering and computer science. Current work in the department holds promise of continuing this record of innovation and leadership, in both research and education, across the full spectrum of departmental activity. The career paths and opportunities for EECS graduates cover a wide range and continue to grow: fundamental technologies, devices, and systems based on electrical engineering and computer science are pervasive and essential to improving the lives of people around the world and managing the environments they live in. The basis for the success of EECS graduates is a deep education in engineering principles, built on mathematical, computational, physical, and life sciences, and exercised with practical applications and project experiences in a wide range of areas.

Mit eecs

The largest academic department at MIT, EECS offers a comprehensive range of degree programs, featuring expert faculty, state-of-the-art equipment and resources, and a hands-on educational philosophy that prioritizes playful, inventive experimentation. The interdisciplinary space between those three units creates fertile ground for technological innovation and discovery, and many of our students go on to start companies, conduct groundbreaking research, and teach the next generation of computer scientists, electrical engineers, computer scientists and engineers and AI engineers. Please go to the MIT Admissions website for all questions regarding undergraduate admissions. You may also schedule campus visits and tours there. Also: Read the student blogs! MEng program. Minor in Computer Science. Resources for current students. Program objectives and accreditation.

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Students work in teams on self-proposed maker-style design projects with a focus on fostering creativity, teamwork, and debugging skills. Provides instruction in building cutting-edge interactive technologies, explains the underlying engineering concepts, and shows how those technologies evolved over time. The course reviews and introduces mathematical methods and techniques, which are fundamental in optics and photonics, but also useful in many other engineering specialties. Static models of random graphs, preferential attachment, and other graph evolution models. Instruction in effective undergraduate research, including choosing and developing a research topic, surveying previous work and publications, research topics in EECS and the School of Engineering, industry best practices, design for robustness, technical presentation, authorship and collaboration, and ethics. Provides instruction in aspects of effective technical oral presentations and exposure to communication skills useful in a workplace setting. Projects involve design, implementation, and presentation in an environment similar to that of industry engineering design teams. Introduces fundamental methods and techniques needed for independent research in advanced optics and photonics, but useful in many other engineering and physics disciplines. Same subject as STS. Basic principles and algorithms for processing both deterministic and random signals. The System Design and Management SDM program is a partnership among industry, government, and the university for educating technically grounded leaders of 21st-century enterprises.

Within the Department, Agrawal has developed the classes 6. Chen is a principal investigator in the Research Laboratory of Electronics RLE , where his work focuses on developing multifunctional and multimodal insect-scale robots.

Subject meets with See description under subject 2. Applications drawn from social, economic, natural, and infrastructure networks, as well as networked decision systems such as sensor networks. Finite-state Markov chains. Topics include coordinated and distributed modeling and control methods for efficient and reliable power generation, delivery, and consumption; data-enabled algorithms for integrating clean intermittent resources, storage, and flexible demand, including electric vehicles; examples of network congestion management, frequency, and voltage control in electrical grids at various scales; and design and operation of supporting markets. Required for Course 6 MEng students to gain professional experience in electrical engineering or computer science through an internship industry, government, or academic of 4 or more weeks in IAP or summer. Static data structures; compact arrays; rank and select. Corrigan-Gibbs, S. Students taking the graduate version complete additional assignments. Includes a single, semester-long design project. Extensions to include operational amplifiers and transducers. McGonagle, R. Includes problem sets, laboratory exercises, and open-ended term project. Geometric algorithms: convex hulls, linear programming in fixed or arbitrary dimension. Topics include: specification and verification, concurrent algorithms, synchronization, naming, Networking, replication techniques including distributed cache management , and principles and algorithms for achieving reliability.