Mathematics (18) - Archived
http://hdl.handle.net/1721.1/33995
Mathematics (18)Sun, 10 Jul 2016 10:36:27 GMT2016-07-10T10:36:27Z18.785 Analytic Number Theory, Spring 2007
http://hdl.handle.net/1721.1/101679
18.785 Analytic Number Theory, Spring 2007
Kedlaya, Kiran
This course is an introduction to analytic number theory, including the use of zeta functions and L-functions to prove distribution results concerning prime numbers (e.g., the prime number theorem in arithmetic progressions).
Fri, 01 Jun 2007 00:00:00 GMThttp://hdl.handle.net/1721.1/1016792007-06-01T00:00:00Z18.103 Fourier Analysis - Theory and Applications, Spring 2004
http://hdl.handle.net/1721.1/101676
18.103 Fourier Analysis - Theory and Applications, Spring 2004
Melrose, Richard
18.103 picks up where 18.100B (Analysis I) left off. Topics covered include the theory of the Lebesgue integral with applications to probability, Fourier series, and Fourier integrals.
Tue, 01 Jun 2004 00:00:00 GMThttp://hdl.handle.net/1721.1/1016762004-06-01T00:00:00Z18.304 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.
Thu, 01 Jun 2006 00:00:00 GMThttp://hdl.handle.net/1721.1/1008532006-06-01T00:00:00Z18.443 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.
Mon, 01 Jun 2009 00:00:00 GMThttp://hdl.handle.net/1721.1/1008512009-06-01T00:00:00Z