6.042 and 18.03 have conflicting lecture times!

5 Classes (60 Units)

4.500 (12), 6.004 (12), 6.034 (12), 6.042 (12), 18.03 (12)

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4.500 Introduction to Design Computing

Class Info

Introduces 3-D CAD modeling to students with little or no experience in design or computation. Teaches surface, solid and mesh modeling techniques combined with a variety of modeling applications, from 3D printing to CNC fabrication and 3D rendering. Includes weekly modeling assignments leading up to a final project. Additional work required of students taking the graduate version. Enrollment limited; preference to Course 4 majors and minors.

This class has no prerequisites.

4.500 will not be offered this semester. It will be available in the Fall semester, and will be instructed by L. Sass.

This class counts for a total of 12 credits.

You can find more information on MIT OpenCourseWare at the Introduction to Design Computing site or on the 4.500 Stellar site.

MIT 4.500 Introduction to Design Computing Related Textbooks
MIT 4.500 Introduction to Design Computing On The Web
Introduction to Design Computing
Tags
architectural design and computation digital fabrication rendering

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 (Spring 2018). It is instructed by C. Terman.

Lecture occurs 1:00 PM to 2:00 PM on Tuesdays and Thursdays in 32-123.

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 or on the 6.004 Stellar site.

MIT 6.004 Computation Structures Related Textbooks

6.034 Artificial Intelligence

Class Info

Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. Covers applications of rule chaining, constraint propagation, constrained search, inheritance, statistical inference, and other problem-solving paradigms. Also addresses applications of identification trees, neural nets, genetic algorithms, support-vector machines, boosting, and other learning paradigms. Considers what separates human intelligence from that of other animals.

This class has 6.0001 as a prerequisite.

6.034 will not be offered this semester. It will be available in the Fall semester, and will be instructed by P. Winston.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.034&btnG=Google+Search&inurl=https site or on the 6.034 Stellar site.

MIT 6.034 Artificial Intelligence Related Textbooks

6.042 Mathematics for Computer Science

Class Info

Elementary discrete mathematics for computer science and engineering. Emphasis on mathematical definitions and proofs as well as on applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics include recursive definition and structural induction, state machines and invariants, integer congruences, recurrences, generating functions.

This class has 18.01 as a prerequisite.

6.042 will be offered this semester (Spring 2018). It is instructed by F. T. Leighton, A. R. Meyer and A. Moitra.

Lecture occurs 1:00 PM to 2:30 PM on Mondays, Wednesdays and Fridays in 32-044.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.042&btnG=Google+Search&inurl=https site or on the 6.042 Stellar site.

MIT 6.042 Mathematics for Computer Science Related Textbooks

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 (Spring 2018). It is instructed by B. Poonen.

Lecture occurs 1:00 PM to 2:00 PM on Mondays, Wednesdays and Fridays in 26-100.

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
Differential Equations
Tags
ode modeling physical systems first-order ode's

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