m22x06 at math.dartmouth.edu
3D ellipsoid generated by x^{T}Ax = 1, showing principal axes (plotted with Matlab).

You all remember solving two simultaneous equations for two unknowns in high school. Linear algebra is the elegant structure that arises when you generalize this to many equations in many unknowns. We will find such algebra problems (involving numbers and matrices) can be beautifully described by geometry (involving planes and angles). You will also grapple with some lovely math proofs. Why is linear algebra useful? The natural and technological world around us is full of complicated systems that respond to stimuli: a bridge moves when a force is applied, the population of one species reacts to a change in population of another. Very often the system is linear (or nearly so)  twice the input causes twice the output. Every time we do a Google search, make a weather prediction, solve virtually any numerical problem in physics, chemistry, biology, engineering, economics, we (or a computer) does linear algebra. Every molecule of your body is governed by quantum mechanics, which is essentially linear algebra. Finally, linear algebra, particularly the idea we introduce of a vector space, is the mathematical building block upon which functional analysis (the study of operators on continuous functions, a key part of analysis, partial differential equations, etc) is built. 
Lectures / OH: Bradley 104, MWF 11:15am12:20pm (period 11), important to attend since we'll do lots of worksheets together. I strongly recommend you read the material in the book in advance of the lecture. Xhour is 1212:50pm Tues, and I imagine will be used about half the time for: quizzes, writing proofs, computer help, or review material. Do not schedule anything regular in this Xhr. I encourage you to come to office hours: Mon 34pm, Tues 23pm, Fri 23pm
Required book: Linear Algebra and Its Applications, Third Edition (or `Third Revised Edition' is equivalent, I'm almost certain!) by David C. Lay (Published by Addison Wesley). Available at Wheelock Books, etc.
Homework: 89 weekly HW's due Wednesday at start of lecture. I strongly encourage you to attempt the relevant homework problems before the next lecture. Leaving it all for Tuesday night is bad time management and risks you getting left behind in this fastpaced course. Please make your working/reasoning as clear as you can, write clearly, don't be scared of using lots of space on the page, and staple your work. Late homework will not be accepted (unless by prior arrangement for a valid, and exceptional, reason). Your lowest HW score will be dropped.
Exams: I will try to give you ample time to complete exam questions. However, the only key is to practise, practise, practise. (Also read this).
Honor principle. Exams: no help given or received. Homework: group discussion and collaboration on problem techniques is great and helpful. Writeups must be done individually (ie no copying).
Grades: Will be based on HW 25%, Midterms 2*20%, Final 35%. Note the HW is the main chance you get to practise the material and get feedback, so stay on top of it. Grades in Math 22 are not curved; other students' good performance will not hurt your grade. (So please work together and help each other out!)
Special needs: I encourage students with disabilities, including "invisible" disabilities like chronic diseases and learning disabilities, to discuss with us any appropriate accommodations that might be helpful. Let me know asap, certainly in first 2 weeks. Also stop by the Academic Skills Center in 301 Collis to register for support services.
Private tutoring: Tutor Clearinghouse may have private oneonone tutors available for Math 22. The tutors are recruited on the basis that they have done well in the subject, and are trained by the Academic Skills Center. If a student receives financial aid, the College will pay for three hours of tutoring per week. If you would like to have a tutor, please go to 301 Collis and apply as early as possible.