# 5 Classes (60 Units)

**6.00**(12),

**6.01**(12),

**8.01**(12),

**8.02**(12),

**18.06**(12)

# 6.00 Introduction to Computer Science and Programming

Introduction to computer science and programming for students with little or no programming experience. Students learn how to program and how to use computational techniques to solve problems. Topics include software design, algorithms, data analysis, and simulation techniques. Assignments are done using the Python programming language. Meets with 6.0001 first half of term and 6.0002 second half of term. Credit cannot also be received for 6.0001 or 6.0002.

This class has no prerequisites.

6.00 will be offered this semester (Fall 2018). It is instructed by A. Bell and J. V. Guttag.

Lecture occurs 3:00 PM to 4:30 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the MIT + 6.00 - Google Search site or on the 6.00 Stellar site.

# 6.01 Introduction to EECS via Robotics

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 available in the Spring semester, and 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.

# 8.01 Physics I

Introduces classical mechanics. Space and time: straight-line kinematics; motion in a plane; forces and static equilibrium; particle dynamics, with force and conservation of momentum; relative inertial frames and non-inertial force; work, potential energy and conservation of energy; kinetic theory and the ideal gas; rigid bodies and rotational dynamics; vibrational motion; conservation of angular momentum; central force motions; fluid mechanics. Subject taught using the TEAL (Technology-Enabled Active Learning) format which features students working in groups of three, discussing concepts, solving problems, and doing table-top experiments with the aid of computer data acquisition and analysis.

This class has no prerequisites.

8.01 will be offered this semester (Fall 2018). It is instructed by D. Chakrabarty and P. Dourmashkin.

Lecture occurs 11:00 AM to 1:00 PM on Tuesdays and Thursdays in 26-152.

This class counts for a total of 12 credits.

You can find more information at the MIT + 8.01 - Google Search site.

# 8.02 Physics II

Introduction to electromagnetism and electrostatics: electric charge, Coulomb's law, electric structure of matter; conductors and dielectrics. Concepts of electrostatic field and potential, electrostatic energy. Electric currents, magnetic fields and Ampere's law. Magnetic materials. Time-varying fields and Faraday's law of induction. Basic electric circuits. Electromagnetic waves and Maxwell's equations. Subject taught using the TEAL (Technology Enabled Active Learning) studio format which utilizes small group interaction and current technology to help students develop intuition about, and conceptual models of, physical phenomena.

This class has 18.01, and 8.01 as prerequisites.

8.02 will be offered this semester (Fall 2018). It is instructed by N. Gedik, M. Tegmark, P. Dourmashkin and R. Redwine.

Lecture occurs 9:00 AM to 11:00 AM on Mondays and Wednesdays in 32-082.

This class counts for a total of 12 credits.

You can find more information at the MIT + 8.02 - Google Search site or on the 8.02 Stellar site.

# 18.06 Linear Algebra

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 (Fall 2018). 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.