Mathematics (18) - Archived
http://hdl.handle.net/1721.1/33995
Mathematics (18)2016-02-06T00:23:46Z18.304 Undergraduate Seminar in Discrete Mathematics, Spring 2006
http://hdl.handle.net/1721.1/100853
18.304 Undergraduate Seminar in Discrete Mathematics, Spring 2006
Kleitman, Daniel
This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic.
2006-06-01T00:00:00Z18.443 Statistics for Applications, Spring 2009
http://hdl.handle.net/1721.1/100851
18.443 Statistics for Applications, Spring 2009
Dudley, Richard
This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics. Note: Please see the syllabus for a description of the different versions of 18.443 taught at MIT.
2009-06-01T00:00:00Z18.310C 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.
2009-06-01T00:00:00Z