Syllabus for MA 405-002, Fall 2019, Room 206 Cox Hall, 1:55--2:45 pm

1.   Instructor:  Jack W. Silverstein
Office:  4214 SAS Hall
Office Hours:  Mon. Wed. 5:00 - 6:30
Phone Number:  919 515 7864
E-mail address:  jack@math.ncsu.edu

First exam from spring '16

Second exam from spring '16

Third exam from spring '16

Final exam from spring '16

2.  Goals and Objectives:

To introduce students to the basic concepts from linear algebra and matrix theory.

3. Textbook:

Linear Algebra with Applications, Ninth Edition by Steven J. Leon,
2015, Pearson Prentice Hall, ISBN-13: 978-0321962218

4. Schedule:

     no. of lectures         Section         Topics

                4                   1.1,1.2         Linear systems of equations, elementary row operations, row echelon form
                                                                  of a matrix, Gauss elimination

                5                   1.3-1.6         Matrix algebra: definition of a matrix, operations with matrices and their
                                                                  properties, invertible matrices, inverse of a matrix. Elementary matrices
                                                                  and LU factorization. Partitioned matrices

                3                   2.1-2.3         Determinants and their properties; applications of determinants: finding
                                                                  the inverse of a matrix, Cramer's Rule

                2                                       Review and Exam 1

                6                   3.1-3.6         Vector spaces: axioms, subspaces, spanning sets, linear independence of
                                                                  of vectors. Basis and dimension of vector space, coordinate matrix,
                                                                  fundamental subspaces associated with a matrix, the relationship between
                                                                  the rank and the nullity of a matrix

                2                                       Review and Exam 2

                3                   4.1-4.3         Linear transformations: definition, examples, matrix representation of linear
                                                                  transformations between Euclidean vector spaces, similarity between matrices

                2                   5.1,5.4         Scalar product in Rn. Inner product spaces

                3                   5.5-5.6         Orthogonal and orthonormal sets/bases, Gram-Schmidt process

              2                                        Review and Exam 3

              2                    6.1,6.3         Eigenvalues and eigenvectors, diagonalization of a matrix

              8                    6.4-6.7         Hermitian matrices, singular value decomposition, quadratic forms, positive
                                                            definite matrices

              1                                        Review for final exam, given on Monday December 16, 1-4pm.

5. Tentative schedule of reading assignments:

Students are expected to read sections of the text at the same time they are covered in class.

6. Tentative schedule of homework due dates, quizzes and tests:

Homework is assigned almost every day.

Three exams, the date for each to be given at least one week in advance.

7. Determination of grades:

+ and - system will be used.
Each of the three exams will count 25% each. The final exam will also count 25%.
The final average will determine middle C.
A and B ranges will be on an approximate 10 point basis, with + - set at the extremes of the cut-offs.
For students missing 5 or less days of class, their final average will be the larger of the averaged
4 exams and the final exam.

8. Attendance: Required