# 3 Classes (36 Units)

**6.182**(12),

**8.022**(12),

**18.06**(12)

# 6.182 Psychoacoustics Project Laboratory

Introduces the methods used to measure human auditory abilities. Discusses auditory function, principles of psychoacoustic measurement, models for psychoacoustic performance, and experimental techniques. Project topics: absolute and differential auditory sensitivity, operating characteristics of human observers, span of auditory judgment, adaptive measurement procedures, and scaling sensory magnitudes. Knowledge of probability helpful. Students engage in extensive written and oral communication exercises.

This class has no prerequisites.

6.182 will not be offered this semester. It will be available in the Spring semester, and will be instructed by L. D. Braida.

Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in 36-372.

This class counts for a total of
12 credits.
This class counts as a **CI-M**.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.182&btnG=Google+Search&inurl=https site.

# 8.022 Physics II

Parallel to 8.02, but more advanced mathematically. Some knowledge of vector calculus assumed. Maxwell's equations, in both differential and integral form. Electrostatic and magnetic vector potential. Properties of dielectrics and magnetic materials. In addition to the theoretical subject matter, several experiments in electricity and magnetism are performed by the students in the laboratory.

This class has 8.01 as a prerequisite. This class has 18.02 as a corequisite.

8.022 will be offered this semester (Fall 2017). It is instructed by J. Checkelsky.

Lecture occurs 2:00 PM to 3:30 PM on Tuesdays and Thursdays in 6-120.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+8.022&btnG=Google+Search&inurl=https site or on the 8.022 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 MATLAB. 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 2017). It is instructed by S. G. Johnson.

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.