ENGR108: Introduction to Matrix Methods

Julia Costacurta, Stanford University, Summer 2024

Homework is assigned weekly, and due by Friday at 9:00AM. We will use gradescope for homework submission. Contact the teaching team if you do not see the class in your gradescope dashboard. See the syllabus for late homework policies. We will drop your lowest homework grade when finalizing grades for the course.

The homework problems are assigned from the book, or from the additional exercises (marked with A, as in A2.1), which can be found here. We will update these additional exercises during the quarter, so be sure to download the newest version before starting your homework.

Some homework problems will require you to code in Python. We recommend that you use Google Colab for these exercises, since it requires the least amount of setup, but you can use any method for running Python that you'd like. You must submit your code with outputs for any problems that require coding.

You are welcome to collaborate on the homework, but you must write up your own final version to hand in, and you must write up your own code.

For this quarter, 5% of all homework assignments will be awarded based on engagement with a homework wrapper, which asks you to reflect on the assignment and how you're progressing in the course. Please attach the completed homework wrapper to each assignment and submit on Gradescope.

Homework

  • Homework 1, due Friday, 7/5/24:
    1.3, 1.11, 1.14, 2.1c-e, 2.5, 2.10, A1.2