Instructor: Dusa McDuff
Instructor's Office Hours: Math Building 3-111: Monday 1-2:10, Tuesday 12:15 - 1:30 and by appt. You are always welcome to contact me by email (dusa at math.sunysb.edu) either to ask a short question or to set up an appointment to see me.
Grader: Mohamed Hassan
Grader's Office Hours: Monday 5--7pm in Physics C117 and by appt.
Textbook:
Bretscher, Linear Algebra with Applications, 3rd Ed., Pearson/Prentice-Hall
(two copies are available on reserve in the Math/Physics/Astronomy Library)Link to an on line tutorial on Linear Algebra by Avi Goldman. It is worth looking at this from time to time since it contains useful outside links and notes on the topics of the course.
Click here for a link to the CURRENT HOMEWORK. This page also contains links to solutions.Course Notes:
Prerequisites/Corequisites:
You are assumed to have had at least one semester of calculus. If you have not yet studied integration, you should be taking the relevant calculus course (e.g. MAT 126) concurrently with this one, as some important problems and examples in this course require a knowledge of integration.
The Nature Of The Course:
This course is an introduction to the theory which has developed around the solution of systems of linear equations. The importance of this theory as a tool in the social, natural, and mathematical sciences cannot be overestimated. (To get some idea of why this is the case, click here, check out the links of interest below, or take a look through your textbook.) You should keep this in mind throughout the semester, especially if the course material ever seems "too weird" or "too abstract" to be useful.
You should also keep in mind that this course is quite distinct in nature from others you have taken. Regardless of your performance in previous math courses, do not be discouraged if you find yourself wrestling with a problem or a concept for hours. Doing many computations is essential to understanding the material, but mindlessly applying memorized techniques while ignoring their theoretical framework will not get you very far. It helps to be proactive in analyzing and even creating examples (not necessarily complicated ones!) that illuminate the theory.
Course Format:
You will get most out of the classes if you prepare beforehand by reading the relevant section in the textbook before class. I am always glad to answer questions during class. Since this class has no recitations, I will aim to set aside some class time each week for doing examples and discussing the homework. If you have more questions, please talk to me after class or come to my office hours (or go to the Math Learning Center in Math Building S-240A.) There will be a review session before each exam, to be scheduled later.
Some links of interest
A nice expository paper on the use of linear algebra in search engines.
A useful online linear algebra text with many worked examples and exercises with solutions.
Homework:
As always in a mathematics class, doing the homework is an essential part of learning the course material. It is often good to study together with other students. However the work you hand in must be written in your own words, not copied from someone else. The homework assignments are listed here. Due dates for homework assignments are listed in the schedule below. They are due at the beginning of class on their due date, typically Wednesday unless it just before a test. (The first one (a half homework) is due on Wednesday January 25!) Submissions consisting of multiple pages must be stapled together. If you cannot get to class, hand them in to my office (Math 3-111) before class. Late homework will be penalized severely (by at least 20%), and will not be accepted if it is too much overdue. The instructor will hand the homeworks back at the beginning of class. The grader has the final say on all homework grades.
If all goes as planned, 11 full homeworks and 3 half homeworks will be assigned during the semester. Your total homework grade will be the sum of the grades of your best 10 homeworks. (One of these might consist of two halves.) Each full homework will be graded on a 20-point system as follows. Five problems (not necessarily the five most difficult ones) will be graded completely, and they each account for 3 points. In order to receive full credit for your solutions to these, each step must be stated clearly and in the correct order, and each statement in English must be a complete and correct sentence. The remaining 5 points are accounted for by a substantial attempt at solving all the remaining problems; a penalty of at least 1 point will be incurred for each one which has not been adequately attempted. A sequence of relevant calculations and/or a list of relevant ideas counts as an adequate attempt, whereas leaving a blank or writing "I don't know" does not.Examinations:
Please note that examinations are not graded on a curve, nor are the final grades curved. Thus you are not competing against your fellow students for a limited number of top grades. There will be two methods of computing the final grade, and you will get the better of the two. One is a weighted average of your work throughout the semester; the other is based entirely on the final, but your grade here will be somewhat discounted. Thus in order to get a C on the basis of the final alone you would have to get at least a C+ on the exam. If at any point in the semester you are seriously concerned with your standing in the class, you are invited to discuss your concerns in detail with me.Any use of cellphones, calculators, books, or notes while an exam is underway will be considered cheating. If you miss an exam for an acceptable reason and provide me with an acceptable written excuse, the relevant exam will be dropped in computing your course grade. A letter stating that you were seen by a doctor or other medical personnel is not an acceptable document. An acceptable document should state that it was reasonable/proper for you to seek medical attention and medically necessary for you to miss the exam (for privacy reasons the note/letter need not state anything beyond this point). Incomplete grades will be granted only if documented circumstances beyond your control prevent you from completing 50% or more of all class assignments.
Grading:
Your raw grade will be based on your examination performance and homework, weighted as follows:
| Exam I | 25% |
| Exam II | 25% |
| Final Exam | 30% |
| Homework | 20% |
The grade you receive in the course will be the maximum of your raw grade and 90% of your final exam grade.
DSS advisory:
If you have a
physical,
psychological,
medical, or learning disability that may affect your course work,
please contact Disability Support
Services (DSS) office: ECC (Educational Communications Center)
Building, room 128, telephone (631) 632-6748/TDD.
DSS will determine with you what accommodations are necessary and
appropriate. Arrangements should be made early in the semester (before
the first exam) so that your needs can be accommodated. All information
and documentation of disability
is confidential.
Students requiring emergency evacuation are encouraged to discuss their
needs with
their professors and DSS. For procedures and information, go to the
following web site http://www.ehs.sunysb.edu
and search Fire safety and
Evacuation and Disabilities.
Schedule (tentative):
The following is the basic syllabus. Please read the relevant parts of the book before class.
| Day of | Homework due | Sections Covered |
| January 23 |
1.1 (Introduction to Linear Systems) | |
| January 25 |
Half Homework 1 | 1.2 (Matrices, Vectors, and Gauss-Jordan Elimination) |
| January 30 |
1.3 (On the Solutions of Linear Systems; Matrix Algebra) | |
| February 1 |
Homework 2 | 2.1 (Introduction to Linear Transformations And Their Inverses) |
| February 6 |
2.2 (Linear Transformations in Geometry) | |
| February 8 |
Homework 3 | 2.3 (The Inverse of a Linear Transformation) | February 13 |
2.4 (Matrix Products) |
| February 15 |
Homework 4 | 3.1 (Image and Kernel of a Linear Transformation) |
| February 20 |
3.2 (Subspaces of R^n; Bases and Linear Independence) | |
| February 22 |
Homework 5 | 3.3 (The Dimension of a Subspace of R^n) |
| February 27 |
Half Homework 6 | 3.4 (Coordinates); Review |
| March 1 |
Exam I (on everything from 1.1 up to and including 3.3) | |
| March 6 |
4.1 (Introduction to Linear Spaces) | |
| March 8 |
Homework 7 | 4.2 (Linear Transformations and Isomorphisms) |
| March 13 |
4.3 (The Matrix of a Linear Transformation) | |
| March15 |
Homework 8 | 5.1 (Orthogonal Projections and Orthonormal Bases) |
| March 20 |
5.2 (Gram-Schmidt Process and QR Factorization) | |
| March 22 |
Homework 9 | 5.3 (Orthogonal Transformations and Orthogonal Matrices) |
| March 27 |
Half Homework 10 | 5.5 (Inner Product Spaces) |
| March 29 |
Exam II (on everything from 3.4 up to and including 5.3) | |
| April 3 |
6.1 (Introduction to Determinants) | |
| April 5 |
Half Homework 11 | 6.2 (Properties of the Determinant) |
| April 17 |
6.3 (Geometrical Interpretations of the Determinant; Cramer's Rule) | |
| April 19 |
Homework 12 | Ch 7.1: Dynamical systems and eigenvectors |
| April 24 |
7.2 (Finding the Eigenvalues of a Matrix) | |
| April 26 |
Homework 13 | 7.3 (Finding the Eigenvectors of a Matrix) |
| May 1 |
7.4 (Diagonalization) | |
| May 3 |
Homework 14 | Review |
| May 10 |
Final Exam (Cumulative) |