New textbook teaches students about matrix methods and their real world apps
ece.engin.umich.edu
ece.engin.umich.edu
When I read about that research, I remembered when I first taught a 9th-grade general math class. I tried teaching fractions the way I was taught ... but after several days, a test showed it just wasn't working at all. Frustrating for most too.
One day about a week later I drew a box on the blackboard, and called it one dollar (still worth something at the time.)
I then drew a single vertical line through it, pointed at the left half and asked 'what's this worth?' Slight delay ... '50 cents?' Then I added a horizontal line, pointed at the upper right corner: 'what's this worth?' Soon it was becoming easy! Sixths, eighths... 'take away 3 sevenths, what's left? ... After a couple more hours of this, most of the class easily solved 'simplify 3 sixths' or 'how many quarters to make 2 and a half'. Every few weeks later, we revisited to see what stuck.
Works the same in the sciences, for many anyway.
This blows my mind. The kids in the US don't learn/know simple fractions until they are ±15yo? In Europe I believe it's around 9-10 years old which is still late considering I've had it when I was 7 or 8.
Something about op's story smells funny.
Usually it’s around 2nd or 3rd grade, though I don’t recall exactly as I’m not an educator and my kids aren’t that old yet.
(I'm not blaming people traumatized by early math schooling. I just think there are many.)
The details about computer graphics and such was new to them, but very quickly it made sense to them (mathematically).
Later on when they had started a section in their class about triangles they used al this to illustrate and relate the subject to something they were all familiar with.
[1]: Swedish site: https://www.bokus.com/bok/9781009418133/linear-algebra-for-d...
How are matrices taught at school (if at all) in other countries?
Edit: Cramer's Rule lol
When I was in highschool in Belgium 30 years ago, linear algebra (well, 'matrix calculations' is was called then) was part of math (depending on your electives) but I can understand why it's not taught today any more by default; there's just too much to teach, so you have to make choices. And I imagine that today they say 'we better do fewer things well than a lot with insufficient depth', which is what my experience is from how I took it 30 years ago. What's the point in doing linear algebra when it's only the purely numerical operations without teaching why or when you'd want to take a cross or dot product? And it's only a one semester course when you go to university anyway, so it's not like it's necessary to include early on or that any other high school subjects need it.
IIRC, I took 5 math courses high school: algebra, geometry, precalc, calc 1, and calc 2.
I don't think we ever covered matrices, except as a condensed format for solving systems of linear equations.
Anyone with experience from an Asian country or Eastern Europe (eg Poland Hungary)
But the curriculum doesn't pay any heed to vectors or the notion of linearity, so we come away with no use or intuition for these curious objects.
* In Israeli high-school the system requires from students to take a number of credits in various disciplines. Some number of credits for certain disciplines is mandatory, while most are elective. Taking the maximum number of credits in math will include some matrix algebra. Taking maximum math credits isn't uncommon as the school graduation exams will have a major influence on college admission.
* In Ukraine the equivalent of high-school is optional: a large fraction of students goes to an equivalent of a trade school instead. For those who stay, the program may vary greatly based on the teacher's own preferences, what they believe would be beneficial for the college entrance exams. So, it could include sometimes even somewhat advanced college-level math, but not necessarily uniformly so. I remember that our algebra teacher put a huge emphasis on solving problems from Skanavi's book (some scary-looking multiple layers of arithmetic expressions that need a lot of effort and creativity to simplify them), but there was very little attention paid to matrices (perhaps only mentioned in the context of linear equations systems).
Meanwhile economy needs proper new recruits which is impossible statistically at this point.
We also, back in the day, did not immediately grasp the beauty, and also the need, for programming logic (prolog) or certain discrete structures - things people learn in the universities.
Yet we learned ourselves to debug and code - by trial and error, by working in friends groups, and loved it. Loved to write code and see things move on the screen. We were just kids in high schools, right, makes us what - 14 at the time? Nobody has ever pushed me or chased me do that.
Since I started teaching Perl in 2003 (and did so for 10 years on university grounds) I got absolutely convinced that people learn better when they can see the result, when they entertain and generally when something gets to convince them the matter is not so hard at all.
So, kudos for the book.
with free textbook: https://grizzle.robotics.umich.edu/files/ROB_101_Textbook_W_...
Converging series. Shocked the scumbag HR guy into submission
Now there are many universities and majors which will give you physics before calculus (forgetting that the original argument were in reverse) or will give some majors what is called Algebra based physics. Which is kind of trust me these are the equations to solve this problem, you just need to solve this algebraic manipulation of numbers. So if I give you any physics problem that requires any further manipulation or derivation then you will realize you did not understand physics well.
There is also benefits of studying calculus in itself. For example, a lot of optimization techniques that is being used by programmers and ML are rooted from calculus methods.
Although I create software, my degree is in finance. Calculus is everywhere, and I mean everywhere, in finance after you get past the basic intro courses, for school at least. However, in real life I have only used it not that often and mostly related to machine learning and optimization. Even then, I didn't do it by hand, I just knew what to do and let computers calculate the rest.