Math 1553 exam archive
Below, you can find old exams from Math 1553, Introduction to Linear Algebra.Giant disclaimer
1. Some of these exams may have accidentally been modified in the years between when they were last used and when they were recompiled for this archive. For example, when recompiling old files to put the exams and their solutions here, I may have accidentally mismatched an exam's not-quite-final draft with the solutions of the final draft (or vice versa), or I may have accidentally modified the solutions when copying the old file to a new course. With this in mind, there may be some issues. If you see any, please send me an email and I will look into it.2. In order to consolidate exam resources while avoiding repetition, we did not include sample midterms here because they are largely compiled from past midterms.
3. Some semesters will have sample finals posted, whereas other semesters have the actual final exams posted. This just depends on how the instructional team did things in a given semester.
Fall 2024 (midterms were 75 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.4, Matrix Multiplication.
Midterm 3 (and solutions): covered through 5.5, Complex Eigenvalues.
Final (and solutions).
Spring 2024 (midterms were 75 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.6, The Invertible Matrix Theorem.
Midterm 3 (and solutions): covered through 5.6, Stochastic Matrices.
Final (and solutions).
Fall 2023 (midterms were 75 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.4, Matrix Multiplication.
Midterm 3 (and solutions): covered through 5.5, Complex Eigenvalues.
Final (and solutions).
Spring 2023 (midterms were 75 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.6, The Invertible Matrix Theorem.
Midterm 3 (and solutions): covered through 5.6, Stochastic Matrices.
Final (and solutions).
Fall 2022
I was not the course coordinator in Fall 2022. I do not have the exams from that semester, and I will not post them.Spring 2022 (midterms were 75 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.6, The Invertible Matrix Theorem.
Midterm 3 (and solutions): covered through 5.6, Stochastic Matrices.
Final (and solutions).
Spring 2020 through Fall 2021
Midterms were moved online temporarily. They will not be posted.Fall 2019 (midterms were 50 minutes)
Midterm 1 (and solutions): covered through 2.5, Linear Independence.Midterm 2 (and solutions): covered through 3.6, The Invertible Matrix Theorem.
Midterm 3 (and solutions): covered through 5.5, Complex Eigenvalues.
Final (and solutions).
Spring 2019 (midterms were 50 minutes)
Midterm 1 (and solutions): covered through 2.5, Linear Independence.Midterm 2 (and solutions): covered through 3.6, The Invertible Matrix Theorem.
Midterm 3 (and solutions): covered through 5.6, Stochastic Matrices.
Final (and solutions).
Fall 2018 (midterms were 50 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution sets.Midterm 2 (and solutions): covered through 3.4, Matrix multiplication.
Midterm 3 (and solutions): covered through 5.5, Complex Eigenvalues.
Final (and solutions).
Spring 2018 (midterms were 50 minutes)
Midterm 1A (and solutions): covered through 2.4, Solution Sets.Midterm 1C (and solutions): covered through 2.4, Solution Sets.
Midterm 2A (and solutions): covered through 3.6, Matrix inverses.
Midterm 2C (and solutions): covered through 3.6, Matrix Inverses.
Midterm 3A (and solutions): covered through 5.5, Complex Eigenvalues. The topic in section 5.5 involving complex eigenvalues and rotation/scaling is no longer part of the course.
Midterm 3C (and solutions): covered through 5.5, Complex Eigenvalues.
Final (and solutions).
Fall 2017 (midterms were 50 minutes)
Midterm 1 (and solutions): covered through 2.4, Solution Sets.Midterm 2 (and solutions): covered through 3.6, Matrix Inverses.
Midterm 3 (and solutions): covered through 5.5, Complex Eigenvalues. The topic in section 5.5 involving complex eigenvalues and rotation/scaling is no longer part of the course.
Practice Final (and solutions).