I am interested in (and terrified/intimidated by) the prospect of studying math @ Sudo!

niki


On Mon, Nov 4, 2013 at 9:30 AM, Max Klein <isalix@gmail.com> wrote:
Mike,

I would be a potential student and teacher for your ideas. I wonder if you could tell of any success you've had in the past with teaching Math in the Hackespace? I've been a part on and off of Math Education at Sudo Room and have a Bachelor's in Math. From my perspective, Mathematics, is really difficult to teach and learn outside of the School or University, because it's so prerequisite based. Each new theorem builds on the last. I feel like I personally have hit a wall with how we can teach math at a Hackerspace that isn't one-on-one student/master. I'd love to see new approaches and break the traditional academic mindset of how this is learned, and am all ears.

Max


On 1 November 2013 10:48, Mike Schachter <mschachter@eigenminds.com> wrote:
Hi sudoroom! A little while back I mentioned an interest in starting classes that work towards data literacy, and wanted to give an update with some ideas and plans, with the hope that people who are interested in helping out or already doing similar things would come out of the woodwork.

First - I've heard about the morning math meetups through the list and think it sounds great. My partner and I want to teach a hands-on curriculum for "Math Literacy" to interested people of all educational backgrounds. It would include everything from arithmetic to algebra to geometry, trigonometry, and calculus. I'm hoping to even have a basic introduction to plotting functions and working with arrays using web-based python terminals.

I want to find interested students and teachers, so if any of this appeals to you, please let me know! I'm going to make a trip out to sudoroom probably in two weeks, perhaps we could meet up and talk about it. I'll be at Noisebridge this Tuesday as well.

Second - I'm going to restart machine learning classes at Noisebridge, and am also looking for interested students and teachers. The ML wiki page, along with a link to join the mailing list, is here:

https://www.noisebridge.net/Machine_Learning

See you soon,

  mike

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