![]() Many important problems in a wide range of disciplines within computer science and throughout science are solved using techniques from linear algebra. This course will introduce students to some of the most widely used algorithms and illustrate how they are actually used. Some specific topics: the solution of systems of linear equations by Gaussian elimination, dimension of a linear space, inner product, cross product, change of basis, affine and rigid motions, eigenvalues and eigenvectors, diagonalization of both symmetric and non-symmetric matrices, quadratic polynomials, and least squares optimazation. The ideas and tools provided by this course will be useful to students who intend to tackle higher level courses in digital signal processing, computer vision, robotics, and computer graphics.Īpplications will include the use of matrix computations to computer graphics, use of the discrete Fourier transform and related techniques in digital signal processing, the analysis of systems of linear differential equations, and singular value deompositions with application to a principal component analysis. Mathematics 4800 will open with a review of the basics of real analysis (brief or extended background requires). Your grade will be based on the following rubric:Īcademic dishonesty is considered a serious offense at Emory.The review will include: introduction of the real numbers through Dedekind cuts, continuity of real-valued functions on the real line Cantor nested-interval principle, basic results for continuous functions, Maximum and Intermediate Value theorems, Heine-Borel Theorem, Uniform Continuity on closed intervals metric spaces, convergence of sequences, Cauchy sequences, completeness, more general uniform continuity and intermediate value theorems general topology, separation, compactness, product spaces, Tychonoff's Theorem. The Entire book or individual chapters can be downloaded provided the terms of use as mentioned in the Copyright Notice is adhered to. The service covers textbooks of all subjects published by NCERT for classes I to XII in Hindi, English and Urdu. Homework assignments are available here, on the Welcome to the Online Textbooks Section This online service offers easy access to the NCERT textbooks. Additionally, you must write the names of students you worked You are welcome (encouraged!) to work with others on your homeworkĪssignments, however everyone must individually write up the draft they They will be assigned on Monday and collected the following Monday. This book contains much more than is covered in the course. E-mail: Webpage: /andras/ Office: 383M Tentative Office Hours: Right after class, TTh3:15-4:15 as well as (starting Monday of week 2) M2-3pm. Textbook Linear Algebra, Multivariable, and Modern Applications is the course textbook that is free and available in electronic version only. Group Theory (MATH 361) - Course Catalogue University of Saskatchewan MATH 361. Homework: There will be weekly homework assignments in this course. the math placement diagnostic (o ered through the Math Department website) in order to register for this course. ![]() Note that I am bound toĮspecially with regard to the final which I cannot move for any reason.Ĭalculators will be allowed on the exams, but will not be necessary. The final will be cumulative and will be held Thursday,ĩth, 4:30-7PM. The midterms will be held on October 8th, and November 12thĭuring lecture. There will be two midterm exams and one final exam for theĬourse. Topics include distribution models (binomial, geometric, uniform, normal, Poisson, and exponential), the Chebyshev inequality, expectation, moment generating functions, the central limit theorem plus applications. Will deal primarily with continuous probability theory. From theĬourse Atlas: After an overview of finite probability theory, the course Mathematical probability, while 362 focuses on statistics. Textbook Linear Algebra, Multivariable, and Modern Applicationsis the course textbook that is free and available inelectronic version only. Textbook: Introduction to Mathematical Statitstics, by Hogg, McKean and Craig.ģ61 is the first course of a two semester sequence. Office Hours: Th10-12, F1-2 or by appointment. ![]() Math 361, Probability and Statistics I, SyllabusĮmail: phorn (at) mathcs dot emory dot edu Syllabus for Math 361, Section D1 (Fall 1996) Instructor: Richard Sowers Office: 107 Altgeld Hall Phone: (217) 333-6246 email: Home page: (this syllabus can be found there) Office Hours: Mondays, Wednesdays, and Fridays 9-9:50 A.M.
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