In the course, demonstrating how the homework notebooks become the "common blackboards" Included as well is an example homework notebook completed by a student Of the Mathematica™ notebooks from Matrices, Geometry, & Mathematicaīy Davis/Porta/Uhl. Legacy Detailed Course Syllabus in PDF Linear Algebra Examples of the Curriculum Presents matrices, determinants, vector spaces, linear transformations, eigenvectors and eigenvalues, diagonalization, solution of systems of linear equations by the Gauss-Jordan method, and applications. New DMAT 335 = OLD DMAT 331 = OLD MATH 331 The connection between the old courses and the new In 2023, Distance Calculus introduced a new catalog of courses. Legacy Course Connection Legacy Distance Calculus Course: To understand and compute the diagonalization of a matrix, both with Singular Value Decomposition, and Eigenvalue - Eigenvector constructions.ĭMAT 335 - Computational Linear Algebra - Syllabus of TopicsĢ.3.Ĝurves in 2D: Change of Frames/Basisģ.10 Matrix Decomposition: Singular Value Decomposition To understand and compute bases, change of bases, spanning and linear independence, kernel and image sets To understand and compute Gaussian elimination and other strategies for finding solutions or approximate solutions to systems of linear equations To understand and compute the core concept of rank and its variations To understand and compute Singular Value Decomposition To understand and compute the fundamental properties of determinants and inverses of matrices, both for square and non-square generalizations To understand and compute core matrix algebra operations and their geometrical interpretations To understand and compute measurements of vectors and their geometry To understand the core connection between matrix algebra and a study of systems of linear equations Prerequisite: Successful completion (C- or higher) of Calculus II or equivalent, or consent of instructor.Į-Textbook: Matrices, Geometry & Mathematica by Davis/Porta/Uhlĭetailed Course Syllabus in PDF for DMAT 335 - Computational Linear AlgebraĭMAT 335 - Computational Linear Algebra - Learning Outcomes Topics include matrices, solutions of systems of linear equations, determinants, linear spaces and transformations, inner products, higher dimensional spaces, inverses and pseudoinverses, rank, Singular Value Decomposition, bases, rank, Eigenvalues and Eigenvectors, matrix decomposition and diagonalization. Transcript Course Title (30 Characters Max:): Comp Linear AlgebraĪ first course in matrix algebra and linear spaces with emphasis on computational software techniques and geometrical analysis. Roger Williams University Course Catalog Listing: DMAT 335 - Computational Linear AlgebraĬourse Title: Computational Linear Algebra Linear spaces concept (although only lightly dabbling in "proofs" - just the right amount Linear systems of equations, and the theoretical investigation of the generalized Have a thorough understanding of the geometry of linear algebra, the solutions of Students completing this Matrices, Geometry, & Mathematica curriculum will This course races into topics that are seldom found in any linear algebra textbook -Ī quite unique, fresh, and powerful approach to the subject. Manual computations that are today easily completed by any computer algebra system, Geometric, experimentation-centered approach to the subject. The course curriculum Matrices, Geometry, & Mathematica by Davis/Porta/Uhlīypasses the traditional manual calculation tedium, and leapfrogs to a computationally-based, Leveraging the high-powered computer algebra and graphing system Recognize much similarity with this course. To the fact that someone who took an introductory linear algebra course years ago would not Of the curriculum, "This is not your mother's (or father's) Our approach in this course is not a traditional one. On matrices, followed by an introduction to a more abstract approach to looking atĪ class of examples called linear spaces. Traditional approaches to the subject include learning tedious manual computations Linear Algebra is a sophomore-level introductory course to the subject. Honors Computational Differential Equations Honors Multivariable Calculus and Vector Analysis Multivariable Calculus and Vector Analysis In Providence, Rhode Island, USA, which is regionally accredited by the New EnglandĬommission of Higher Education (NECHE), facilitating transfer of credits nationwide to other colleges and universities.Ĭourse Matrix: DMAT 335 - Computational Linear Algebra Prerequisite Completion of DMAT 336 - Computational Linear Algebra earns 4 academic credit semester hours with an official academic transcript from Roger Williams University,
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |