To become an engineer (CS/IT) in India, you have to study:
1. 3 papers in Physics (2 mechanics, 1 optics)
2. 1 paper in Chemistry
3. 2 papers in English (1 grammar, 1 professional communication). Sometimes 3 papers will be there.
4. 6 papers in Mathematics (sequences, series, linear algebra, complex numbers and related stuff, vectors and 3D geometry, differential calculus, integral calculus, maxima/minima, differential equations, descrete mathematics)
5. 1 paper in Economics
6. 1 paper in Business Management
7. 1 paper in Engineering Drawing (drawing random nuts and bolts, locus of point etc)
8. 1 paper in Electronics
9. 1 paper in Mechanical Workshop (sheet metal, wooden work, moulding, metal casting, fitting, lathe machine, milling machine, various drills)
And when you jump in real life scenario, you encounter source/revision/version control, profilers, build server, automated build toolchains, scripts, refactoring, debugging, optimizations etc. As a matter of fact none of these are touched in the course.
Sure, they teach you a large set of algorithms, but they don't tell you when to prefer insertion sort over quick sort, quick sort over merge sort etc. They teach you Las Vegas and Monte Carlo algorithms, but they don't tell you that the randomizer in question should pass Die Hard test (and then you wonder why algorithm is not working as expected). They teach compiler theory, but you cannot write a simple parser after passing the course. They taught you multicore architecture and multicore programming, but you don't know how to detect and fix a race condition. You passed entire engineering course with flying colors, and yet you don't know ABC of debugging (I wish you encounter some notorious heisenbug really soon). They taught 2-3 programming languages, and yet you cannot explain simple variable declaration.
And then, they say that you should have knowledge of multiple fields. Oh well! you don't have any damn idea about your major, and now you are talking about knowledge in multiple fields?
What is the point of such education?
PS: I am tired of interviewing shitty candidates with flying colours in their marksheets. Go kids, learn some real stuff first, and then talk some random bullshit.

!rant

I'm building a complex software that computes stuff with advanced algorithms and linear programming. That kind of software that proved itself strong, but you know a bug discovery would be a disaster.

The client is a dick, always acting as a bully in every email.

Last email, writes me about a supposed error of the software, while of course complaining that the software is complete crap to ensure that I keep a positive attitude.

After some hours of trying to find the cause of the fucking problem, I realized that the software was actually right since the beginning.

I've replied explaining *why* the software says what it says (acting like it was the most obvious thing in the world). Waiting for a response.

I hope that moron will feel humiliated at least a little bit.

Happened with me☺☺

First year: intro to programming, basic data structures and algos, parallel programming, databases and a project to finish it. Homework should be kept track of via some version control. Should also be some calculus and linear algebra.

Second year:
Introduce more complex subjects such as programming paradigms, compilers and language theory, low level programming + logic design + basic processor design, logic for system verification, statistics and graph theory. Should also be a project with a company.

Year three:
Advanced algos, datastructures and algorithm analysis. Intro to Computer and data security. Optional courses in graphics programming, machine learning, compilers and automata, embedded systems etc. ends with a big project that goes in depth into a CS subject, not a regular software project in java basically.

YES FUCKING FINALLY. After 8 years of programming professionally, I got to use linear transformations and algebra while coding with javascript in real life.

I've been a programmer for almost 19 years but I actually think the best code I've ever written is something that while it provides value to other people I'm the only one who actually uses it. In the company where I work we have major events that have to be supported by a number of different teams across about 5 time zones and each engineer has a limited set of roles that they can perform during the event. Anyway it was painful just watching people trying to create a schedule so I wrote something with Linear Programming to automatically generate the schedule. It ensures that people don't work for longer than 4 hours in a row, don't work from more than 8 hours from the first hour to the last hour on call, get 12 hours rest between engagements and the work load is evenly distributed across the team. Creating conditions in Linear Programming is weird, imagine trying to turn a series of linear equations into boolean logic, it can be done and once you can wrap your head around it it's really fun. It was my first time writing anything in it and I don't see it coming up a lot in my career. My favourite part of this project is that the end result was that engineers were less exhausted. I really hope that doesn't remain the best code I ever wrote, I don't think it will but it will require a conscious intention.

As a junior dev from a sysadmin and security background, this is a list of software development concepts I never seemed to truly understand but hope to(rated from most intimidating to least):

1) Frontend web development and all the huge world of javascript frameworks and tools. - It's more overwhelming than the political geography of the Holy Roman Empire in the Middle Ages.

2) Machine Learning, Deep Learning and A.I- too much math that fucks with my brain.

3) low-level programming(kernel,drivers) - sounds extremely interesting but the code in assembly/C/C++ looks like Linear A Minoan hieroglyphics.

4) Rx(insert language here) - I never get why it is useful or why someone invented this. Seems interesting though.

5) Code Reflection - sounds like Thelemic magick.

6) Packaging, automation, build tools, devops, CI, Testing -seems too complicated. I just want to run an executable at the client or make a web app that does something. Why all this process?

> be me
> studying 1.5 years liberal arts stuff and general education class at community college
> transfer to a 4 year university.
> realize I need a major
> Realize I also I wanted to 9ne day have a family.
> realize family would need money
> "struggling actor" not a great choice
> pray about what I should be doing
> get distinct impression that instead of attending the session on majors at the college of fine and performance arts to go to session with the college of Science and engineering.
> hear pitch for computer science.
> signup for introduction to programming taught with c++.
> A couple semesters down the line take 3 classes all at once Discrete Math 1, Linear Algebra, and database design and administration.
> around week 6 realize that all 3 classes revolved around sets and set logic and set math.
> realize rdbs's are "applied" set math and that Each class a little more "applied" than the former.
> Be genius at SQL and set math
> havereally smart database teacher mentored me
> get introduced to the recruiter at the career fair.
> get interviews
> get flown out for 2md interview
> get internship
> do work, and get project back under budget
> a job offer
> finish senior year
> start as a "real" developer supporting business data and analytics.
> ???
> profit.

First and foremost, students should be carefully taught the logic and mentality behind programming. Most of the time I see that the introductory programming courses waste so much energy in teaching the language itself. So students kinda just get fucked cause many people end up ending the course without having actually gained the "programming perspective".
Stop teaching pointers and lambdas and even leave the object oriented stiff till later. If a student doesn't know why we use a For loop then how can they learn anything else.
I believe once that thing in your brain clicks about programming, everything goes smooth from there... kinda :P

Second of all, and this pertains mainly to the engineering and science disciplines.
We need a fundamental and strong mathematical foundation. And no I don't mean taking fucking double integrals. Teach us Linear Algebra, Graph theory, the properties of matrices, and Probability theory.
One of the things I suffered from most and regret in university is having a weak foundation in math and having to spend more time catching myself up to speed.
It's so annoying reading a paper on a new algorithm or method and feeling like an idiot because I can't understand what magic these people did.

Numerical Methods...
Ok this is more deeper, maybe a 2nd year course.
But this is something we take for granted.
Computers don't magically add and subtract and multiply.
They fuck up.
And it'll bite you in the ass if you're not even aware that the computer we all love so much isn't as perfect as we think

Some hardware knowledge.
Probably a basic embedded systems course with arduinos
just so you can get a feel for how our beautiful software actually makes those electrons go weeeeeeeee

And finally
Practice practice
Projects projects
like honestly
just give me the internet and some projects
Ill learn everything else
Projects are the best motivation
I hate this purely theoretical approach
where we memorize or read code and write these stupid exams
Test what we are capable off
make us do projects that take sleepless nights and litres of coffee
And judge our methods, documentation, team work, and output

Team work skills and tools (VCS, communicating, project management, etc.)

Documentation and Reporting
Properly
:)
maybe even with LaTeX :D

Yeah that's the gist of whats on my mind at the moment regarding an ideal computer science education
At least the foundations
The rest I leave it to the next dude.

My fellow devs, appreciate what you have right now, even if it doesn't seem that great. I've recently switched majors from Bioinformatics to Medicine and I wouldn't say I regret it, but I do certainly doubt this decision sometimes. While studying Bioinformatics, I was always really interested in the biological part, often wanting to learn more about medical topics and such, thinking if I did switch, I could always keep programming as a hobby. Now I did switch and I miss being in a professional CS field so much. Medicine is great, but the people who study are mentally completely different from people that code. I still code small projects on the side, but don't really have anyone to talk to about them and I'm even starting to regret not paying more attention in linear algebra. I miss linear algebra, think about how ridiculous that is haha. Anyways, if you are looking forward to a major change in your life, it might not be all that you think it will be. So look at your current situation, it might be what you wanted all along.
Thanks for listening.
.
.
.
Also it is incredible, how technologically incompetent most medical students are lol

Sydochen has posted a rant where he is nt really sure why people hate Java, and I decided to publicly post my explanation of this phenomenon, please, from my point of view.
So there is this quite large domain, on which one or two academical studies are built, such as business informatics and applied system engineering which I find extremely interesting and fun, that is called, ironically, SAD. And then there are videos on youtube, by programmers who just can't settle the fuck down. Those videos I am talking about are rants about OOP in general, which, as we all know, is a huge part of studies in the aforementioned domain. What these people are even talking about?
Absolutely obvious, there is no sense in making a software in a linear pattern. Since Bikelsoft has conveniently patched consumers up with GUI based software, the core concept of which is EDP (event driven programming or alternatively, at least OS events queue-ing), the completely functional, linear approach in such environment does not make much sense in terms of the maintainability of the software. Uhm, raise your hand if you ever tried to linearly build a complex GUI system in a single function call on GTK, which does allow you to disregard any responsibility separation pattern of SAD, such as long loved MVC...
Additionally, OOP is mandatory in business because it does allow us to mount abstraction levels and encapsulate actual dataflow behind them, which, of course, lowers the costs of the development.
What happy programmers are talking about usually is the complexity of the task of doing the OOP right in the sense of an overflow of straight composition classes (that do nothing but forward data from lower to upper abstraction levels and vice versa) and the situation of responsibility chain break (this is when a class from lower level directly!! notifies a class of a higher level about something ignoring the fact that there is a chain of other classes between them). And that's it. These guys also do vouch for functional programming, and it's a completely different argument, and there is no reason not to do it in algorithmical, implementational part of the project, of course, but yeah...
So where does Java kick in you think?
Well, guess what language popularized programming in general and OOP in particular. Java is doing a lot of things in a modern way. Of course, if it's 1995 outside *lenny face*. Yeah, fuck AOT, fuck memory management responsibility, all to the maximum towards solving the real applicative tasks.
Have you ever tried to learn to apply Text Watchers in Android with Java? Then you know about inline overloading and inline abstract class implementation. This is not right. This reduces readability and reusability.
Have you ever used Volley on Android? Newbies to Android programming surely should have. Quite verbose boilerplate in google docs, huh?
Have you seen intents? The Android API is, little said, messy with all the support libs and Context class ancestors. Remember how many times the language has helped you to properly orient in all of this hierarchy, when overloading method declaration requires you to use 2 lines instead of 1. Too verbose, too hesitant, distracting - that's what the lang and the api is. Fucking toString() is hilarious. Reference comparison is unintuitive. Obviously poor practices are not banned. Ancient tools. Import hell. Slow evolution.
C# has ripped Java off like an utter cunt, yet it's a piece of cake to maintain a solid patternization and structure, and keep your code clean and readable. Yet, Cs6 already was okay featuring optionally nullable fields and safe optional dereferencing, while we get finally get lambda expressions in J8, in 20-fucking-14.
Java did good back then, but when we joke about dumb indian developers, they are coding it in Java. So yeah.
To sum up, it's easy to make code unreadable with Java, and Java is a tool with which developers usually disregard the patterns of SAD.

I am considering which CS elective to register for this coming semester, and I am not happy with many of the choices. Basically, I can choose between Android programming, a web programming class in the grad school, and maybe Linear Algebra for CS majors class. I am trying to figure out what is worthwhile to take in college, and what I can learn on my own. Advisor thinks I should take a web class, because it's important to know, but I am not too into web and I feel like I can just learn that on my own. I would rather take a class that will help me understand how things work, rather than just how to use a specific technology. What do you guys think?

Opened up my old notes. I wrote down something my linear programming and calculus lecturer said
"..we just calculate and calculate until we tire out.and hopefully we will get the solution." Yup.