Where that at on mobile lmao

Just send me a message

u don't need to be good at math to be good at CS

you're right! and I am doing that right now (with vulkan) openGL was more of a first step because it has far more resources and is much simpler for an intro

You need to be good at math to be good at computer science. There's a difference between computer science and software engineering though.

That's sick, I could never figure out either. I trust you w/ this information.

I'm actually working on a display technology based on my studies of 3D graphics. You know meshes of polygons? Specifically closed ones (ones without holes)?

Well what's the difference between a poly mesh that looks like a human and a poly mesh that looks like a cube? Assuming both meshes have the same # of polygons, the only difference is each edge's length and angle in relation to the edges connected to it.

If you combine a bunch of edges into a closed mesh and control each one's length and angle, you end up with a "mesh morphing" mesh. This is a very simple topic in computer graphics, under used but easy to understand (Ref 1).

The thing I came up with is making a mesh morphing robot. That is, a robot made up of edges that can grow and shrink in length, as well as control their angle in relation to it's neighbors (at the vertex). My initial design used a scissorlift-like mechanism for the length control, and a universal joint for angle control.

However I soon realized that continuums would be more efficient by reducing amount of physical variables needed to be controlled whilst maintaining the same function and it was actually more aesthetically functional. I replaced the scissor and joint with a continuum robot (Ref 2), resulting in nurbs (curved lines) instead of polygons.

PT2.

Not only this, but I managed to design a 4 pole sphere net and a stepper motor multiplexer that allows me to control an infinite amount of edges with only two motors, although you'd want a few "cores" and there's be practical limitations on your variable count to motor ratio for times sake.

This functions as both a 3D display and a shape shifting robot, it will be able to fit in your pocket, grow to the size of a human and perform physical labour for you, finally putting an end to the necessity and profitability of human labour, whilst simultaneously bringing the means of automation out of the factory and into the metaphorical and physical hands of the masses.

I've been working on this for two years now, I've made a bunch of semi functional prototypes, I have a design that I think will work flawlessly, should have it built within a month or two. Below Ref 1 are some pictures and a video from last year to help illustrate the concept, I refuse to upload any more media of the project until it works.

I call them "Mesh Morphing Robots", "Polygen" or "Figura Mutante". It's going to be a whole field of robotics and display technology one day.

P.S. It'll be covered in a layers of white spandex to both stretch and defuse coloured LEDs underneath, it'll also be fitted with multiple sensors and outputs. We'll eventually (hopefully soon) switch out motors and strings for IPMC EAPs.

#RasterizationWasAMistake

Ref 1: youtube.com/watch?v=o2_9AaWK85k
Ref 2: youtube.com/watch?v=BcbPzX5cPug
Ref 3: youtube.com/watch?v=nrp4NBsxcAQ
Ref 4: youtube.com/watch?v=pAev5rQegS0

interesting

why's this thread so dead

better places on the web for CS discussion tbf not enough experts here to help with most questions

I'm currently in a bioinformatics graduate program

For my program you have to have calc 1-3 under your belt to get accepted. Tbh bioinformatics has become broad, you can lean towards statistics (which also required calc 1-3 there r some difficult integrations involved in stats) and machine learning which would require calc as I said, or you can focus on sequence biology which is highly computational and algorithmic.

In either case you'll need to take calc up to multivariate calc but in sequence biology vs statistics/machine learning you probably won't need calculus for daily applications, there you can just learn which software to use for aligning dna sequences detecting and classifying motifs finding mutations etc. It's easier than it sounds unless you're required to actually develop new techniques

Anyways, if you don't want to get into sticky maths this field is still possible to get by in but you'll be memorizing how/when to apply techniques/software which is actually very hard to do without understanding how the techniques work. You're going to be limiting your growth if you avoid calculus in particular, which is definitely not too hard compared to the algorithms used in bioinformatics

TLDR: You don't have to be strong in calculus but you'll definitely need to pass the courses to get into solid bioinformatics graduate programs

Linear algebra proofs

Just wanted to vent some frustrations. Pretty sure I just failed my final round interview for a fall internship at a big company.

My frustrations:

I think it is F***ED to ask someone to run their code during a phone screen. If the logic looks good that should be good enough. There is bound to be small errors when someone codes under pressure in 40 minutes.

I got my coding question right but there was small syntatical errors through out the code (some that come from the fact that my MBP double types certain keys all the f***ing time). I was able to fix my code all on my own but I think i lost a lot of points because I had to go back and fix it.

Also f***ed that coder pad like was doing indents properly so my s*** wasn't as crisp looking.

I also used a for loop when a while loop might have been cleaner but oh f***ing well I got the question right and it ran thaat should be good enough.

/rant.

Ehhhhhh what do you consider "computer science" and what do you consider "software engineering"

anyone studying cybersecurity?

yeah i am.

Yes

Reading 'the code book' -simon singh, sparked my interest like mad.

Put me onto some textbooks/ resources to start

@bitch_mob @Mr_Alderson

How are you guys finding it? Starting University soon to study Cybersecurity and Digital Forensics.

really enjoy it, the overlap it has with every part of the IT field and society as a whole makes it a worthwhile career to pursue. you get exposed to all the sectors of IT like networking, hardware/ software, coding, etc so there are endless areas for you to apply your cyber expertise and learn new skills along the way.

Cyber security is new in terms of academia so every school will have a different program with a different focus, if you really interested in this field i would recommend doing computer science or a networking degree program with some type of security focus. All cyber security truly is, is just coding and networking foundations you will probably learn much more with this route.

What aspect of cyber security are you interested in? Offense or defense?

More defense i think.

How those structures are created and maintained are more interesting to me

“ The Blue team field manual” is one that i know is regarded as like the holy grail, its a great starting point