Time and Place: TR 12:00 - 1:15 p.m. in MSCS 514 and 1:30 - 2:45 p.m. in MSCS 422
Professor: Igor E. Pritsker
Office: MSCS 519C
Office Hours: TR 10:50-11:50 a.m.
Office Phone: 744-8220
E-mail: igor@math.okstate.edu
Web: https://math.okstate.edu/people/igor/
Textbook: Linear Algebra, by David Poole, Brooks/Cole, 4th ed.
Grading: We shall have two semester tests and the Final Exam. The break up of your course grade is as follows:
Tests 1-2 | 50% (25% each) | |
Quizzes | 10% | |
Final Exam | 40% |
A | 90-100 | |
B | 80-89 | |
C | 70-79 | |
D | 60-69 | |
F | 59 and lower |
Attendance is mandatory in this class. If you miss four classes without a valid excuse, then each further absence without an excuse will result into losing two points of the final average of all class grades. In addition, missing a quiz will clearly decrease your average grade for quizzes.
Quizzes: Be prepared for short quizzes (1-2 problems, 10 minutes). They will be given without prior announcement. All quizzes are based on your home assignments. Two lowest quiz grades will be dropped. No make-up quizzes will be given regardless of the reason why a quiz was missed.
Homework will be assigned daily (see the schedule). It is required that you complete all homework. This is critical for your success in the course. In addition, all graded assignments are based on the homework problems.
Recommended Learning Method:
Technology: You may find that calculators and other electronic devices can sometimes simplify your computations. However, they are not essential for learning purposes, and their use will not be allowed during quizzes and tests. The use of mobile phones is strictly forbidden in class, so they should be kept in silent mode and away from sight. Internet browsing on any electronic device is completely unacceptable during class time.
MLSC stands for the Mathematics Learning Success Center located on the 5th floor of Edmon Low Library. You can receive invaluable tutoring help at MLSC.
University Syllabus Attachment: Contains drop deadlines and procedures, as well as many other important dates and university policies.
Chapter 1 | Chapter 2 | Test 1 | Chapter 3 | Chapter 4 | Test 2 | Chapter 5 | Chapter 6 | Final Exam |
Notes: All homework problems below are to be assumed odd numbered, unless it is indicated otherwise.
Wk | Date | Sec | Page | Topic | Homework |
---|---|---|---|---|---|
1 | T, Jan 14 | 1.1 | 3 | The Geometry and Algebra of Vectors | 5-19 |
R, Jan 16 | 1.2 | 18 | Length and Angle: The Dot Product | 3-9, 13-19, 25, 31, 41, 43, 49, 61 | |
2 | T, Jan 21 | 1.3 | 34 | Lines and Planes | 1-13, 23, 43 |
R, Jan 23 | 2.1/2.2 | 58/64 | Introduction to Systems of Linear Equations | 2.1: 11-21, 33-37; 2.2: 5-13 | |
3 | T, Jan 28 | 2.2 | 64 | Direct Methods for Solving Linear Systems | 17-21, 25-29, 35, 37 |
R, Jan 30 | 2.3 | 88 | Spanning Sets and Linear Independence | 1-5, 9-15 | |
4 | T, Feb 4 | 2.3 | 88 | Spanning Sets and Linear Independence | 23-29, 35-43 |
R, Feb 6 | 2.4 | 99 | Applications | 15-21 | |
5 | T, Feb 11 | Review | |||
R, Feb 13 | Test 1 | ||||
6 | T, Feb 18 | OSU is closed due to inclement weather | |||
R, Feb 20 | OSU is closed due to inclement weather | ||||
7 | T, Feb 25 | 3.1 | 138 | Matrix Operations | 1-17, 23, 25 |
R, Feb 27 | 3.2 | 154 | Matrix Algebra | 3-7, 11, 13, 23, 29, 37, 39 | |
8 | T, Mar 4 | 3.3 | 163 | The Inverse of a Matrix | 1-5, 9-13, 25, 27, 31-39, 49-55 |
R, Mar 6 | 3.4 | 180 | The LU Factorization | 1, 3, 7, 9, 15, 19 | |
9 | T, Mar 11 | 3.5 | 191 | Subspaces, Basis, Dimension, and Rank | 1-15, 17-29 |
R, Mar 13 | 3.5 | 191 | Subspaces, Basis, Dimension, and Rank | 35-41, 45, 47, 51 | |
10 | T, Mar 18 | Spring Break | |||
R, Mar 20 | Spring Break | ||||
11 | T, Mar 25 | 3.6 | 211 | Introduction to Linear Transformations | 3-17, 21, 25 |
R, Mar 27 | 3.6 | 211 | Introduction to Linear Transformations | 31-39, 47-51 | |
12 | T, Apr 1 | 4.1 | 254 | Introduction to Eigenvalues and Eigenvectors | 5-15, 23, 25 |
R, Apr 3 | 4.2 | 263 | Determinants | 1-15, 23-31, 47-51, 57, 59 | |
13 | T, Apr 8 | 4.3 | 292 | Eigenvalues and Eigenvectors of nxn Matrices | 3-11, 15-19 |
R, Apr 10 | 4.4 | 301 | Similarity and Diagonalization | 1-17 | |
14 | T, Apr 15 | Test 2 | |||
R, Apr 17 | 5.1 | 368 | Orthogonality in Rn | 7-19 | |
15 | T, Apr 22 | 5.2 | 378 | Orthogonal Complements and Orthogonal Projections | 1-5, 11-21 |
R, Apr 24 | 5.3 | 388 | The Gram-Schmidt Process and the QR Factorization | 1-9, 13-17 | |
16 | T, Apr 29 | 5.4 | 400 | Orthogonal Diagonalization of Symmetric Matrices | 1-11 |
R, May 1 | Final Review | ||||
17 | T, May 6 | Final Exam for Section 20914 (MSCS 514, 10:00-11:50 a.m.) | |||
R, May 8 | Final Exam for Section 20912 (MSCS 422, 2:00-3:50 p.m.) |