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674 points peterkshultz | 2 comments | | HN request time: 0.001s | source
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brosco ◴[] No.45636152[source]
I have a tip for following lectures (or any technical talk, really) that I've been meaning to write about for a while.

As you follow along with the speaker, try to predict what they will say next. These can be either local or global predictions. Guess what they will write next, or what will be on the next slide. With some practice (and exposure to the subject area) you can usually get it right. Also try to keep track of how things fit into the big picture. For example in a math class, there may be a big theorem that they're working towards using lots of smaller lemmas. How will it all come together?

When you get it right, it will feel like you are figuring out the material on your own, rather than having it explained to you. This is the most important part.

If you can manage to stay one step ahead of the lecturer, it will keep you way more engaged than trying to write everything down. Writing puts you one step behind what the speaker is saying. Because of this, I usually don't take any notes at all. It obviously works better when lecture notes are made available, but you can always look at the textbook.

People often assume that I have read the material or otherwise prepared for lectures, seminars, etc., because of how closely I follow what the speaker is saying. But really most talks are quite logical, and if you stay engaged it's easy to follow along. The key is to not zone out or break your concentration, and I find this method helps me immensely.

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chongli ◴[] No.45637344[source]
This is fun to do during lectures but in my experience only about 5-10% of my learning happened in math class. The other 90% happened at home as I worked through the problem sets.

Essentially the lectures served as an inefficient way of delivering me a set of notes which I’d then reference during homework sessions. I could often predict what was coming next in the lecture but the really hard parts were the key parts in some technical lemmas that were necessary to complete the theorem. Learning how to figure out a key step like that had to come completely on my own (with no spoilers).

In a lot of ways, math lectures really started to turn into an experience similar to watching a Let’s Play of a favourite video game. Watching those can tell you exactly what you need to do to get past the part where you’re stuck but they don’t in general make you better at video games. For that you need to actually play them yourself.

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vector_spaces ◴[] No.45637467[source]
The viewpoint of a lecture as an inefficient note delivery system is a pretty common and reductive view. Your "Let's Play" analogy was pretty apt though.

I think their (potential) value seems pretty clear when you look at language courses -- you can't possibly hope to develop fluency in a language by studying it in isolation from books -- forming your own sentences and hearing how other human beings do the same in real time is pretty decisive.

With math classes, YMMV, especially since they are rarely so interactive at the upper division and graduate level, but at the very least seeing an instructor talk about math and work through problems (and if you are lucky to have a particularly disorganized one, get stuck, and get themselves unstuck) can go a long way. But to be fair I regularly skipped math lectures in favor of reading too, heh

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1. fn-mote ◴[] No.45638007[source]
I consider the value in math lectures to come from the speaker’s explanation of why to expect certain things. Is this an obvious fact in another context, rewritten for this application? Is this a surprise? What reasons besides the rigorous argument are there for believing the theory?
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2. chongli ◴[] No.45638576[source]
A lot of the theorems I learned in school weren’t particularly amenable to intuitive explanations like that.

For example, take Galois theory. The fact that a polynomial’s solvability by radicals depends on the solvability of its Galois group is surprising and not intuitive at all. The fundamental theorem of Galois theory is a very technical result utilizing purpose-built mathematical structures that were developed specifically to study the solutions of polynomial equations.