3 Classes (36 Units)

6.012 (12), 6.02 (12), 18.06 (12)

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6.012 Nanoelectronics and Computing Systems

Class Info

Studies interaction between materials, semiconductor physics, electronic devices, and computing systems. Develops intuition of how transistors operate. Topics range from introductory semiconductor physics to modern state-of-the-art nano-scale devices. Considers how innovations in devices have driven historical progress in computing, and explores ideas for further improvements in devices and computing. Students apply material to understand how building improved computing systems requires knowledge of devices, and how making the correct device requires knowledge of computing systems. Includes a design project for practical application of concepts, and labs for experience building silicon transistors and devices.

This class has 6.002 as a prerequisite.

6.012 will be offered this semester (Spring 2019). It is instructed by A. I. Akinwande, J. Kong, T. Palacios and M. Shulaker.

Lecture occurs 11:00 AM to 12:00 PM on Tuesdays and Thursdays in 32-144.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.012 - Google Search site or on the 6.012 Stellar site.

MIT 6.012 Nanoelectronics and Computing Systems Related Textbooks
MIT 6.012 Nanoelectronics and Computing Systems On The Web

6.02 Introduction to EECS via Communication Networks

Class Info

Studies key concepts, systems, and algorithms to reliably communicate data in settings ranging from the cellular phone network and the Internet to deep space. Weekly laboratory experiments explore these areas in depth. Topics presented in three modules - bits, signals, and packets - spanning the multiple layers of a communication system. Bits module includes information, entropy, data compression algorithms, and error correction with block and convolutional codes. Signals module includes modeling physical channels and noise, signal design, filtering and detection, modulation, and frequency-division multiplexing. Packets module includes switching and queuing principles, media access control, routing protocols, and data transport protocols.

This class has 6.0001 as a prerequisite.

6.02 will not be offered this semester. It will be available in the Fall semester, and will be instructed by H. Balakrishnan and K. LaCurts.

Lecture occurs 2:00 PM to 3:00 PM on Mondays and Wednesdays in 4-370.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.02 - Google Search site.

MIT 6.02 Introduction to EECS via Communication Networks Related Textbooks
MIT 6.02 Introduction to EECS via Communication Networks On The Web

18.06 Linear Algebra

Class Info

Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, singular value decomposition, and positive definite matrices. Applications to least-squares approximations, stability of differential equations, networks, Fourier transforms, and Markov processes. Uses linear algebra software. Compared with 18.700, more emphasis on matrix algorithms and many applications.

This class has 18.02 as a prerequisite.

18.06 will be offered this semester (Spring 2019). It is instructed by S. G. Johnson and A. Edelman.

Lecture occurs 11:00 AM to 12:00 PM on Mondays, Wednesdays and Fridays in 10-250.

This class counts for a total of 12 credits.

You can find more information at the MIT + 18.06 - Google Search site or on the 18.06 Stellar site.

MIT 18.06 Linear Algebra Related Textbooks
MIT 18.06 Linear Algebra On The Web
MIT + 18.06 - Google Search

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