Math 2333 001 - Course Syllabus Course Information Math...

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Course Syllabus Course Information Math 2333 Matrices, Vectors and Applications Fall 2010 Course Meeting Times 2333.001 TR 11:30 - 12:45 p.m. in GR 3.420 2333.002 MWF 1:30 - 2:20 p.m. in GR 3.302 2333.003 MW 11:30 - 12:45 p.m. in SOM 2.801 2333.501 MW 5:30 - 6:45 p.m. in GR 3.420 2333.502 TR 5:30 - 6:45 p.m. in GR 3.420 Professor Contact Information 2333.001 Instructor: Farid Khafizov Office: ECNS 3.920 Tel.: (972) 883-2161 Email: ftk100020@utdallas.edu Office hours: MW 12:30 pm-1:30 pm, or by app't 2333.002 Instructor: Bertrand Michaux Office: ECNS 3.608 Tel.: (972) 883-6563 Email: bxm102120@utdallas.edu Office hours: MWF 11:30 am - 12:30 pm, or by app't 2333.003 Instructor: Roza Hagstrom Office: ECSN 3.106 Tel.: (972) 883-2161 Email: rozahagstrom@yahoo.com Office hours: W 12:50 pm-1:50 pm at SOM 2.801, F 11:25 am-12:25 pm at MSET 1.202, or by app't 2333.501 Instructor: William Scott Office: ECNS 3.604 Tel.: (972) 788-0655 Email: wms016100@utdallas.edu Office hours: TR 10:00 am-11:00 am, or by app’t. 2333.502 Instructor: Qingwen Hu Office: FO 2.610E Tel.: (972) 883-6599 Email: qingwen@utdallas.edu Office hours: TR 6:50 pm-7:50 pm , or by app’t. Course Pre-requisites, Co-requisites, and/or Other Restrictions Math 1314 or equivalent Course Description Students will learn concepts and elementary techniques of linear algebra related to systems of linear equations, matrices, determinants and vectors. They will use those techniques in solving appropriate applied problems. Topics from chapter one will include matrices and their connection with systems of simultaneous linear equations(sec. 1.1), Gauss-Jordan elimination(sec. 1.2), Euclidean vector spaces(sec. 1.3), subspaces of n (sec. 1.4), basis and dimension(sec. 1.5), some applications of the inner product for n (sec. 1.6).
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Chapter two will cover the arithmetic and algebra of matrices(sec.2.1-2.3) and computing the multiplicative inverse of a matrix(sec. 2.4). Chapter three will include determinants and their computation(sec. 3.1, 3.2), the application of determinants to matrix inverse and the solution of systems of linear equations(sec. 3.3). Chapter four covers subspaces(sec. 4.1), spanning sets and linear independence(sec. 4.2, 4.3), properties of bases(sec. 4.4), and rank(sec. 4.5). Least squares is touched on in sec. 6.4 as is Gaussian elimination and LU decomposition in sec. 7.1 and sec. 7.2, resp. Lastly, linear programming problems are introduced (sec. 8.1) solved using the simplex method(sec. 8.2). Student Learning Objectives/Outcomes 1). Students will apply Gauss-Jordan method to solve a system of linear equations or to determine that a solution does not exist. 2). Students will compute the determinant, inverse, and rank of a matrix as appropriate. 3). Students will demonstrate their understanding of the properties of operations on vectors. In
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This note was uploaded on 02/09/2011 for the course BA 2301 taught by Professor Mattpolze during the Spring '08 term at University of Texas at Dallas, Richardson.

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Math 2333 001 - Course Syllabus Course Information Math...

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