Computer Science Is NOT Software Engineering

Linear algebra is one of the most powerful mathematical tools you will ever use.

Eh, if you suck at CS you suck at SE. Theory translates to code nearly 1:1. Of course, theory doesn't always consider real world factors such as hardware architecture, network performance, or the human aspect of collaborative development. That's where SE becomes it's own thing. You can be great at those and be a good SE, but if you suck at CS you're still going to make bad software. You need a solid baseline in CS, but you do not need to master all of CS. Learning more CS will help, however, doing so while neglecting engineering will limit your real world value.

I was lucky to really like math but when I finally got to learning circuits, it was interesting that every component was its own math equation and you finally get the connection of math to engineering.

The same problem occurs in the field of electronics where they offered 4 year degrees in electronics, but it was not engineering, where there was a huge difference.

thank you very much for this video, you have explained something here clearly to me

When I was in college, in the early 1970s, working on a computer science degree one of my professors stood in front of the class and said, "All of you in here are not going to work for IBM so you need to take a COBOL class." Best advice that I got during my entire four year college career. I took the COBOL class and got two job offers for COBOL programming just before I graduated. I spent the next twenty years coding in COBOL before switching to database design and administration.

You are right about SE being narrow and CS being deeper. But you missed that CS is not about computers, but about computation/computability. CS studies everything that is computable in different architectures, physical systems, or even purely theoretical machines. It's closer to math.

Damn, idk. Why people think CS == Software Developer? Software Devs is one field of CS. And today more practical then theoretical. If u study on a University its most of the time always more theoretical then practical. If u wanna do 100% Software Development dont study CS. CS is more fundamental and masters is often needed. For example i study CS but i wanna specialize in my master degree. I wanna be a scientist thats why im doing it. I dont wanna have a high pay salery i will having fun as a researcher/scientist.

that was very good, computer science is understanding the machine

Please do a same documentary on mechanical engineering you d best sir

Do you know about information systems😄? say something pls?

Nice

Me in CS wondering why all this useless math is everywhere, thought I was alone 😂

Basically you could have saved time searching WHAT IS Computer Science before enrolling in that course. Linux hard users love computer science, it's more for geek/nerds than to work with, but we can make money on Education, teaching that.

I don't have a computer science degree... but i started working part time as a programmer when I was 14... and worked in IT my whole career. If you have experience, most people don't care if you studied computer science or not.

The main reason people want to get a job is that they don't have money
So do you actually think that they have the money to join your community just for a phone and so on, and at the end of the day, they might not even get the job after paying you

How do you expect for person without computer sience background to find himself\herself in tech hole? Every tech ist holy grail , evey tech is game changer and your tech stack grows infinitly. You need basics to be able to choose, to think criticaly . And let me add one more thing. Recruters usually knows nothing about IT or they have clear goal to find person that knows how to create. They are not payd to find new talent , but someone that already knows how to produce desired tool.

Computer science = theoretical part
Software engineering = practical part

But as a Software engineer you still need some knowledge of CS to build a software with high quantity and what really happens! Your are not code monkey, you are real SW engineer if you really want to be a good specialist and so on!

Very good video! I learned this way too late (somehow, I haven't even learned it yet). I'm in my late 30s and, out of interest, I'm currently finishing a bachelor's degree in Mobile Software Development. Despite nine years of software development under my belt, I have no chance of getting a new job.



Even though my studies were at a university of applied sciences, and thus somewhat practical, we didn't actually learn any frameworks. But that's exactly what companies want. Recently, I've been to a few job interviews, specifically for Spring Boot and Android (Kotlin), because I've had some exposure to it. The questions in the interviews, however, went way beyond that. The Java I've seen in my current job is nowhere near sufficient.

I got a degree from The University of California, San Diego in 1975 in electronic engineering and computer science. It was actually called a Bachelor of Arts in Applied Physics and Information Science. Yes, after four years of engineering I got a BA in APIS.

How do you feel now that AI has taken your job?

Software engineering is not that difficult, its one of the most easiest professions out there. Its not hard like doing math or theoretical CS. I have seen people with virtually no related degree to software engineering going up to become tech leads. It is way more easier now than ever to be a software engineer with the help of AI.

Should have gone with the broadest field of all - Electrical Engineering. It covers electricity, electronics, communications, IT, Computer science, software engineering, hardware engineering, firmware engineering, database engineering, math, physics, and a lot more. When you get a BSEE today, employers know you have a well rounded education instead of being locked into easily eliminated subspecialties. It wasn’t always that way, but now it is. You can move around with ease and tackle just about anything under the EE banner. You may not be specialized right away, but you will have all the basics.

this my first semester in graduate school for data science major, and already i'm taking data science as a course, with little programming foundation but no math prep foundation for the program major. Luckily for me i took engineering mathematics during my electrical engineering undergrad years and i must say, in as much as computer science help, i think conceptualizing stuff mathematically first is the best approach, after which the computation doesn't become too difficult.

for software engineering, that heavily rely on the programming paradigm, the design paradigm and the architecture paradigm you're most comfortable with. There's no single way of doing things, just get the "system's thinking" part right and you should be good imo :)

Lol...he sounds a bit like physicist Sean Carroll...

Thanks for the breakdown.

The software engineer that failed the math or barely pass end up building MVP rube goldberg machines with a ton of tech debt, and day 1 vulnerability built in because they kludged together stuff with endless packages that they have no clue about just pad their resume. They can not code with a debugger IDE in place and can not actually organize and structure code properly.

This guy knows what he's talking about

This is an emotional topic, but I think it would be better if society didn't place as much importance on degrees because universities are expensive. Of course, knowledge is necessary, but in this age where we can learn that through AI, I think we should evaluate people based on something other than degrees. Universities are excellent research institutions, but aren't they already outdated in other areas?

I have a bachelor's degree in computer engineering, and this distinction doesn't exist in Brazil; everyone is considered for all positions, regardless of their background. Here, what's truly surprising isn't the segmentation within the computing field, but rather people from other fields, such as mechanical, civil, food, and environmental engineering occupying specific computing positions (software, AI, innovation) as specialists. Can you imagine?

You don't need college to code. You need to code to code.

I have a question how will AI replace information security analyst

A programmer is to a construction worker what a computer scientist is to a civil engineer.