Mathematics (18) - Archived
http://hdl.handle.net/1721.1/33995
Mathematics (18)2015-08-29T23:28:18Z18.310C Principles of Applied Mathematics, Fall 2007
http://hdl.handle.net/1721.1/98262
18.310C Principles of Applied Mathematics, Fall 2007
Shor, Peter; Kleitman, Daniel
Principles of Applied Mathematics is a study of illustrative topics in discrete applied mathematics including sorting algorithms, information theory, coding theory, secret codes, generating functions, linear programming, game theory. There is an emphasis on topics that have direct application in the real world. This course was recently revised to meet the MIT Undergraduate Communication Requirement (CR). It covers the same content as 18.310, but assignments are structured with an additional focus on writing.
2007-12-01T00:00:00Z18.311 Principles of Applied Mathematics, Spring 2009
http://hdl.handle.net/1721.1/97754
18.311 Principles of Applied Mathematics, Spring 2009
Kasimov, Aslan
This course is about mathematical analysis of continuum models of various natural phenomena. Such models are generally described by partial differential equations (PDE) and for this reason much of the course is devoted to the analysis of PDE. Examples of applications come from physics, chemistry, biology, complex systems: traffic flows, shock waves, hydraulic jumps, bio-fluid flows, chemical reactions, diffusion, heat transfer, population dynamics, and pattern formation.
2009-06-01T00:00:00Z18.303 Linear Partial Differential Equations: Analysis and Numerics, Fall 2010
http://hdl.handle.net/1721.1/97715
18.303 Linear Partial Differential Equations: Analysis and Numerics, Fall 2010
Johnson, Steven G.
This course provides students with the basic analytical and computational tools of linear partial differential equations (PDEs) for practical applications in science engineering, including heat/diffusion, wave, and Poisson equations. Analytics emphasize the viewpoint of linear algebra and the analogy with finite matrix problems. Numerics focus on finite-difference and finite-element techniques to reduce PDEs to matrix problems.
2010-12-01T00:00:00Z18.783 Elliptic Curves, Spring 2013
http://hdl.handle.net/1721.1/97521
18.783 Elliptic Curves, Spring 2013
Sutherland, Andrew
This graduate-level course is a computationally focused introduction to elliptic curves, with applications to number theory and cryptography.
2013-06-01T00:00:00Z