http://jessykate.posterous.com/an-assert-challenge-confirm-model-for-assessm
Hi All:
I'm guessing given the quiet on the list, people are feeling overwhelmed
and/or embarrassed/shy... I just want to remind you that this class is
primarily about two "soft skills": (1) developing independent initiative; and
(2) helping and getting help from others. If you've learned ANYTHING
about (1) or (2) then that is a success. The math is, at least for this course,
mainly a medium for *learning about learning*.
In fact, on an etymological basis, Mathematics "means" learning.
http://en.wikipedia.org/wiki/Mathematics#Etymology
So if you feel you've learned anything whatsoever in the course so far,
perhaps you could say something about it?
Example: I'm realizing that by designing this course as a "one room
schoolhouse" for mathematics I've probably created a condition of
maximal unstructure. I thought that this would be a really cool way to
learn, but now I'm having my doubts. I could have easily organized
a set of four courses (e.g. "Short Calculus", "Short Discrete Math",
"Short Math 101", and "Mathematics for game design") and that would
probably have covered a lot of the interests of people here. To cut
myself some slack, I didn't know what people were interested in until
I created the course! I'd be entirely willing to restructure the class into
four smaller tracks or "tutorial groups" if that's what people would like.
But I'll need to hear from you!
Thanks,
Joe
thanks for writing! I think the Steve Yegge post has some good tips.
Especially "Breadth first not depth first": or, like you said, you need a map!
I think his list of topics sounds pretty good, though depending on
your exact interests you could choose some different topics...
(he suggests: Discrete math, Statistics, Algebra and Linear Algebra,
Mathematical Logic, Information Theory and Kolmogorov Complexity)
... it's probably worth emphasizing that if you haven't done much
math for a while, you'll need to have something for basic review
ready to hand. (E.g. Schuam's outline of College Algebra is pretty
good.)
Anyway, all of these things can go on the map -- you don't have
to feel obliged to explore the entire map. One thing he seems to
have sort of talked "around" is the mathematics of programming;
I mean, I'd suggest that learning things like LISP or OCaML and
also studying an algorithms text would be a good way to learn
math for programming *by* programming.
I would say that with College Algebra as the core, you could
take on any one of these topics and just follow the order used
by a good introductory text book on the subject.
Joe