Two years ago I moved to Dublin with my wife (we met on tour while we were both working in music) as visa laws in the UK didn’t allow me to support the visa of a Russian national on a freelance artists salary.

After we came to Dublin I was playing a lot to pay rent (major rental crisis here), I play(ed) Double Bass which is a physically intensive instrument and through overworking caused a long term injury to my forearm which prevents me playing.

Luckily my wife was able to start working in Community Operations for the big tech companies here (not an amazing job and I want her to be able to stop).

Anyway, I was a bit stuck with what step to take next as my entire career had been driven by the passion to master an art that I was very committed to. It gave me joy and meaning.

I was working as hard as I could with a clear vision but no clear path available to get there, then by chance the opportunity came to study a Higher Diploma qualification in Data Science/Analysis (I have some experience handling music licensing for tech startups and an MA with components in music analysis, which I spun into a narrative). Seemed like a ‘smart’ thing to do to do pick up a ‘respectable’ qualification, if I can’t play any more.

The programme had a strong programming element and I really enjoyed that part. The heavy statistics/algebra element was difficult but as my Python programming improved, I was able to write and utilise codebase to streamline the work, and I started to pull ahead of the class. I put in more and more time to programming and studied personally far beyond the requirements of the programme (scored some of the highest academic grades I’ve ever achieved). I picked up a confident level of Bash, SQL, Cypher (Neo4j), proficiency with libraries like pandas, scikit-learn as well as R things like ggplot. I’m almost at the end of the course now and I’m currently lecturing evening classes at the university as a paid professional, teaching Graph Database theory and implementation of Neo4j using Python. I’m co-writing a thesis on Machine Learning in The Creative Process (with faculty members) to be published by the institute. My confidence in programming grew and grew and with that platform to lift me, I pulled away from the class further and further.

I felt lost for a while, but I’ve found my new passion. I feel the drive to master the craft, the desire to create, to refine and to explore.

I’m going to write a Thesis with a strong focus on programmatic implementation and then try and take a programming related position and build from there. I’m excited to become a professional in this field. It might take time and not be easy, but I’ve already mastered one craft in life to the highest levels of expertise (and tutored it for almost 10 years). I’m 30 now and no expert (yet), but am well beyond beginner. I know how to learn and self study effectively.

The future is exciting and I’ve discovered my new art! (I’m also performing live these days with ‘TidalCycles’! (Haskell pattern syntax for music performance).

Hey all! I’m new on devRant!

Proof by Induction, Big O, recursion, divide and conqure, Graph Theory, blah blah..

The state of informatics education is just saddening.
You study "Software Development" and then you get to do exams asking you to do some basic linux commands - with full internet access on a computer. People are allowed to fail this and study on. On the other hand you have to do real coding with pen and paper, have to calculate from hex to bin to dec and stuff and most Importantly - know about all kinds of math stuff completely unreleated to cs.
Graph Theory absolutely makes sense in my eyes, but not if it's plain fucken math without even mentioning computers or applications of it. But if you fail that everyone looks weird at you.

I know about coding. I got A's and B's in all the coding exams _without even doing much for them_ but then fail all the fucken math exams. Makes no sense. FML.

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.

// Fist Rant :S

When you go to sleep late the day before studying hard for the exam of graph theory and when you see the test equally not know how to answer any question :(

Travels to another state, about 6 hours of journey. After finally reaching the office, had to wait another hour for my turn. The interview starts
Q: How long have you been programming?
A: for nearly 2 years, I mainly code in python.
Q: Nice! (Puts a piece of paper infront) explain how the shortest distance between 2 cities is calculated by Google maps using graph theory..
I go blank and stay silent for an awfully long amount of time. Gets rejected.
After coming outside, I ask myself... Why the fuck does a normal tech company need written algorithms on graph theory used by Google maps?

Been on a Android dev meetup yesterday.
Guy in front of me started solving exercises of Graph Theory on his laptop.
I took a peek to see what this shit is all about(I have never studied for a CS degree).

Holy moley this is some scary shit. How the fuck you people study this.

It took me two full weeks to study this complex system (the system is a nice piece of work) and learn about graph theory to trace this bug reported by the client in order to find out that it was a data-entry issue. I had to trace x and y coordinates to debug this issue.

Although the result was a bit frustrating, it made feel capable and responsible. It was a good feeling in the end.

So my data structure's exam's result came and i got scored 57.5 out of 80. My classmates who barely know anything about C scored way more than me. I am so embarrassed at myself but i gave the right answers in exam. My score in the exams before was 39/40 and 38.5/40. All my hardwork failed because it was a so called THEORY exam where there was only 2 small questions of writing algos but all others were just like "describe pre-order traversal of a binary tree" or "write the difference between a tree and a graph?define adjacent node, path and complete graph"...
When will this fuckery end?

!story

I finally joined uni. With all of its fucking bureaucracy. But I love the feel I get being there with people I know wants same stuff as mine. I picked Math.
It's equally ambitious and crazy as 1) My previous school didn't prepare me at all, (not even limits for fuck's sake) 2) it has given me an antidepressant boost, but I'm also a person that yes goes on anyway but at the first difficulty I second guess my own ability in first place to overcome what's ahead (so, depressive rebound). 3) I have dyscalculia and adhd. Lucky me, not the kind of dyscalculia that makes you unable to grasp logic, it's more like I can't do calculations in my head and 8x7 is HARDER to me than explain graph theory or some stuff about riemannian geometry.
What did you all feel when you went to university? Because I'm feeling a lot ignorant, but worse, stupid, very stupid.
Any advice?

Does anyone know the most optimal general purpose algorithm for checking if two points on a graph are connected? I believe a* is the best for finding the shortest path but is is the best for just getting a bool of if there is a path at all?

Never underestimate the power of a misplaced static in your Java to totally fuck you over.

I was busy with my computer science project for the semester where we have to implement a Sudoku solver without backtracking by using graph theory.

So there I was writing my data structure for the grid when for some reason all the cells were initialized with the value 8.

After a whole night of debugging I was about to start over when I realized I had made my array static.

And boom, it works. WTF!!!!!!!

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.

The job description of my internship:

You must be able to understand the complexities of receiving a unit test that you are told needs only mock data in the test database, but has never worked since it was written by a contractor a year ago. No one knows how the unit test works and requires testing a complex algorithm involving graph theory that you have not learned about yet. The task starts at 1 complexity and turns into a 13.

A lot of graph theory libraries create a HTML/svg elements for nodes. Is it possible to convert the existing svg elements to graph nodes?