What To Do First

Here's a checklist for the first week of class:

  1. Obtain a TurningPoint clicker.  They come in several models, all of which (except for the very old infrared model) will do for this course. See your syllabus for information on purchasing a clicker. You're also welcome to borrow one from a friend, as long as you use the same clicker all semester long.
  2. Register your clicker on OAK. Pull up our course on OAK and click on Tools from the menu panel on the left. Then click on "Turning Technologies Registration Tool" and follow the instructions.  Do your best to have your clicker registered by Thursday, August 29th.
  3. Your first problem set is due on Thursday, August 29th, as well. I'll post that here on the blog soon.
  4. Enroll in our course on Piazza. Visit our course page and follow the instructions.
  5. Read Section 1.1 (Systems of Linear Equations) in your textbook before class on Tuesday, August 27th. We'll work through the material in class, but I'll assume that you've had some exposure to it through your textbook ahead of time.
  6. (Optional:) Review the slides from the first day. We'll come back to all of these ideas again in the course, but in case I moved a little too fast for you, feel free to take another look.

Office Hours for the Week of August 26th

What will be my regular office hour schedule has been disrupted by a number of appointments here at the start of the semester. Here's my office hour schedule for the week of August 26th:

  • Monday, August 26th, 4:00-5:00
  • Tuesday, August 27th, 1:00-2:00
  • Wednesday, August 28th, 3:00-4:00

All of these office hours will be held at the Center for Teaching. Here are some directions to the CFT.

Later in the semester, I'm planning to hold my regular Wednesday afternoon office hours (4-5p) somewhere in Featheringill Hall, which should be more convenient for most of you than the CFT.

 

Welcome to Math 194

VectorsWelcome to Math 194: Methods of Linear Algebra.  I'm your instructor, Dr. Derek Bruff, and I'm looking forward to teaching you this fall. Linear algebra is one of my favorite courses to teach, in part because the applications are so interesting and in part because the more theoretical material fits together so beautifully.

For more information on the course, please see the course syllabus and course schedule.

Image: "Vectors," Derek Bruff, Flickr (CC)