MATH 365-1004 Computational Linear Algebra

2018 Spring, University of Nevada, Las Vegas


Instructor: Dr. Le Chen
Email : le.chen@unlv.edu
Office : SEB, 3131
Office Hours : Tue, Wed, Thr, 11:00am-12:00pm or by appointment
Class Meeting Times : TuTh 2:30pm-3:45pm in CBC C216
Discussion Classes : Fr 2:30pm-3:45pm and 4:00pm-5:15pm in CBC C-309
Teaching Assistant : Rihui Lan (lanr1@unlv.nevada.edu) office: CDC-07-20
Time period : January 16, 2018 (first lecture) --- May 3, 2018 (last lecture)


Course Description: This is a course of computational linear algebra. It is designed to introduce students to the matrix theory and systems of linear equations, elementary vector-space concepts, subspaces, linear independence, bases, linear transformations, matrix representation for linear transformations, and the eigenvalue problem. Techniques from linear algebra that can be applied to drawing curves that fit experimental/empirical data will be presented. We will also comment on aspects of solving linear algebra problems in a computer environment throughout the semester.
Textbook: Introduction to Linear Algebra (Fifth edition), by Lee W. Johnson, R. Dean Riess, Jimmy T. Arnold.
Coverage: We will cover Chapters 1, 3-6 of the above textbook.
Prerequisite: Math 182 and CS 117 or CS135.
Learning Outcomes: By the end of the course, student will be able to Note: The syllabus was created in January, and it is subject to change during the semester.
Homework: Homework will be assigned weekly and it is strongly recommended (not for credit). You can find some solutions at the end of the textbook. In case you have difficulties in solving some problems, you may either ask the teaching assistant in the discussion sessions or let me know. Upon requests, some problem will be solved and solutions will be posed here, where you may also find weekly lectures.
Projects: There will be Matlab projects assigned for each chapter and collected for credit. You need to submit the projects in the webcampus system. More instructions will be given during the semester.
Attendence: You are expected to attend class regularly. You are responsible for all the materials presented and all the announcements made, if any, at each lecture.
Tests and Final: There will be 2 tests and a cumulative final exam. Failure to take an exam during the scheduled class time will result in a score of zero for that exam. There will be no make-up exam except for well-documented reasons such as a medical emergency. Scientific (non-programmable and non-graphing) calculators are allowed during exams.
Grading Policy: There will be Projects (25%), two tests (20%+20%) and the final exam (35%).
Assignments of homework