4 Classes (48 Units)

6.004 (12), 6.006 (12), 7.012 (12), 18.03 (12)

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6.004 Computation Structures

Class Info

Introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. Multilevel implementation strategies; definition of new primitives (e.g., gates, instructions, procedures, and processes) and their mechanization using lower-level elements. Analysis of potential concurrency; precedence constraints and performance measures; pipelined and multidimensional systems. Instruction set design issues; architectural support for contemporary software structures.

This class has no prerequisites.

6.004 will be offered this semester (Fall 2017). It is instructed by D. Sanchez, C. J. Terman and S. H. Wachman.

Lecture occurs 1:00 PM to 2:00 PM on Tuesdays and Thursdays in 10-250.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.004&btnG=Google+Search&inurl=https site.

MIT 6.004 Computation Structures Related Textbooks

6.006 Introduction to Algorithms

Class Info

Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems. Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

This class has 6.042, and 6.0001 as prerequisites. This class has 6.009 as a corequisite.

6.006 will be offered this semester (Fall 2017). It is instructed by S. Micali, M. Medard and J. Ku.

Lecture occurs 11:00 AM to 12:00 PM on Tuesdays and Thursdays in 26-100.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Introduction to Algorithms site or on the 6.006 Stellar site.

MIT 6.006 Introduction to Algorithms Related Textbooks
MIT 6.006 Introduction to Algorithms On The Web

7.012 Introductory Biology

Class Info

Exploration into areas of current research in molecular and cell biology, immunology, neurobiology, human genetics, biochemistry, and evolution. Enrollment limited to seating capacity of classroom. Admittance may be controlled by lottery.

This class has no prerequisites.

7.012 will be offered this semester (Fall 2017). It is instructed by E. Lander and R. Weinberg.

Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+7.012&btnG=Google+Search&inurl=https site or on the 7.012 Stellar site.

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18.03 Differential Equations

Class Info

Study of differential equations, including modeling physical systems. Solution of first-order ODEs by analytical, graphical, and numerical methods. Linear ODEs with constant coefficients. Complex numbers and exponentials. Inhomogeneous equations: polynomial, sinusoidal, and exponential inputs. Oscillations, damping, resonance. Fourier series. Matrices, eigenvalues, eigenvectors, diagonalization. First order linear systems: normal modes, matrix exponentials, variation of parameters. Heat equation, wave equation. Nonlinear autonomous systems: critical point analysis, phase plane diagrams.

This class has 18.02 as a corequisite.

18.03 will be offered this semester (Fall 2017). It is instructed by A. Negut.

Lecture occurs 1:00 PM to 2:00 PM on Mondays, Wednesdays and Fridays in 54-100.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Differential Equations site or on the 18.03 Stellar site.

MIT 18.03 Differential Equations Related Textbooks
MIT 18.03 Differential Equations On The Web

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