3 Classes (36 Units)

5.12 (12), 6.01 (12), 18.06 (12)

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5.12 Organic Chemistry I

Class Info

Introduction to organic chemistry. Development of basic principles to understand the structure and reactivity of organic molecules. Emphasis on substitution and elimination reactions and chemistry of the carbonyl group. Introduction to the chemistry of aromatic compounds.

This class has 3.091, and 5.111 as prerequisites.

5.12 will be offered this semester (Spring 2019). It is instructed by J. Johnson, C. Rotsides, R. Danheiser and C. Rotsides.

Lecture occurs 12:00 PM to 13:00 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 + 5.12 - Google Search site or on the 5.12 Stellar site.

Required Textbooks
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MIT 5.12 Organic Chemistry I Related Textbooks
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6.01 Introduction to EECS via Robotics

Class Info

An integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots. Key issues in the design of engineered artifacts operating in the natural world: measuring and modeling system behaviors; assessing errors in sensors and effectors; specifying tasks; designing solutions based on analytical and computational models; planning, executing, and evaluating experimental tests of performance; refining models and designs. Issues addressed in the context of computer programs, control systems, probabilistic inference problems, circuits and transducers, which all play important roles in achieving robust operation of a large variety of engineered systems.

This class has 6.0001 as a prerequisite.

6.01 will not be offered this semester. It will be instructed by A. Hartz.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays in 4-270.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.01 - Google Search site.

MIT 6.01 Introduction to EECS via Robotics Related Textbooks
MIT 6.01 Introduction to EECS via Robotics On The Web
MIT + 6.01 - Google Search

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 54-100.

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.

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

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