MATH 203 LINEAR ALGEBRA Monday Wednesday and Friday 1:00 to 2:40 PM Room A211 Instructor: Larry Green Phone Number Office: 5414660 Extension 341 Internet email: DrLarryGreen@gmail.com Home Page: http://www.ltcc.edu/academics.asp?scatID=5&catID=34" http://www.ltcconline.net/greenl/syllabi/w12/203syl.htm Required Text Linear Algebra and its Applications fourth edition by David C. Lay Course Description This course covers linear equations, matrices, determinants, vector spaces, inner product spaces, linear transformations, eigenvalues and eigenvectors and their applications to engineering and business.
Student Learning Outcomes
Prerequisite A grade of C or better in Math 107 or equivalent. Grading Policy Your letter grade will be based on your percentage of possible points. A 90  100% C 70  79% B 80  89% D 60  69% Homework: .................................... .150 points Exam 1: Feb 1..................... .. ......200 points Exam 2: March 2............................. 200 points Final Exam: Mar 23..................... ....450 points Exam Policy Students are to bring calculators, pencils or pens, and paper to each exam. Grading will based on the progress towards the final answer, and the demonstration of understanding of the concept that is being tested, therefore, work must be shown in detail. Any student who cannot make it to an exam may elect to take the exam up to two days before the exam is scheduled. If all homework is completed and no more than one homework assignment receives a score of 5 or less for the exam coverage period, then you may bring a single 3"x5" notecard to the regular exam. If all homework assignments are turned in and no more than 3 receive a score of 5 of less for the entire quarter, then you may bring a single 3"x 5" notecard to the final exam. Homework Policy Homework will be turned in at 1:00 PM or when the Q&A time if finished. Homework that is turned in within one week of the due date will be counted as half credit. Homework may be turned later than one week after the due date, but points will not be awarded.
Registration In this class, it is your responsibility to drop the class in order to avoid an unwanted grade.
OFFICE HOURS: Monday ............................ 9:40 to 10:40 MSC Tuesday.......................... 1:00 to 2:00 A210 Wednesday .................... 12:00 to 1:00 A210 Thursday........................ 12:00 to 1:00 MSC Friday........................ 9:40 to 10:40 A210 CALCULATORS: The TI 89 or nSpire CAS is required for this class. The TI 89 is available to rent in the Library LEARNING DISABILITIES: If you have a learning disability, be sure to discuss your special needs with Larry. Learning disabilities will be accommodated. TUTORING: Tutors are available at no cost in the Math Success Center, but for this class Larry, and your fellow classmates are your best bet for help. A WORD ON HONESTY: Cheating or copying will not be tolerated. People who cheat dilute the honest effort of the rest of us. If you cheat on a quiz or exam you will receive an F for the course, not merely for the test. Other college disciplinary action including expulsion might occur. Please dont cheat in this class. If you are having difficulty with the course, please see me.
HOMEWORK ASSIGNMENTS Lecture will always be geared towards an explanation of the topics that will be covered on the upcoming homework assignment. Date Section Topic Exercises 14 Introductions
16 1.2 Reduced Row Echelon
Forms 2,3,12,15,21,24 19 1.4 Ax = b
7,12,15,20,24,26,31,33,34,35 111
1.6 Applications of Linear Systems 3,7,10,12,15 113
1.8 Introduction to Linear Transformations
5,10,14,15,22,24,30,33,36 116 Happy Birthday Martin Luther King 118
1.10 Linear Models in Business, Science, and Engineering
2,5,8,11,14 120 2.2
The Inverse of a Matrix 4,11,16,19,24,28,31,35
123 2.7 Applications to Computer
Graphics 2,5,8,11,15,18,20,21 125 2.9 Dimension and Rank 1,4,7,10,13,16,17,18,20,23,24,27,30 127 3.1 Introduction to Determinants 4,13,22,24,29,34,38,40,42 130 3.2
Properties of Determinants 6,13,16,19,22,25,28,31,32,35,40,43 21 Exam 1 23 4.1 Vector Spaces and Subspaces 1,3,4,5,7,12,15,19,22,24,27,30,33,34 26
4.2 Null Spaces, Column Spaces, and Linear Transformations
28 4.3
Linearly Independent Sets; Bases 4,9,16,20,22,25,30,31,34 210 4.5 The Dimension of a Vector Space 3,6,9,12,15,19,20,22,25,26,27,29,30,32 213 4.6 Rank 3,6,9,12,15,17,18,21,24,27,30,33 215 4.7
Change of Basis 1,4,9,11,12,14,17,18 217 Lincoln's Birthday 220 Happy Birthday George Washington 222 5.1 Eigenvalues
and Eigenvectors 5,10,15,20,21,22,25,26,27,29,30 224 5.3
Diagonalization
1,6,11,16,21,22,24,27,28,31 227 5.5
Complex Eigenvalues 1,6,11,17,21,22,24,25 229 Snow Day 32 6.1
Inner Product Spaces, Length and Orthogonality
5,10,15,19,20,22,24,25,27,29,30,31
35
Exam 2 37
6.3 Orthogonal Projections
5,10,11,15,18,21,22,24 39 6.4 The GramSchmidt Process 5,10,17,18,19,23 312 6.5
LeastSquares Problems 3,7,12,17,18,21,24
314 6.7 Inner Product Spaces 4,8,13,,16,18,20,21,23,25
316 7.1
Diagonalization of Symmetric Matrices
5,10,15,20,25,29,30,32
319 7.5 Applications to Image Processing and
Statistics 1,3,6,9,12 323 Comprehensive Final Exam 1:00 PM  2:50 PM
HOW TO SUCCEED IN A MATH CLASS
