Math 250:08,  Syllabus and General Information, Spring 2024

MW 7:30-8:50pm, LSH-B269 (LIV)


Lecture   Date                                        Section Covered
1  01/17 1.1, 1.2 Matrices and Vectors
2  01/22 1.3 Systems of Linear Equations
3  01/24 1.4 Gaussian Elimination
4  01/29 1.6 Span of a Set of Vectors
5  01/31 1.7 Linear Dependence and Independence, Homogeneous Systems
6   02/05 2.1  Matrix Multiplication
7   02/07 2.1 Matrix Algebra; Quiz 1
8   02/12 2.3, Appendix E  Invertibility and Elementary Matrices, Uniqueness of RREF
9   02/14 2.4  Inverse of a Matrix
10   02/19 2.6  LU Decomposition of a Matrix; Review for the exam
11   02/21 Midterm Exam 1
12  02/26  3.1 Determinants; Cofactor Expansions
13  02/28 3.2 Properties of Determinants
14   03/04 4.1 Subspaces
15 03/06 4.2 Basis and Dimension
16   03/18 4.3 Column Space and Null Space of a Matrix
17 03/20 5.1 Eigenvalues and Eigenvectors; Quiz 2
18 03/25  5.2 Characteristic Polynomial
19 03/27 5.3 Diagonalization of a Matrix
20    04/01 5.5 Applications of Eigenvalues; Review for the exam
21   04/03 Midterm Exam 2
22    04/08   6.1 Geometry of Vectors; Projection onto a Line
23 04/10 6.2 Orthogonal Sets of Vectors; Gram - Schmidt Process; QR factorization
24  04/15 6.3 Orthogonal Projection; Othogonal Complements
25 04/17 6.4 , 6.5 Least Squares,  Normal Equations, Orthogonal Matrices
26 04/22 6.6 Diagonalization of Symmetric Matrices Quiz 3
27 04/24 6.6 Spectral Decomposition for Symmetric Matrices, Diagonalization of Quadratic Forms
28 04/29 Review for the Final Exam