Linear Algebra

MATH 3013


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%
Your grade will be determined according to the scale
A 90-100
B 80-89
C 70-79
D 60-69
F 59 and lower
Note that the above numbers are percentages of the highest possible score in the course. Excessive absences will negatively impact your grade as explained below.

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:

Make-up Exams are given only in cases of serious illness or extreme emergency that prevents you from taking a test at the specified time. You have to contact me before the test and communicate all circumstances. Furthermore, you must appear in person, with supporting documents, to discuss the situation as soon as possible.

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.

Brief Schedule
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.

Detailed Schedule
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.)