|1||Sarah Lamoureux||WH-326||Lamoureux||MWF: 8:00-9:30||OH-G102|
|2||Luke Elliott||WH107||Elliott||MWF: 8:00-9:30||CW-204|
|3||Quincy Loney||WH-332||Loney||MWF: 9:40-11:10||WH-G002|
|4||Wei Yang||WH-326||Yang||MWF: 11:20-12:50||AA-G007|
|5||Quincy Loney||WH-332||Loney||MWF: 11:20-12:50||WH-G002|
|6||Sarah Lamoureux||WH-326||Lamoureux||MWF: 1:10-2:40||CW-321|
|7||Quincy Loney||WH-332||Loney||MWF: 2:50-4:20||WH-G002|
|8||Thomas Zaslavsky||WH-216||Zaslavsky||MWF: 4:00-5:30||LH-005|
(*): To send an email to your instructor, click on the link in the Email column of the table.
Below is a partial syllabus with information for all sections that you should know. Your instructor may have a more detailed syllabus about how your section will be run.
The Math 304: Linear Algebra zyBook for Spring 2023. To purchase the zyBook for your section:
1. Sign in or create an account at learn.zybooks.com using your binghamton.edu e-mail address.
2. Enter the zyBook code given to you by your instructor.
3. Subscribe for $58.
Here are a few additional books that students and instructors may find helpful.
There are also resources for Linear Algebra on the internet, which may supplement the textbook and homework. For example, the following link takes you to a free website with exercises and feedback on your answers: MathMatize by Jonathan Herman
Three evening exams during the semester, and a Final Exam during final exams week, will be scheduled. Details are as follows:
Exam 1: Wednesday, February 15, LH-1, 8:15-9:45 PM
Exam 2: Wednesday, March 15, LH-1, 8:15-9:45 PM
Exam 3: Wednesday, April 26, LH-1, 8:15-9:45 PM
Final Exam: To be announced by the Registrar. Anyone with a final exam conflict must contact their instructor to make an arrangement.
Please arrive 10 minutes early for each exam to allow time for seating, and always bring your university ID. No calculators, cellphones or computers will be allowed during exams. A student who needs to leave the exam room during an exam must leave their cellphone in the room. Use of a cellphone to get answers to exam questions during an exam is cheating and will be treated as a violation of university honesty rules.
The course total will be determined as follows:
Quizzes: 15% (Quizzes should be given approximately once per week except in weeks when an exam is given.)
Exam 1: 15%
Exam 2: 15%
Exam 3: 15%
Final Exam: 30%
zyBook Assignments: 10% (Participation Activities (orange): 5% & Challenge Activities (blue) 5%)
Important: Besides the zyBook Participation and Challenge Activities, you should do the Additional Exercises (black) at the end of each section. This will not be graded, but it could be important to your success in the course.
Quizzes are important for students to keep up with the progress of the course and to provide timely feedback on how the material is being absorbed. By ``Assessment Day” enough quizzes should have been taken to evaluate each student's progress and make a risk assessment for early warning about problems.
At the end of the course, your grade in the course will be determined by your instructor based on your course total and the following approximate scale. (Borderline cases will be decided by other factors such as attendance or participation.)
A 90%, A- 85%, B+ 80%, B 75%, B- 70%, C+ 65%, C 55%, C- 50%, D 45%
Binghamton University follows the recommendations of public health experts to protect the health of students, faculty, staff and the community at large. Safeguarding public health depends on each of us strictly following requirements as they are instituted and for as long as they remain in force. Health and safety standards will be enforced in this course.
Current rules make face coverings optional, but when they are worn, they should completely cover both the nose and mouth while indoors (unless they are eating or alone in a private space like an office). A face shield is not an acceptable substitute. Classroom safety requirements will continue to be based on guidance from public health authorities and will be uniformly applied across campus. If these requirements change, a campus-wide announcement will be made to inform the University.
You are expected to spend about 12.5 hours per week on average for this class, including in-class lectures, watching instructional videos, solving homework problems (graded and ungraded), reviewing the material, and preparing for the tests. Expect the work load to be higher than average in the weeks before the exams.
During classes all students are expected to participate in a way that maximizes their learning and minimizes disruptions for their classmates. If you have any concerns, limitations, or circumstances, please communicate with your instructor to find the most appropriate solution.
For all graded assignments and exams, you are not allowed to use any help not explicitly authorized by your instructor. This includes, but is not limited to, problem-solving websites, notes, help from other people, etc. All instances of academic dishonesty will be investigated, penalized, and referred to the appropriate University officials for maximal possible punishment. Cheating will not be tolerated.
If you fall behind in class, or need extra help to learn the material, talk to your instructor as soon as you can. They should be able to help you and also point you to other resources. We also encourage you to talk to your classmates, and, in particular, to form informal study groups to prepare for the exams.
If you have a disability for which you are or may be requesting an accommodation, please contact both your instructor and the Services for Students with Disabilities office (119 University Union, 607-777-2686) as early in the term as possible. Note: extended time for the examinations may require special scheduling.
The table below contains suggested problems from sections of our additional textbooks in the format “Chapter:Section.Subsection.ProblemNumber”. Your instructor may suggest other problems or exercises. These problems are for practice only and are not to be turned in.
The order in which material is presented in class meetings will be determined by your instructor, and may not precisely follow the order of topics below.
|Introduction, preview, examples; linear combination||Hefferon Ch. 1, I.1||1:I.1.17,19,21|
|Gaussian elimination (reduction)||Hefferon Ch. 1, I.1||1:I.1.22,24,27,32|
|(Augmented) matrix of a system, solution set||Hefferon Ch. 1, I.2||1:I.2.15,16,17,18,21,25|
|Basic logic: statements, connectives, quantifiers||Hefferon Appendix|
|Set theory, general functions||Hefferon Appendix|
|Homogeneous and non-homogeneous systems (no formal induction in Lemma 3.6)||Hefferon Ch. 1, I.3||1:I.3.15,17,18,20,21,24|
|Points, vectors, lines, planes||Hefferon Ch. 1, II.1||1:II.1.1,2,3,4,7|
|Distance, dot product, angles, Cauchy-Schwarz and Triangle Inequalities||Hefferon Ch. 1, II.2||1:II.2.11,12,14,16,17,21,22|
|Gauss-Jordan reduction, reduced row echelon form||Hefferon Ch. 1, III.1||1:III.1.8,9,10,12,13,14,15|
|Linear combination lemma, uniqueness of RREF (no proofs of 2.5, 2.6)||Hefferon Ch. 1, III.2||1:III.2.11,14,20,21,24|
|Matrix operations, including the transpose. Linear system as a matrix equation||Matthews 2.1||3:III.1.13,14,15,16|
|Linear maps (transformations) given by matrices||Matthews 2.2||3:III.1.19; 3:III.2.12,17,30|
|Vector spaces: definition, examples||Hefferon Ch. 2, I.1||2:I.1.17,18,19,21,22,29,30|
|Linear maps between vector spaces||Hefferon Ch. 3, II.1||3:II.1.18,19,20,22,24,25,26,28|
|Subspaces. Span||Hefferon Ch. 2, I.2||2:I.2.20,21,23,25,26,29,44,45|
|Linear independence||Hefferon Ch. 2, II.1||2:II.1.21,22,25,28|
|Properties of linear independence||Hefferon Ch. 2, II.1||2:II.1.29,30,32,33|
|Basis of a vector space||Hefferon Ch. 2, III.1||2:III.1.20,21,22,23,24,25,26,30,31,34|
|Dimension of a vector space||Hefferon Ch. 2, III.2||2:III.2.15,16,17,18,19,20,21,24,25,28|
|Column space, row space, rank||Hefferon Ch. 2, III.3||2:III.3.17,18,19,20,21,23,29,32,39|
|Range space and Kernel (Null space)||Hefferon Ch. 3, II.2||3:II.2.21,23,24,26,31,35|
|Invertible matrices: definition, equivalent conditions; inverse matrix||Hefferon Ch.3, IV.4||3:IV.4.13,14,15,16,17,18,19,26,29|
|Elementary matrices. Row reduction using elementary matrices||Hefferon Ch. 3, IV.3; CDTW Ch. 2, 2.3||3:IV.3.24,25,32|
|Determinant of a matrix, properties||Hefferon Ch. 4, I.1, I.2||4:I.1.1,3,4,6,9; 4:I.2.8,9,12,13,15,18|
|More on Determinants||Hefferon Ch. 4, II.1, III.1||4:III.1.11,14,16,17,20,21,22|
|Matrix of a linear transformation, matrix of the composition, inverse||Hefferon Ch. 3, III.1, IV.2||3:III.1.13,17,18,19,21,23|
|Change of basis, similar matrices||Hefferon Ch. 3, V.1, V.2; Ch. 5, II.1||3:V.1.7,9,10,12; 5:II.1.5,8,11,13,14|
|Complex numbers||Matthews 5.1–5.6||Matthews 5.8.1,2,5,6,7,9|
|Eigenvectors, eigenvalues, eigenspaces for matrices and linear operators. Characteristic polynomial||Matthews 6.1, 6.2; Hefferon Ch. 5, II.3||5:II.3.23,24,25,26,27,28,29,30,31|
|Diagonalization of matrices||Hefferon Ch. 5, II.2, II.3||5:II.3.22,33,36,46|
|Orthogonal and orthonormal bases of $R^n$ and its subspaces; orthogonal matrices||Hefferon Ch. 3, VI.1, VI.2||3:VI.1.6,7,17,19; 3:VI.2.10|
|Orthogonal complement of a subspace, orthogonal projection||Hefferon Ch. 3, VI.3||3:VI.3.11,12,13,14,26,27|
|Gram-Schmidt process; orthogonal diagonalization of matrices||Hefferon Ch. 3, VI.2||3:VI.2.13,15,17,18,19,22|
The syllabus for Math 304 in Fall 2022 is available through this link:
The syllabus for Math 304 in Spring 2022 is available through this link:
The syllabus for Math 304 in Fall 2021 is available through this link:
The syllabus for Math 304 in Spring 2021 is available through this link:
The syllabus for Math 304 in Fall 2020 is available through this link: