Math 3333.003, Fall 2025

Week	Lecture topics for the week	Monday	Tuesday	Wednesday	Thursday	Friday
1	1.1 Systems of Linear Equations 1.2 Row Reduction and Echelon Forms	Aug 25 First day of lecture	Aug 26	Aug 27	Aug 28	Aug 29
2	1.2 Row Reduction and Echelon Forms	Sep 1 Labour Day Holiday - no class	Sep 2	Sep 3	Sep 4	Sep 5
3	1.3 Vector Equations 1.4 The Matrix Equation Ax=b 1.5 Solution Sets of Linear Systems	Sep 8 HW 1 due	Sep 9 Deadline to Drop without "W"	Sep 10 HW 1 Late Due Date	Sep 11	Sep 12
4	1.7 Linear Independence Catch-up/Review for Midterm 1	Sep 15 HW 2 due	Sep 16	Sep 17 HW 2 Late Due Date	Sep 18	Sep 19
5	1.8 Introduction to Linear Transformations 1.9 The Matrix of a Linear Transformation	Sep 22 HW 3 due	Sep 23	Sep 24 HW 3 Late Due Date Midterm Exam 1 11:00am-11:50am PHSC 100	Sep 25	Sep 26
6	2.1 Matrix Operations 2.3 Characterisation of Invertible Matrices	Sep 29	Sep 30	Oct 1 HW 4 due	Oct 2	Oct 3 HW 4 Late Due Date
7	2.2 The Inverse of a Matrix	Oct 6	Oct 7	Oct 8	Oct 9 HW 5 due	Oct 10 no class
8	2.8 Subspaces of R^n 2.9 Dimension and Rank	Oct 13	Oct 14 HW 5 Late Due Date	Oct 15	Oct 16	Oct 17
9	Catch-up/Review for Midterm 2 2.9 Dimension and Rank	Oct 20 HW 6 due	Oct 21	Oct 22 HW 6 Late Due Date Midterm Exam 2 11:00am-11:50am PHSC 100	Oct 23	Oct 24
10	L.22 Change of Basis 3.1 Introduction to Determinants 3.2 Properties of Determinants	Oct 27	Oct 28	Oct 29	Oct 30	Oct 31 Lecture Recording Available in Canvas. No In-Person/Remote Class
11	5.1 Eigenvectors and Eigenvalues 5.2 The Characteristic Equation 5.3 Diagonalization	Nov 3 HW 7 due Lecture Recording Available in Canvas. No In-Person/Remote Class	Nov 4	Nov 5 HW 7 Late Due Date	Nov 6	Nov 7
12	6.1 Inner Product, Length, and Orthogonality 6.2 Orthogonal Sets 7.1 Diagonalization of Symmetric Matrices	Nov 10 HW 8 due	Nov 11	Nov 12 HW 8 Late Due Date	Nov 13	Nov 14 Deadline to Drop with "W"
13	Catch-up/Review for Midterm 3 4.1 Vector Spaces and Subspaces	Nov 17 HW 9 due	Nov 18	Nov 19 HW 9 Late Due Date Midterm Exam 3 11:00am-11:50am PHSC 100	Nov 20	Nov 21
14	4.2 Null Spaces, Column Spaces, and Linear Transformations 4.3 Linearly Independent Sets; Bases	Nov 24	Nov 25	Nov 26 Thanksgiving Vacation	Nov 27 Thanksgiving Vacation	Nov 28 Thanksgiving Vacation
15	4.4 Coordinate Systems 4.5 The Dimension of a Vector Space	Dec 1	Dec 2	Dec 3 HW 10 due	Dec 4	Dec 5 HW 10 Late Due Date
16	Final Exam Preparation Period	Dec 8	Dec 9	Dec 10	Dec 11	Dec 12
17	Finals Week	Dec 15 Final Exam 1:30pm-3:30pm PHSC 100	Dec 16	Dec 17	Dec 18	Dec 19

Syllabus

Course: Math 3333

Title: Linear Algebra

Credit Hours: 3

Prerequisite: MATH 2123 or MATH 1823 or MATH 1914 or permission of instructor. .

Catalog Description: Systems of linear equations, determinants, finite dimensional vector spaces, linear transformations and matrices, characteristic values and vectors.

Official University Policies The syllabus below will serve as a general guide for the administrative policies governing the course. For a further details please refer to the Official University Policy

Textbook: Linear Algebra and its Applications (5th Edition), by David C. Lay, Steven R. Lay, and Judi J. McDonald; published by Pearson (Addison Wesley).

Subject Material: We will cover parts of Chapters 1-5 of the text possibly also touching on chapter(s) 6 and/or 7.

Learning Outcomes: In this course, the assessable content is defined by the learning outcomes attached here (last updated: 09/13/25). The lecturer will periodically update this list as he prepares the lectures for the course. Students are encouraged to regularly review these learning outcomes, especially as they prepare for their midterms and final exam.

Lecture: Attending the lecture is a fundamental part of the course; you are responsible for material presented in the lecture whether or not it is discussed in the textbook. You should expect questions on the exams that will test your understanding of concepts discussed in the lecture. Lectures will be delivered in a hybrid format so that students can either attend in-person, or remotely via zoom. After lecture, the lecture recordings will be made available to students in the my media library.

Homework: Homework is a very important part of the course and in order to fully master the topics it is essential that you work carefully on every assignment and try your best to complete every problem. Homework is due at 11:59pm on the days listed in the calendar above. Well in advance of the due date for a given homework assignment, students should navigate to Canvas and download the PDF file for the relevant homework set. Student will then solve the problems on their own paper, scan their solutions to create a PDF, and upload the PDF to the relevant assignment in Gradescope. Students can also use tablets/iPads to skip the scanning step. In the computation of a student's final grade, each homework assignment is weighted equally and accounts for 2% of the final grade. No homework assignment scores will be dropped at the end of the semester.

Late Homework Submissions: Students may find that, for whatever reason, they are unable to submit a given homework assignment by 11:59pm on the due date. The submission window for a given homework assignment will remain open on Gradescope until 11:59pm on the relevant late due date listed in the calendar above. Any homework assignment submitted after 11:59pm on the initial due date and before 11:59pm on the late due date is considered late . Late homeworks will be graded as usual. If a student submits two or less late homework(s) over the course of the semester then the late homework score(s) will contribute to their final grades as if they were submitted on time. If a student submits three or more late homeworks over the course of the semester, then the two highest scoring late homeworks will contribute to their final grade as if they were submitted on time. The remaining late homework(s) will be scored as zeros. The lecturer will not accept homework submission after 11:59pm on the late due date.

Exams: The midterm exams and final exam are scheduled for the Wednesdays of Week 5, Week 9, Week 13, and the Monday of finals week. The midterms and the final exam will take place in-person. All exams for this course will be closed note/book, and cheat sheets and calculators are not allowed. Students must bring their Sooner ID card to all exams.

Exam Versions: There may be different versions of exams given. All versions of any exam will consist of questions from the same range of topics and will be calibrated to the same level of difficulty.

Collaboration Guidelines: You might be tempted to work with others on your homework. Or consult the internet. Or ask someone who has completed the class. In the modern age, it is quite easy to find the answer to almost any question on any homework assignment in any class. Because of this, you need to adopt a personal credo that maximizes your growth as an intellectual. Here is what I ask: You make a serious effort on every single problem, by yourself, before you seek any help. When you do seek help, ask for small hints and push yourself to overcome your personal challenges with the least assistance possible. Never search the internet for how to do a problem. Never allow someone to give you too much of a hint. Never give someone too much of a hint. Never show someone how to completely do a problem. If you want to work with someone else, make sure both of you have put in serious time on the problem alone, and then note whom you worked with on your homework.

Academic Integrity: It is essential that every student adhere to the OU Academic Integrity Code. Penalties for violating the code vary depending on the circumstances but can include the assignment of a failing grade in the course or suspension from the university.

Grading Policies: Final grades will be calculated as the maximum of the following two grading schemes:

Formula 1

20% Homework
15% Midterm Exam 1
15% Midterm Exam 2
15% Midterm Exam 3
35% Final Exam

Formula 2

20% Homework
15% Best Midterm Exam
15% Second Best Midterm Exam
50% Final Exam

Your letter grade will be determined by your cumulative average at the end of the term and will be based on the following scale:

A	B	C	D
90	80	70	60

Note that the circumstances under which the instructor will consider issuing make-up exams are very limited. If you miss a midterm exam because of any reason (sickness, car trouble, family emergency, etc.), then chance are your grade will be calculated using Formula 2. I do not curve particular homework scores or exams. If any curve is applied, it will be at the end of the class on the final course grade. I do not believe in pre-set distributions (i.e., this % of students should earn an A, this % should earn a B, etc). In my class, if you make a grade cutoff, you earn that grade.

Regrade Policy: Your homework and exams will be graded using Gradescope. If you find errors in the grading of your written work, you will have an opportunity to request a regrade through Gradescope. A regrade window will open the day after the scores are posted, and it will stay open for one week for each midterm and a few days for the final (depending on how quickly the exam is graded). During this time window you will be able to leave careful, thoughtful comments about where you feel a grading error was made. No regrade requests will be considered after the specified window closes. Please note: any regrade request may result in regrading of the entire assignment, and your overall score could go up or down.

Considerate Conduct: Here are a few of our expectations for etiquette in and out of class.

Entering/exiting class: Please arrive on time and stay for the entire class/section period. If, despite your best efforts, you arrive late, please enter quietly through the rear door and take a seat near where you entered. Similarly, in the rare event that you must leave early (e.g. for a medical appointment), please sit close to the rear exit and leave as unobtrusively as possible.
Noise and common courtesy: Wait until class/section is over before putting your materials away in your backpack, standing up, or talking to friends. Do not disturb others by engaging in disruptive behaviour. Disruption interferes with the learning environment and impairs the ability of others to focus, participate, and engage.
Electronic devices: Please do not use devices (such as phones, laptops, and tablets) for non-class-related matters while in class/section. No visual or audio recording is allowed in class without the expressed permission of the instructor.
Messaging etiquette: You are expected to write as you would in any professional correspondence. Email and other written communication should be courteous and respectful in manner and tone. Please do not send/post messages that are curt or demanding.

About Incomplete Grades: On very rare occasion, a student must miss the Final Exam because of extraordinary circumstances. In this case, the only possible option is an incomplete grade. The following conditions must be meet in order for the instructor to consider issuing an incomplete grade:

The situation must be beyond the student’s control (such as a serious illness or family emergency), and the student must carefully document the circumstances. The instructor will request and follow-up on this documentation.
The student’s work at the time of the request must be of passing quality. To determine this, the following weighting scale will be applied: 20% Homework, 40% Best Midterm Grade, 40% 2nd Best Midterm Grade. If your grade calculated in this way (after rounding) is at least 70%, then your work is of passing quality. If not, you cannot qualify for an incomplete.

Access and Opportunity: The instructor is committed to fostering a equitable learning environment for this course that supports a diversity of thoughts, perspectives, and experiences, and respects your identities, including race, ethnicity, heritage, gender, sex, class, sexuality, religion, ability, age, educational background, etc. The goal is to create an empowering learning environment where all students can thrive and succeed.

If there is anything the instructor can do to improve your access to the course resources please contact him, either in person, via email, or even in a note under the door.

The instructor expects that you, as a student in this course, will honour and respect your classmates. If you experience any sort of harassment or discrimination, please consider notifying the instructor as soon as possible. If you prefer to speak with someone outside of the course, you can also reach out to contact OU Report It!

Math 3333: Linear Algebra

Lecture (McGlade)

Course Information

Calendar

Syllabus