An elementary study of linear algebra, including an examination of linear transformations and matrices over finite-dimensional vector spaces. The main reference for this course is: Linear Algebra with Applications by Steven J.
KriegerMTWTh 3: To see all homework assignments click here Course description This is a basic course in linear algebra for students of science, applied science, and other quantitative fields such as economics and computer science. In the sciences and engineering, linear algebra is arguably the most widely applied mathematical theory even more so than calculus.
Its wide applicability stems, in part, from its simplicity.
In this course we will cover the core of linear algebra following the presentation in chapters of the textbook: Solving systems of linear equations Matrices and matrix algebra Linear transformations and the basic theory of linear spaces a.
Short homework assignments problems from the textbook are given every lecture and are due at the very beginning of the following lecture: The work you turn in must be your own, and you must understand what you hand in. After all, if someone else does all the mental heavy lifting for you, how will you get stronger?
To help students stay current, No homework extensions will be granted. Homework turned in after the start of class is considered late. Only in case of physical illness or another university-recognized exception such as observance of a recognized religious holiday may a homework extension be granted, and then only when an official letter of medical excuse from Academic Advising is provided.
However, to mitigate this strict policy: Homework assignments will be returned in class as soon as possible. If an error has been made in the grading of a homework assignment, it is the responsibility of the student to make this known to the grader.
Quiz There are two min quizzes every week. Tests There will be 1 midterm, covering half of the course, and a 2-hour and a half comprehensive final exam. Students are expected to know all material covered in lecture and all material covered in the reading assignments even when such material is not discussed explicitly in lecture.
The purpose of the tests is to: Encourage review of course material; Gauge understanding of the theory, techniques, and applications presented in lecture and the textbook, and in particular, the ability to apply that understanding to the solution of computational and conceptual problems in linear algebra; Generate scores for use in determining a course grade.
As a matter of department policy, No makeup tests will be given. If a test date falls on a day on which official university policy allows you to miss a test e.
Midterm tests will be returned in class. If an error has been made in the grading of a test problem, it is the responsibility of the student to make this known to the grader.Student work submitted after ten school days without prior approval shall not be accepted for credit and shall be recorded with a score of zero.
Upon returning to school after an absence, a student has the responsibility within the number of days equal to the length of the absence or suspension to meet with the teacher to develop a plan for leslutinsduphoenix.com · If a student fails to submit an assignment by the deadline and presents an acceptable reason within seven days of that deadline, then the score for the missing assignment will be based on the average of the other leslutinsduphoenix.com~ggeorge//leslutinsduphoenix.com Be able to solve systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion.
Be able to carry out matrix operations, including inverses and determinants. Demonstrate understanding of the concepts of vector space and subspace. Demonstrate understanding of linear independence, span, and basis.
· C or better in Math , C or better in Math , OR math placement score at least MATH Business Calculus Part 1 (2 Credits) MATH Intro to Matrices and Linear Algebra MATH Applied Elementary Number Theory (3 Credits) Syllabus.
MATH MATH Introduction to Mathematical leslutinsduphoenix.com · Linear Algebra Spring , Spring Course Description: This course is devoted to the basics of linear algebra: the study of systems of linear equations, vectors, matrices, and those things which arise when pursuing basic questions about these objects leslutinsduphoenix.com The Pre-AP Algebra 1 course framework is intended to provide a clear and focused description of what students should know and be able to do as a result of this leslutinsduphoenix.com://leslutinsduphoenix.com