Math 254, Summer 16 INTRO TO LINEAR ALGEBRA Course Syllabus CRN 73070, Class: MS 120, MTWTH 2:20 PM - 3:45 PM Contact Information: Name: Moe Ebrahimi Email: [email protected] Office: MS 215-U Textbook: Elementary Linear Algebra, 7th edition, by Larson Homework: Homework will be assigned on in the classroom and will not be collected. Students ca receive extra credit if submit all homework at the end of the semester. Exams: There will be two Exams given during the lecture on certain days (announced in class, Sorry No calculators). Final Exam: The final examination will be held at the last day of classes (Sorry No calculators). Grading: Your course grade will be determined by your cumulative average at the end of the term and will be based on the following scale: A (above 90%), B (above 80%), C (above 60%) Note: Instructor may adjust the scale based on his or her class' cumulative averages. Your cumulative average will be the best of the following weighted averages: 20% (Attendance), 40% (Exams), 40% (Final Exam). NO "D" NOR “I” WILL BE GIVEN. Attendance: If you miss the class more than three times you will be dropped from the class! Catalog Description: MATH 116 College and Matrix Algebra This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving

algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; modeling; and applications problems. Analytical reading and problem solving skills are required for success in this course. Associate Degree Credit & transfer to CSU. CSU General Education. IGETC. UC Transfer Course List. Limitation: MATH 116 and 141 combined: maximum credit, one course.

Student Learning Objectives: Upon successful completion of the course the student will be able to: 1. Analyze, graph, and evaluate linear functions related to application problems in business and the natural sciences. 2. Perform algebraic operations on functions and determine function inverses. 3. Analyze and interpret the relationship between the properties and graphs of polynomial functions. 4. Determine all the exact zeros of a polynomial by applying root-finding techniques and theorems. 5. Analyze and interpret the graphs of algebraic functions including square root, cube root, absolute value, piece-wise defined functions and rational functions. 6. Solve and graph non-linear inequalities. 7. Analyze and apply rigid and non-rigid transformations to algebraic, exponential and logarithmic functions. 8. Solve equations involving logarithmic and exponential functions, including application problems. 9. Perform algebraic operations with matrices. 10. Construct systems of equations from application problems and solve them using various techniques. 11. Solve linear programming problems to find optimum points of operations. Tardiness: Class begins at the set hour. It is understood that tardiness is unavoidable on rare occasions, but chronic tardiness disrupts the learning environment. Likewise, it is usually inappropriate to leave before the end of class without consulting the instructor. If the instructor is more than twenty minutes late, students may leave after signing an attendance sheet. Reading: Reading the sections of the textbook corresponding to the assigned exercises is considered part of the homework assignment; you are responsible for material in the assigned reading whether or not it is discussed in the lecture. It will be expected that you read the assigned material in advance of each lecture.

Calculators: Calculator use will not be permitted on exams. Lecture: Attending the lecture is a fundamental part of the course; you are responsible for material presented in the lecture whether or not it is discussed in the textbook. You should expect questions on the exams that will test your understanding of concepts discussed in the lecture. Academic Dishonesty: Academic dishonesty is considered a serious offense. Students caught cheating will face an administrative sanction which may include suspension or expulsion from the college.