Linear Algebra - Math 304 [Department of Mathematics and Statistics, Binghamton University]

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===== Linear Algebra - Math 304 ======

==== Fall 2026 -- Course Coordinator: Hung Tong-Viet ====

==== Sections ====
^Sec^Instructor^Office^Email(*)^Meets^Room|
|1|Pratik Misra|WH-107|[[pmisra@binghamton.edu|Misra]] |MWF: 8:00-9:30|WH-G002|
|2|Hung Tong-Viet|WH-108|[[htongvie@binghamton.edu|Tong-Viet]]|MWF: 9:45-11:15|WH-G002|
|3|Hari Nathan|WH-334|[[hnathan@binghamton.edu|Nathan]]|MWF: 11:45-1:15|WH-G002|
|4|Michael Dobbins|WH-214|[[mdobbins@binghamton.edu|Dobbins]]|MWF: 1:30-3:00|FA-209|
|5|Hari Nathan|WH-334|[[hnathan@binghamton.edu|Nathan]]|MWF: 1:30-3:00|WH-G002|
|6|Ryan McCulloch|WH-335|[[rmccull1@binghamton.edu|McCulloch]]|MWF: 3:15-4:45|WH-G002|
|7|Hari Asokan|WH-335|[[hasokan1@binghamton.edu|Asokan]]|MWF: 5:00-6:30|WH-G002|
(*): 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.


==== Textbook (Required) ====
Linear Algebra and Its Applications, 6/e, by Lay/McDonald, Pearson+ etext

This course is participating in Binghamton University’s Inclusive Access Program, and your access code will be delivered via the B&N Course Materials link in Brightspace.

You should not purchase access to your Pearson materials unless you have opted out of Binghamton University’s Inclusive Access Program. If you plan to opt out, please do not use the access code that was distributed to you via the B&N Course Materials link through your Brightspace course. If you plan to opt out, but cannot immediately purchase access to your course materials, please use Pearson’s Temporary Access which can be located via your link to MyLab, Mastering, or Revel. Otherwise, please follow the 2-part directions below.

(1) To get started, go to your Brightspace course, and click on the content area for the B&N Course Materials link. Navigate to the Courseware product you'd like to access and click "Reveal access code". Write down your access code or copy & paste it into a separate word/text file.

(2) Now that you’ve acquired your access code, navigate back to your Brightspace course, and go to the Pearson Access link (MyLab/Mastering/Revel) in your Brightspace course to begin the registration process. When prompted, type in the Access Code you copied/saved and complete your registration process. 

The following more detailed instructions have been provided by a Pearson representative. Images of the webpages for each step are available from a pdf file {{:math304:math_304_brightspace_directions.pdf|here}}.

Login to Brightspace and click on your MATH 304 course.
    
Click Course Tools -> Course Materials - B&N First Day 
    
Click Reveal Access Code
    
Click Copy (under Copy Code)
 
Navigate back to your MATH 304 course. Scroll to the bottom. Click Course Materials.

Click the Pearson link

Login to your Pearson account or Create An Account if you do not already have one

Click Access Code

Paste the access code you copied earlier and click Finish

Click Go to My Course

You have successfully enrolled in your course! Please ensure you have access to the eText and Study Plan.

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We would like to thank Marissa Rivera, a Pearson representative, who held virtual office hours at the beginning of the semester to help students having trouble accessing the textbook and MyLab homework system. 
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==== Additional Textbooks and Resources (Supplemental) ====

Here are a few additional books that students and instructors may find helpful.


[[http://joshua.smcvt.edu/linearalgebra/book.pdf|Linear Algebra by Jim Hefferon]]. 
One can access additional free resources at the [[https://hefferon.net/linearalgebra/index.html|textbook's official website]].


[[http://linear.ups.edu/download/fcla-3.50-tablet.pdf|A First Course in Linear Algebra by Robert A. Beezer]]

[[http://www.numbertheory.org/book/mp103.pdf|Elementary Linear Algebra by K.R. Matthews]]

[[https://www.math.ucdavis.edu/~linear/linear-guest.pdf|Linear Algebra by D. Cherney, T. Denton, R. Thomas, and A. Waldron]]

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: 
[[http://www.mathmatize.com|MathMatize by Jonathan Herman]]
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==== Approximate Exam Schedule ====

Each section instructor will decide when it is appropriate to give Exams 1, 2, 3.

Exam 1: The week of September 14.

Exam 2: The week of October 19. (Note: The withdraw deadline is Thursday, October 29 at 11:59 p.m.)

Exam 3: The week of November 16.

Final Exam: Common exam for all sections: 

**Anyone with an illness or special situation that would interfere with taking an exam must contact their instructor as soon as possible (before the exam is best) to explain the situation and schedule a make-up exam if the instructor agrees. Not feeling prepared for an exam is not a valid excuse to miss it. Personal medical information does not need to be given, but some form of verification would help your instructor make an informed decision.**

**Anyone with a final exam conflict must contact their instructor to make an arrangement.**

** Additional information about the Final Exam procedures: **

You should plan to be at the exam location 15 to 20 minutes before the exam starts. You will be told when you can enter the room and where to sit. Exams will be placed on the seats spaced apart, and students from each section should be sitting together in the same area. That way you can have questions answered by your familiar instructor.

You need to bring only writing instruments (pencils and erasers are recommended). No cellphones, earbuds, smart watches, laptops or other electronic devices will be allowed during the exam, and you may be asked to produce a university ID card to prove your identity. Students who come late will not receive any extra time at the end. Students who have accommodations from the SSD will take this exam at the University Testing Center as scheduled starting at the same time as everyone else.

Having a ride that wants to leave early is NOT a reason for missing the final exam, and will not get a make-up exam or an incomplete.

ONLY A COMPLETE CANCELLATION OF ALL EXAMS BY THE ADMINISTRATION WOULD CHANGE THESE ARRANGEMENTS.
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==== Grades ====

The course total will be determined as follows:

Quizzes: 10% (Quizzes should be given approximately once per week except in weeks when an exam is given.)

Exam 1: 20%

Exam 2: 20%

Exam 3: 20%

Final Exam: 30%

MyLab Assignments (Common for all sections) and attendance may be taken into consideration in borderline cases.
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**Important:** To truly master the material in the course, it is recommended that in addition to the assigned MyLab problems, you should do additional exercises at the end of each section. These will not be graded, but they 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. 

A 90%, A- 85%, B+ 80%, B 75%, B- 70%, C+ 65%, C 60%, C- 55%, D 50%
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==== Expected workload ====

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. 

==== Expected behavior in class ====

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.

==== Academic Code of Honor ====

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, ChatGPT or other AI programs, 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.** 

==== Getting Help ====

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. 

==== Disability Information ====

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 (SSD) (119 University Union, 607-777-2686) as early in the term as possible. Note: extended time for the examinations usually requires special scheduling at the University Testing Center (UTC), and must be arranged by your instructor.

==== Attendance Policy ====

The following is a quote from the Binghamton University Catalog concerning attendance policy.
Based on this university policy, any student who misses more than 25 percent of the scheduled class meetings of Math 304 (without prior approval from their instructor for the missed classes) may be given a grade of F for the course. Classes missed for religious holidays do not count towards that 25 percent, but excessive time taken for travel or personal convenience may be counted.

VII.B.2. Student Attendance and Classroom Discipline

Reporting Absences

``Students are expected to attend all scheduled classes, laboratories, and discussions. Instructors may establish their own attendance criteria for a course. They may establish the number of unexcused absences permitted to receive credit for the course and the number of absences, after which the final grade may be adjusted downward. In such cases, the instructor is expected to stipulate such requirements in the syllabus and make the syllabus available to students at or near the beginning of classes. In the absence of such statements, instructors have the right to deny a student the privilege of taking the final examination or of receiving credit for the course or may prescribe other academic penalties if the student misses more than 25 percent of the total class sessions. Excessive tardiness may count as an absence” 
([[https://catalog.binghamton.edu/content.php?catoid=2&navoid=66|Policies and Procedures Section of the Binghamton University Academic Guide]]).

==== Topics Corresponding to Chapters in our Textbook ====

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Some instructors may follow the textbook more closely than others. Instructors who use their own lecture notes may have exams with different contents than the topics listed below. Be sure to listen to your instructor so you know what topics will be covered on your section exams. Only the final exam will be a common exam for all sections.
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^ Topics for Exam 1 ^ Chapter  ^ 
|Systems of Linear Equations| 1.1| 
|Row Reduction and Echelon Forms| 1.2| 
|Vector Equations| 1.3|
|Matrix Equations| 1.4|
|Solution Sets of Linear Systems| 1.5|
|Linear Independence| 1.7|
|Linear Transformations| 1.8|
|Standard Matrix for a Linear Transformation| 1.9|
|Matrix Operations| 2.1|
|Invertible Matrices| 2.2|
|Invertible Matrix Theorem| 2.3|
^ Topics for Exam 2 ^  ^
|Determinants| 3.1|
|Properties of Determinants| 3.2|
|Applications of Determinants (Not responsible for Cramer's Rule or Adjugates)| 3.3|
|Abstract Vector Spaces| 4.1|
|Fundamental Subspaces| 4.2|
|Bases| 4.3|
|Coordinate Systems| 4.4|
|Dimension| 4.5|
|Change of Basis Matrices| 4.6|
^ Topics for Exam 3 ^  ^
|Eigenvalues and Eigenvectors| 5.1|
|Characteristic Equations| 5.2|
|Diagonalization| 5.3|
|Matrix for a Linear Transformation|5.4|
|Complex Eigendata|5.5|
|Inner Products|6.1|
|Orthogonal Sets|6.2|
|Orthogonal Projections|6.3|
|Gram-Schmidt|6.4|
^ Additional Topics ^  ^
|Inner Product Spaces|6.7|
|Symmetric Matrices|7.1|