MERLOT Search - category=2514&sort.property=dateCreated
http://www.merlot.org:80/merlot/
A search of MERLOT materialsCopyright 1997-2014 MERLOT. All rights reserved.Fri, 29 Aug 2014 11:48:29 PDTFri, 29 Aug 2014 11:48:29 PDTMERLOT Search - category=2514&sort.property=dateCreatedhttp://www.merlot.org:80/merlot/images/merlot.gif
http://www.merlot.org:80/merlot/
4434INTRODUCTION TO BOOLEAN ALGEBRA PART 1
http://www.merlot.org/merlot/viewMaterial.htm?id=887962
The material here consists of foundation knowledge of Boolean algebra. Boolean algebra is introduced here from a very elementary level. The notes are easy to follow and can be useful to students and enthsiasts of any level.18.330 Introduction to Numerical Analysis (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=883831
This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering. Topics spanned root finding, interpolation, approximation of functions, integration, differential equations, direct and iterative methods in linear algebra.18.782 Introduction to Arithmetic Geometry (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884035
This course is an introduction to arithmetic geometry, a subject that lies at the intersection of algebraic geometry and number theory. Its primary motivation is the study of classical Diophantine problems from the modern perspective of algebraic geometry.18.783 Elliptic Curves (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884049
This graduate-level course is a computationally focused introduction to elliptic curves, with applications to number theory and cryptography.18.353J Nonlinear Dynamics I: Chaos (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=883911
This course provides an introduction to nonlinear dynamics and chaos in dissipative systems. The content is structured to be of general interest to undergraduates in engineering and science.18.303 Linear Partial Differential Equations: Analysis and Numerics (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884153
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.18.02SC Multivariable Calculus (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884201
This course covers differential, integral and vector calculus for functions of more than one variable. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics.RES.18-008 Calculus Revisited: Complex Variables, Differential Equations, and Linear Algebra (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884392
Calculus Revisited is a series of videos and related resources that covers the materials normally found in freshman- and sophomore-level introductory mathematics courses. Complex Variables, Differential Equations, and Linear Algebra is the third course in the series, consisting of 20 Videos, 3 Study Guides, and a set of Supplementary Notes. Students should have mastered the first two courses in the series (Single Variable Calculus and Multivariable Calculus) before taking this course. The series was first released in 1972, but equally valuable today for students who are learning these topics for the first time.18.024 Multivariable Calculus with Theory (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=884553
This course is a continuation of 18.014. It covers the same material as 18.02 (Multivariable Calculus), but at a deeper level, emphasizing careful reasoning and understanding of proofs. There is considerable emphasis on linear algebra and vector integral calculus.18.03SC Differential Equations (MIT)
http://www.merlot.org/merlot/viewMaterial.htm?id=883936
The laws of nature are expressed as differential equations. Scientists and engineers must know how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on the equations and techniques most useful in science and engineering.