Ciro Santilli @cirosantilli 35

This is the most important of all points.

Don't set goals for your students.

Ask students what they want to do, and help them achieve that goal.

If they don't know what to do, give suggestions of interesting things they could do.

Once they have a goal, just help them learn everything that is needed to achieve that goal

If they don't have a goal, any attempt to learn is a total and complete waste of time.

This is because the universe of potentially useful things that can be learnt is infinite, and no human can ever learn everything.

The only solution, is to try and learn only what seems necessary to reach your goal, and just try to reach your goal instead.

This approach is called backward design.

Also, setting overly ambitious goals, is a good idea: the side effects of ambitious goals are often the most valuable thing achieved.

"Graduating" and "getting a diploma" are not valid goals, because they are useless. A goal has to be either an amazing specific technological or artistic development.

Text materials are generally superior to video because they:

Only produce video material if:

Never create videos of people just speaking hardcore content for long amounts of time.

If you have to use videos, make them as short as possible, and index them with a textual table of contents.

Also consider using sequences of images or GIFs instead of videos, since those are cheaper.

When you do get face to face time with students, don't teach a large group.

Everything you want to teach is already online.

And if it is not, then you are wasting your time saying it face-to-face instead of creating such online resource.

The only goal of meeting students is talking to them individually or in small groups to:

and letting them do the same amongst themselves.

If you talk to a large group, you will only reach / understand a very small percentage of the group, so your time is wasted.

It is better to deeply understand what 25% of the students feel and adapt the course material, than to talk to everyone at once, and have only 5% understand anything.

v3 LaTeX source code: github.com/OperaMagistris/Opera_Magistris_English_v3

Very unfortunate license "public domain license" with a "non religious" clause, whatever the fuck that is, which completely defeats the point of a public domain declaration:

Communicating at a distance, from Greek "tele" for distance!

A very cool thing about telecommunication is, besides how incredibly fast it advanced (in this sense it is no cooler than integrated circuit development), how much physics and information theory is involved in it. Applications of telecommunication implementation spill over to other fields, e.g. some proposed quantum computing approaches are remarkably related to telecommunication technology, e.g. microwaves and silicon photonics.

This understanding made Ciro Santilli wish he had opted for telecommunication engineering when he was back in school in Brazil. For some incomprehensible reason, telecommunications was the least competitive specialization in the electric engineering department at the time, behind even power electronics. This goes to show both how completely unrelated to reality university is, and how completely outdated Brazil is/was. Sad stuff.

This technique is crazy! It allows to both:You actually see discrete peaks at different minute counts on the other end.

It is based on how much the gas interacts with the column.

Detection is usually done burning the sample to ionize it when it comes out, and then you measure the current produced.

The procedure remind you a bit of gel electrophoresis, except that it is in gaseous phase.

Ciro Santilli would like to fully understand the statements and motivations of each the problems!

Easy to understand the motivation:

Hard to understand the motivation!

Amazing graphs and formulas.

Python graphics engine open sourced at: github.com/3b1b/manim "Animation engine for explanatory math videos". But for some reason there is a community fork: github.com/ManimCommunity/manim/ "This repository is maintained by the Manim Community, and is not associated with Grant Sanderson or 3Blue1Brown in any way (though we are definitely indebted to him for providing his work to the world). If you want to study how Grant makes his videos, head over to his repository (3b1b/manim). This is a more frequently updated repository than that one, and is recommended if you want to use Manim for your own projects." what a mess.

The key thing in a good system of units is to define units in a way that depends only on physical properties of nature.

Ideally (or basically necessarily?) the starting point generally has to be discrete phenomena, e.g.

What we don't want is to have macroscopic measurement artifacts, (or even worse, the size of body parts! Inset dick joke) as you can always make a bar slightly more or less wide. And even metals evaporate over time! Though the mad people of the Avogadro project still attempted otherwise well into the 2010s!

Standards of measure that don't depend on artifacts are known as intrinsic standards.

Nothing makes the fact that your life is an illusion clearer than animations of molecular biology processes. You just have no idea what is going on inside your own body right now!

And don't get Ciro Santilli started on the brain and the impossibility of free will.

And yet, we live, oblivious to all of it.

Amazing creators:

Basically the opposite of reductionism.

A branch of mathematics that attempts to prove stuff about computers.

Unfortunately, all software engineers already know the answer to the useful theorems though (except perhaps notably for cryptography), e.g. all programmers obviously know that iehter P != NP or that this is unprovable or some other "for all practical purposes practice P != NP", even though they don't have proof.

And 99% of their time, software engineers are not dealing with mathematically formulatable problems anyways, which is sad.

The only useful "computer science" subset every programmer ever needs to know is:

Funnily, due to the formalization of mathematics, mathematics can be seen as a branch of computer science, just like computer science can be seen as a branch of Mathematics!

Other mentions of "Denis Petrov":

www.amazon.co.uk/dp/B07VL2MLYY DECARETA Pedal Spanner Bike Pedal Wrench Three-in-one Function Bicycle Pedal Spanner 24mm Front and Rear Axle Spanner Pedal Install Spanner Repair Tool with Anti-Skidding Long Handle (Silver) £10.99.

Got dented the first time I tried to use it in the Kross bicycle (2017). All Amazon reviews say the same thing, should have read first, and bought instead known brand like Park And Tool which is the same price. Material advertized on Amazon: "Steel alloy and rubber".

This is a pre-requisite of Section "Students must have a flexible choice of what to learn".

If the choice of what to learn depend on a years long dependency graph of other obligations, which currently are the increasingly interlinked:you end up without much choice at all.

The lock-in periods must be much more fluid and shorter term than those, otherwise it makes the almost inevitable pivots to success impossible.

This is something that Ciro Santilli has heard from several people at the end of their undergrad/PhD degrees. Some online mentions: