Prof. Ilya KofmanOffice: 1S-209 phone: (718) 982-3615Email: ikofmanmath.csi.cuny.edu Website: http://www.math.csi.cuny.edu/~ikofman/ |
Textbook: Gilbert Strang, Introduction to Linear Algebra, Fifth Edition, 2016. ISBN: 978-09802327-7-6.
Homework: Answers to many exercises are in the back of the book. Webwork problems must be submitted online. To pass this course, the Webwork problems are the minimum requirement; to earn an excellent grade, you will have to do the other assigned problems in your textbook. I highly recommend working jointly on homework problems with fellow students, but in the end you must hand in your own work.
Webwork: Webwork is a free online system that provides individualized homework problems, gives immediate feedback, and allows you to correct mistakes until the due date. Later, you can see solutions online. Webwork is required in this course, and it is a major part of your grade. Webwork website
MATLAB: MATLAB is powerful computer algebra software designed to solve linear algebra problems. Our textbook has a lot of MATLAB material, and learning to use MATLAB will help you in this course. The CSI math department computer labs have MATLAB, or you can access MATLAB online using CUNY Virtual Desktop.
Grading: The course grade will be determined (subject to changes announced in class) by your scores on Webwork, homework, quizzes, exams and final exam. Without exception, you must pass the exams to pass this course, and you must take the final exam at the time scheduled by the college.
Help: My office hours are Mondays and Wednesdays 11am-12:15pm in my office, 1S-209. Email is the fastest way to contact me. Also, free math tutoring is available.
How to Study: (1.) Come to class (attendance is mandatory). (2.) Read the relevant sections after class. (3.) Do the homework. Leave time to think about it! (4.) Come to my office hours or the help room with any remaining questions. (5.) To study for a math exam, you must DO MORE PROBLEMS from past exams, homework and textbook.
Class | Topic | Read | Exercises |
Aug 28 | Vectors and Linear Combinations, Lengths and Dot Products | §1.1, 1.2 | 1.1: p.8: 2,4,6,9,10,17,26
1.2: p.18: 1,3,4,6,8,9,12,19,21,29 |
Aug 30 | Matrices, Vectors and Linear Equations | §1.3, 2.1 | 1.3: p. 29: 1,2,4,5,7
2.1: p. 41: 4,5,6,7,9,10,13,18,27 |
Sep 6 | Elimination | §2.2, 2.3 | 2.2: p. 53: 1,2,4,5,11,12,13
2.3: p. 66: 1,3,4,8,11,14,18,25,27,28 |
Sep 11 | Matrix Operations, Inverse Matrices | §2.4, 2.5 | 2.4: p. 77: 1,3,5,7,13,14,15,17,19,27
2.5: p. 92: 1,4,6,7,8,11,15,16,21,22,24,27 |
Sep 13 | Factorization A=LU | §2.6 | p. 104: 1,2,3,4,6,9,12,15, MATLAB examples for which you must import the function slu.m |
Sep 18 | Transposes and Permutations | §2.7 | p.117: 2,4,8,16,17,20,22* |
Sep 25 | Review | Sample Exam 1 | |
Sep 27 | EXAM 1 | ||
Oct 2 | Spaces of Vectors | §3.1 | p. 131: 1,3,5,9,11,15,19,20,23,25 |
Oct 4 | Nullspace of A | §3.2 | p. 142: 1,2,3,5,8,9,11,13,14,16,24,29 |
Oct 11 | Complete Solution to Ax=b | §3.3 | p. 158: 1,2,4,6,8,12,13,14,16,18,25 |
Oct 16 | Independence, Basis and Dimension | §3.4 | p. 175: 1,2,3,6,8,9,11,12,15,18,20,25 |
Oct 18 | Dimensions of the Four Subspaces | §3.5 | p. 190: 1,2,4,6,9,11,12,16,24 |
Oct 23 | Review | Review | Sample Exam 2 and Solutions to Problems 9 and 10 |
Oct 25 | EXAM 2 | ||
Oct 30 | Orthogonality of the Four Subspaces | §4.1 | p. 202: 1,3,5,6,8,9,10,11,12,16,28 |
Nov 1 | Projections | §4.2 | p. 214: 1,3,8,9,11,13,17,21,24,29 |
Nov 6 | Least Squares Approximations Orthogonal Bases and Gram-Schmidt | §4.3, 4.4 | 4.3: p. 229: 1,2,3,4,5,8,12
4.4: p. 242: 1,2,4,5,21 |
Nov 8 | Determinants | §5.1, 5.2 | 5.1: p.254: 1,3,8,9,10,11,14,23,24,27,28
5.2: p.266: 1,2,3,4,5 |
Nov 13 | Cramer's Rule, Inverses, and Volumes | §5.3 | p. 283: 2,3,16,17 |
Nov 15 | Review | Sample Exam 3 | |
Nov 20 | EXAM 3 | ||
Nov 22 | No Class | ||
Nov 27 | Eigenvalues | §6.1 | p. 298: 1,3,5,6,8,16,17,21,23,27. See Explained Visually |
Nov 29 | Diagonalizing a Matrix | §6.2 | p.314: 1,3,4,6,11,12,13,14,15,21,26 |
Dec 4 | Linear Transformations | §8.1 | p.407: 1,3,6,10,12 |
Dec 6 | Matrix of a Linear Transformation | §8.2 | p.418: 5,6,7,10,11,14,15,16. See Mathinsight.org applet |
Dec 11 | Review | Sample problems for chapters 6,8 |
Online resources:
MIT Linear Algebra MIT Videos, Problem Sets and Exams
MIT OpenCourseWare Linear Algebra Complete online linear algebra course.
Khan Academy Linear Algebra Complete online linear algebra course.
Eigenvectors and Eigenvalues Explained Visually
Mathinsight.org linear transformations applet
How Google Finds Your Needle in the Web's Haystack
Attendance policy: Attendance is mandatory. Unauthorized absences from four or more classes will result in a course grade of WU (Withdrew Unofficially).
Disability policy: Qualified students with disabilities will be provided reasonable academic accommodations if determined eligible by the Office for Disability Services. Prior to granting disability accommodations in this course, the instructor must receive written verification of student's eligibility from the Office of Disability Services, which is located in 1P-101. It is the student's responsibility to initiate contact with the Office for Disability Services staff and to follow the established procedures for having the accommodation notice sent to the instructor.
Integrity policy: CUNY's Academic Integrity Policy is available online at http://www.cuny.edu/about/info/policies/academic-integrity.pdf
Important Dates: www.csi.cuny.edu/currentstudents/academiccalendars