- Notes- 5.2 October 15 - 12:38 pm [3]
- Spanning set October 20 - 01:28 pm [5]
- Have a good summer June 27 - 08:31 am [1]
- Final Exam June 24 - 05:30 pm [6]
- Lin Algebra June 23 - 07:17 pm [2]
- Will you post our final exam marks too June 23 - 03:46 pm [2]
- When the final exam score will be posted? June 23 - 01:13 pm [2]
- A question! June 20 - 04:47 pm [4]
- Worksheet 6 Q.2 June 20 - 04:43 pm [2]
- Ask June 20 - 02:04 pm [2]
- Basis June 20 - 01:38 pm [2]
- Do we need to prove some therome? June 20 - 01:36 pm [2]
- Proofs June 20 - 01:30 pm [4]
- Bonus Worksheet June 20 - 12:27 pm [4]
- Finding a basis? June 20 - 11:21 am [2]
- Solving for Basis... June 19 - 11:19 pm [2]
- What is "Rank"? June 19 - 10:53 pm [4]
- Exam June 19 - 10:45 pm [3]
- Quiz #5 and Worksheet 6 June 19 - 10:43 pm [4]
- Worksheet Five Q. 3 June 18 - 04:39 pm [2]
- Quiz 4 June 18 - 02:28 pm [3]
- Answers June 16 - 02:57 pm [2]
- Spanning June 15 - 11:04 pm [2]
- GRADES June 15 - 02:35 am [4]
- Final Exam June 14 - 06:53 pm [2]
- Lecture notes June 12 - 01:22 pm [3]
- Quiz #4 June 06 - 12:35 pm [2]
- Web Marks June 04 - 04:21 pm [1]
- Midterm May 29 - 07:50 pm [6]
- Dets May 26 - 09:41 pm [3]
- New domain of your homepage! May 26 - 09:38 pm [7]
- Does this exist? May 26 - 05:24 pm [2]
- A as prod. of elem matrix? May 26 - 05:22 pm [4]
- Cramer May 26 - 11:08 am [4]
- Singular matrix May 26 - 03:13 am [2]
- Row Operations and Cofactor Expansion May 26 - 03:10 am [2]
- Invertibility May 26 - 02:56 am [2]
- Midterm 2002 May 25 - 10:11 pm [2]
- Wrong Answer? May 25 - 09:55 pm [2]
- Enter the Matrix May 25 - 09:28 pm [2]
- What chapters will be covered on the exam? May 25 - 03:14 pm [2]
- Elementary Matrix? May 24 - 06:23 pm [2]
- Where do we take the mid-term test? May 23 - 11:28 pm [4]
- More Time! May 23 - 06:23 pm [3]
- What happened to the course outline? May 23 - 06:14 pm [3]
- How many methods of finding the determinants? May 22 - 12:02 am [3]
- Unique Solution? May 21 - 11:49 pm [2]
- I'm so comfused about the elementary matrices. May 15 - 10:22 am [2]
- Course Outline May 13 - 11:38 am [2]
- Welcome May 09 - 01:26 pm [1]
- Check May 08 - 11:19 am [1]

By

WELCOME!

Welcome to Intersession 2003 of Linear Algebra I: Mathematics 136.130.

You will find this to be a course that rewards regular work; the only way to learn linear algebra is to do the work -- so keep up on weekly homework and ask questions as soon as you realise you need help. See your instructor during office hours or ask questions in class or lab; the Department of Mathematics also makes the services of the Mathematics Help Center, found in Machray 318, available to students in this course. See the Help Center door for hours.

The discussions in this forum are open to all students in this course, and discussions from past terms are archived here as well. If you wish to discuss something new, begin a new "converstion" (by using the button provided); if you wish to continue a discussion that has already been started, type in the box "add a message", and click the button below it to post your message.

See the first topic on the board (which should appear at the bottom), on formatting mathematics, if you wish to make your "math typing" (and other typing) look good in your messages. Also check out the documentation in the accompanying folders to this site (see the bar on the left) to learn some more advanced things you can do.

I will be visiting this discussion regularly, as will your professors, and we will try to reply promptly to any questions that need responses.

Linear Algebra is a beautiful subject to study for its symmetry and elegance; it is also one of the most practical of the mathematical sciences, supporting more current technological developments than even Caclulus, which has been traditionally viewed as "the main" applied field of mathematics.

While this course spends much time developing theory and basic techniques, it should be clear that it is leading to some practical tools and big ideas. Many courses of study, particularly in science and engineering, require the tools of this course, so you will not be left wondering for long whether you will ever "use" what you learn in this course.

Hopefully, however, you will find the material of this course more than merely useful, but also interesting. It is, unfortunately, a course in the basics, so the big ideas will be seen only in outline, but Linear Algebra is the place where we learn about the meaning of space and dimension, and what these mysterious things called vectors are really all about. We learn about a new kind of arithmetic, with objects called matrices, instead of just numbers. There is plenty for the philosopher to chew on, but you must be alert to notice it, since the course majors on skills and tools, not on exposition of ideas.

Enjoy the course!

Nick Harland

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