You must be good at Math
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Maybe for dev knowledge, but computer science? The science of computers?
What kind of cs degree did you get where you learned about electrical circuits. The closest to hardware I've learned is logic circuit diagrams and verilog.
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I have been coding since I was 10 years old. I have a CS degree and have been in professional IT for like 30 years. Started as a developer but I’m primarily hardware and architecture now. I have never ever said I was a computer scientist. That just sounds weird.
Yeah you’d really only say it on the theoretical side of things, I’ve definitely heard it in research and academia but even then people usually point to the particulars of their work first
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What kind of cs degree did you get where you learned about electrical circuits. The closest to hardware I've learned is logic circuit diagrams and verilog.
I don't have a degree
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If you want someone to know about the physical properties of transistors, find an electrical engineer.
Ok, but he didn't know what a transistor is. Like I get not knowing the mechanics or chemistry of it, but to literally not know it or how it applies to a computer boggles my mind.
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This post did not contain any content.wrote last edited by [email protected]
looks weird without the clevage
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A senior firmware engineer said to the group that we just have to integrate the acceleration of an IMU to get velocity. I said “plus a constant.” I was fired for it.
That sounds like it might be a gift in disguise.
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PID control is the classic example, but at a far enough abstraction any looping algorithm can be argued to be an implementation of the concepts underpinning calculus. If you're ever doing any statistical analysis or anything in game design having to do with motion, those are both calculus too. Data science is pure calculus, ground up and injected into your eyeballs, and any string manipulation or Regex is going to be built on lambda calculus (though a very correct argument can be made that literally all computer science is built of lambda calculus so that might be cheating to include it)
wrote last edited by [email protected]Lambda calculus has no relation to calculus calculus, though.
Data science is pure calculus, ground up and injected into your eyeballs
Lol, I like that. I mean, there's more calculus-y things, but it's kind of unusual in that you can't really interpret the non-calculus aspects of a neural net.
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Lambda calculus has no relation to calculus calculus, though.
Data science is pure calculus, ground up and injected into your eyeballs
Lol, I like that. I mean, there's more calculus-y things, but it's kind of unusual in that you can't really interpret the non-calculus aspects of a neural net.
wrote last edited by [email protected]Lambda calculus has no relation to calculus calculus
I wanna fight your math teachers. No seriously, what did they tell you calculus is if it's got nothing in common with lambda calculus?
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Lambda calculus has no relation to calculus calculus
I wanna fight your math teachers. No seriously, what did they tell you calculus is if it's got nothing in common with lambda calculus?
wrote last edited by [email protected]Is there some connection I've just been missing? It's a pretty straight rewriting system, it seems Newton wouldn't have had much use for it.
Lot's of things get called "calculus". Originally, calculus calculus was "the infinitesimal calculus" IIRC.
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Is there some connection I've just been missing? It's a pretty straight rewriting system, it seems Newton wouldn't have had much use for it.
Lot's of things get called "calculus". Originally, calculus calculus was "the infinitesimal calculus" IIRC.
wrote last edited by [email protected]I think the issue here might be the overloading of terms - lambda calculus is both the system of notation and the common name for the conceptual underpinnings of computational theory. While there is little to no similarity between the abstracted study of change over a domain and a notational system, the idea of function composition or continuous function theory (or even just computation as a concept) are all closely related with basic concepts from "calculus calculus" like limit theory and integral progression.
edit: clarity
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Wait til you see XNAND
My favorite was always XANEX
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What kind of cs degree did you get where you learned about electrical circuits. The closest to hardware I've learned is logic circuit diagrams and verilog.
wrote last edited by [email protected]In my own uni's coursework the closest we get are some labs where students breadboard some simple adder circuits, which we do just to save them from embarassing gaps in their knowledge (like happened in the inital comment). It doesn't add much beyond a slightly better understanding of how things can be implemented, if we're being honest.
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Informatics is a much better name imo
I see there's a fellow German speaker
I do agree though!
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What kind of cs degree did you get where you learned about electrical circuits. The closest to hardware I've learned is logic circuit diagrams and verilog.
I mean, I graduated over 20 years ago now, but I had to take a number of EE courses for my CS major. Guess that isn't a thing now, or in a lot of places? Just assumed some level of EE knowledge was required for a CS degree this whole time.
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I mean, I graduated over 20 years ago now, but I had to take a number of EE courses for my CS major. Guess that isn't a thing now, or in a lot of places? Just assumed some level of EE knowledge was required for a CS degree this whole time.
I got my BS in CSci about 15 years ago and it was 100% about programming in java. We didn't learn a fucking thing about hardware and my roommate was an EE major and we had none of the same classes except for calculus.
By the time I graduated java was basically dead. Thanks state college.
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My favorite was always XANEX
what fuck that one does
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what fuck that one does
wrote last edited by [email protected]Turns all your zeros into ones.
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I think the issue here might be the overloading of terms - lambda calculus is both the system of notation and the common name for the conceptual underpinnings of computational theory. While there is little to no similarity between the abstracted study of change over a domain and a notational system, the idea of function composition or continuous function theory (or even just computation as a concept) are all closely related with basic concepts from "calculus calculus" like limit theory and integral progression.
edit: clarity
I'm pretty sure the term was coined in the interwar era, so it's kind of interesting if people are just calling the concept of functions "lambda calculus" now. Obviously they're much older than that.
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I'm pretty sure the term was coined in the interwar era, so it's kind of interesting if people are just calling the concept of functions "lambda calculus" now. Obviously they're much older than that.
wrote last edited by [email protected]What? Nobody's doing that, it's just a distinct area of mathematics - I'm pretty confused where you got that idea from at all.
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What? Nobody's doing that, it's just a distinct area of mathematics - I'm pretty confused where you got that idea from at all.
So, I took it from these parts together:
and the common name for the conceptual underpinnings of computational theory.
the idea of function composition or continuous function theory (or even just computation as a concept) are all closely related with basic concepts from “calculus calculus” like limit theory and integral progression.
I'm still not seeing the connection otherwise.
