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RIP.

Hello. There is an organized reading course in Geometric Measure Theory being held from 10 Dec to 21 Jan. This will cover sections 2.1-2.6/7 of the textbook "Geometric Measure Theory" by Herbert Federer. Once this session is completed, a new schedule will be determined to continue reading deeper into the text. Problem sets and reading assignments will be posted at the beginning of each week, to be discussed the following Saturday during a group meeting.

The prerequisites for this reading course are point-set topology, linear algebra, undergraduate real analysis, and abstract algebra (standard undergraduate maths education). The textbook is self-contained with respect to measure theory, differential geometry, and algebraic topology. Therefore, you do not need to know those three subjects to participate. You are welcome to join.

Instead of discord, we will be using Matrix/Element to communicate. This messaging service offers native LaTeX integration (i.e., you can type LaTeX into a message and it will instantly render).

You may join the server using the link below:
https://matrix.to/#/#algebraists-anonymous:matrix.org

Don't know where to post this but I thought I'd let my mathchan friends know about this great thread I found on great studying methods https://warosu.org/sci/thread/S9152271

Quoting one guy in particular:
>[The best study method is] retrieval practice. Read this guy's papers (Jeffrey Karpicke - they're free on his website) and you'll see that it's better than any other method. I suggest starting with his 2008 Science paper

http://learninglab.psych.purdue.edu/publications/

>also here's an interesting lecture that you might enjoy, by his PhD supervisor (who also does research in memory and learning) Henry L Roediger, who is the co-author of pic related

https://www.youtube.com/watch?v=oqae85jbfbE

>Don't want to affirm the consequent, but from anecdotal experience, after reading all their papers, I went from below-average (GPA wise) to 3rd in my year

>[...] retrieval practice works on what is called semantic memory, which is (basically) the memory of facts. If you have trouble remembering things like derivations, formulae, and empirical facts from the natural sciences, then this will help.
>For things like the application of intelligence to solve novel problems, you want to work on your procedural memory (which is basically "cognitive skill"). Here's a paper on how math ability might be related to procedural memory - but note that this area is not yet as deeply researched as retrieval practice.

http://journal.frontiersin.org/article/10.3389/fpsyg.2016.01318/full

>One other thing (this doesn't come from empirical studies, so take it with a grain of salt): A good friend of mine, who went to the international math olympiads in high school (and got silvers all the time) told me the Chinese kids had an excellent way of prepping for the olympiads.
>Any time they would get stuck on a math problem, unable to fix it, and they would be told the answer (or the solution to that particular step) later, they would take a small break and ask themselves "Where should I have figured that out from?" and then written down the explanation. And then they would basically go over the explanation and think about it for the next two or three days, once or twice a day. BPost too long. Click here to view the full text.

Is math racist?

NIGGER

We post comfy pics we took ourselves