Homework submissions are due on Thursdays by 11 pm. Please submit via Gradescope.com. Solutions to homework are made available on Canvas after this deadline.
For MATLAB coding problems, you need to submit a screenshot of the program you wrote, including a screenshot of the output of the code in case the homework asks you to apply it to some example. Handwritten code, pseudo code or numerical results without code will not result in any credit!
pdf with problems. This is a sample final to prepare for the actual final (Mar 17). You don't need to hand in your solutions to these problems. We will go over solutions in discussion section and in the lecture.
pdf with problems. Code: sample_inverse_PM.m. Upload to Gradescope.
pdf with problems. Upload to Gradescope.
pdf with problems. Code: low_rank_approximation.m. Upload to Gradescope.
pdf with problems. Upload to Gradescope.
pdf with problems. This is a sample midterm to prepare for midterm 1 (Friday, Feb 5). You don't need to hand in your solutions to these problems. We will go over solutions in discussion section on Feb 2 and in the lecture on Feb 5.
pdf with problems. Upload to Gradescope.
pdf with problems. Upload to Gradescope.
pdf with problems. Upload your solutions to Gradescope.
Code (lowertriagsolve.m)
Note that we will discuss the code in lecture on Jan 11, and in the discussions on Jan 12.
pdf with problems. Upload your solutions to problems 1 and 2 to Gradescope.
I set up a practice quiz on Canvas on the topic of linear algebra. The quiz is ungraded and just there for you to practice taking Canvas quizzes and test your linear algebra knowledge. If you get all of the questions right then you are well prepared for this class. If you have trouble answering some of the questions, please make sure to go over the topic of the question again by reading your linear algebra textbook.