SYLLABUS
LINEAR ALGEBRA / MA443
INSTRUCTOR: Mazhar Jamil
OFFICE: Room #101 Class: Room # 208 PHONE: (318)-347-3174 ext. 129 e-mail: JamilM@lsmsa.edu
TEXT & Elementary Linear Algebra - Third Edition
AUTHOR: Ronald E. Larson and Bruce H. Edwards
COURSE Linear Algebra is designed to acquaint students with the theory, techniques, and applications
DESCRIPTION: of solving systems of linear equations.
COURSE In order to demonstrate that a student is in the process of achieving the major course
REQUIREMENT: objectives, the student must be able to work problems on major tests and quizzes similar to those problems regularly assigned as homework. 5% of your grades are taken from homework assignments, homework is an integral part of the course and provides the means by which the student can learn mathematical concepts. It is doubtful that the student will be able to pass the course without working the homework assignments.
ATTENDANCE: Students are expected to be present and on time to every class. Attendance, including tardiness, will be recorded and turned in daily. Three tardiness will accumulate to one unexcused absent. And according to the school policy 4 unexcused absences result in a failing grade in the course. Students should note that absence from class, excused or unexcused, does not give students the right to postpone quizzes or tests that follow and from the submission of homework. It is the student's responsibility to look into schedule or find out from classmates what was done in class and also about the homework. Unexcused absences and tardiness will negatively affect the final grade.
RULES FOR 1. If any student has legitimate reason for being unable to take a test that student must
TEST TAKING: notify Mr. Jamil at least 2 days before the exam unless excused by the school.
2. If a student fails to take an exam or quiz on the scheduled test date without previously
notifying Mr. Jamil, 10% points will be taken off of that student's test grade, and NO bonus points will be available for that student.
GRADING: There will be five Tests, one Final Exam and frequent pop quizzes and homework assignments. The lowest Test score and one quiz will be dropped before the final grade will be given. Each Test, as well as the Final Exam, will be cumulative. Student will not be excused from a quiz, homework or test for missing any class for any reason.
Final Exam ........................................20%
Four Tests .........................................60%
Quizzes..............................................10%
Homework and Class Participation...10%
90 - 100 A 80 - 89 B
70 - 79 C Below 70 D
OFFICE HOURS: M 8:00 – 10:00 & 11:00 – 12:00 T 9:30 – 11:45 & 2:15 – 4:00 (by appointment only)
W 9:3 0 – 10:00 & 11:00 – 12:00 R 10:00 – 11:00 & 2:15 – 4:00 (by appointment only) F 9:30 – 10:00, 11:00 – 12:00
GUIDED STUDY: Mondays / Room # 242 4:00 - 5:30
LINEAR ALGEBRA - SPRING 2008
Chapter 1: Systems of Linear Equations
1 1 / 14 / 2008 Introduction; Systems of Linear Equations 1.1
2 1 / 21 / 08 Gaussian Elimination & Gauss-Jordan Elimination 1.2
Applications of Systems of Linear Equations 1.3
Chapter 2: Matrices
3 1 / 28 / 08 Operations with Matrices 2.1
Properties of Matrix Operations 2.2
The Inverse of a Matrix 2.3
1 / 31 / 2008 TEST #1
4 2 / 4 / 2008 Mardi Gras Holiday
5 2 / 11 / 08 Elementary Matrices 2.4
Applications of Matrix Operations 2.5
Chapter 3: Determinants
6 2 / 18 / 08 The Determinant of a Matrix 3.1
Evaluation of a Determinant using Elementary Operations 3.2
7 2 / 25 / 08 Properties of Determinants 3.3
Applications of Determinants 3.4
2 / 28 / 2008 TEST #2
8 3 / 3 / 08 Chapter 4: Vector Spaces
Vectors in R n 4.1
Vector Spaces 4.2
Subspaces of Vector Spaces 4.3
9 3 / 10 / 08 Spanning Sets and Linear Independence 4.4
3 / 12 / 2008 End of the first grading period
10 3 / 17 / 2008 Easter Holidays
11 3 / 24 / 08 Basis and Dimension 4.5
Coordinates and Change of Basis 4.7
12 3 / 31/ 2008 TEST #3
Applications of Vector Spaces 4.8
Chapter 5: Inner Product Spaces
13 3 / 7 / 08 Length and Dot Product in R n 5.1
Inner Product Spaces 5.2
Orthogonal Bases: Gram-Schmidt Process 5.3
14 3 / 14 / 08 Applications of Inner Product Spaces 5.4
Chapter 6: Linear Transformations
Introduction to Linear Transformations 6.1
3 / 15 / 2008 TEST #4
The Kernel and Range of a Linear Transformation 6.2
15 3 / 21 / 08 Matrices for Linear Transformation 6.3
Transition Matrices and Similarity 6.4
Applications of a Linear Transformations 6.5
Chapter 7: Eigenvalues and Eigenvectors
16 3 / 28 / 08 Eigenvalues and Eigenvectors 7.1
5 / 1 / 2008 TEST #5
17 5 / 5 / 08 Diagonalization 7.2
Symmetric Matrices and Orthogonal Diagonalization 7.3
Applications of Eigenvalues and Eigenvectors 7.4
18 5 / 15 / 2008 Finals
The Instructor reserves the right to change any portion of this class guide by announcing the change during a scheduled class meeting.