I’m working my way to a CS degree and am currently slogging my way through an 8-week Trig course. I barely passed College Algebra and have another Algebra and two Calculus classes ahead of me.
How much of this will I need in a programming job? And, more importantly, if I suck at Math, should I just find another career path?
Anywhere from very important to not important at all, depending on your specific job.
There is some good news though, you’ve been lied to about sucking at math. Whether by yourself or other people I do not know, but the education research I have seen has been pretty clear that the main difference between people of normal intelligence who are ‘good at math’ and those ‘bad at math’ is how long they’re willing to work on a problem to ensure the correct answer before moving on.
I know ‘try harder’ sucks as an answer but it’s the best one I know of and at least in this case will actually make a difference.
Agreed. Math, for the most part, is very rule oriented and problems only have one answer and often one strategy to get to the answer. If you work on many different problems (in the same subject) you should start to get used to the rules.
Overall I would say a strong math foundation is important to CS but CS isn’t just about coding. You can absolutely get a coding job without strong math skills or even without a degree, it’s just a bit harder to get started. If the discipline still exists you might consider a Business Information Systems degree (we used to call it CS lite). Depending on the position a company might equally consider BIS and CS majors.
i would disagree that math problems only have one strategy for getting to the answer. there are many things, particularly in more abstract math, which can be understood in multiple different ways. the first example that comes to mind is the fundamental theorem of algebra. you can prove it using complex analysis, algebraic topology, or abstract algebra. all the proofs are quite different and rely on deep results from different fields of math.
i think the same thing holds in the less abstract areas of math, it’s just that people are often only taught one strategy for solving a problem and so they believe that’s all there is.
problems only have one answer and often one strategy to get to the answer
Totally disagree
You’re thinking of equations, which only have one answer. There are often many possible ways to solve and tackle problems.
If you’ll permit an analogy, even though there’s “only one way” to use a hammer and nail, the overall problem of joining wood can be solved in a variety of ways.
You’re absolutely right. I was referring to equations which, in my experience, is 90% of undergrad math.
Do you have a link to the research? I’m a math educator and I’d like some good materials for encouraging my students.
Well being able to figure out 1 complex math solution per day vs 1 complex solution per 1.5 days for the person who just has to work on the problem for longer is balloons a lot over the long term.
Like how the average calorie burning difference between people is only 400 per day out of ~2000, but over a month that is like 1.5kg difference of mass burned which is 18kg per year.
But I don’t know if I am interpreting the result you said correctly.
As many have already said, the math needed will depend on what type of work you’re looking to do. Writing business software, for example, rarely requires more than basic arithmetic.
However, I think that the logical thinking skills that are needed for math are also necessary to be a good software engineer.
It really depends on the role you are looking for. If working with data and doing analysis, you need some knowledge in stats and probability. If you are working on simulations, you will need basic calculus and algebra. If you are looking at game development, you will need basic trigonometry and vector arithmetic. The one thing you don’t need is mental arithmetic because you have a computer.
That being said, you can get by without these skills, it just becomes harder to see what you need to do, even if you would know how to implement it. This is alleviated if you are working in a team however.
As others have mentioned, how much and what kind of math you need depends heavily on what you do. And while I wholeheartedly encourage you to do what you enjoy, be it with or without maths, I would like to offer another perspective: A loveletter to maths.
Math in general gets a lot easier and more fun the longer you do it and the more interest you can build. Often the people that teach math are extremely good at it, and maybe because of that they suck at explaining it. There is a lot to doing it right.
First of all, I think you need to build excitement. Math strives to describe the world! Math is the foundation of science, math is history, and many of the concepts and techniques arose out of necessity… Or sometimes spite! There are many funny stories or interesting people behind the formulars and concepts you encounter. Learning why the hell some math was even invented and how the guy or gal got the idea is 1000x more interesting than just getting an example for the application of it. It helps you remember stuff.
Then there are a dozen ways to explain every single concept and then some. You will find some much more intuitive than others and the sum of them will sharpen your understanding of them. Looking for different explanations for the same thing can be a great help. Did you know many things in maths where discovered multiple times? That happens a lot, because even brilliant mathematicians don’t properly understand each other, or even themselves.
Another thing you should do is to always develop your vocabulary for every domain/concept you encounter. People will throw around made-up words and symbols like no tomorrow. Often, there are simple concepts behind them, hence they are casually abstracted away. You need to understand the concept and then translate it into your own words and then draw a connection back to the made up stuff. Maths is a lot like programming. 1 + 1 is just a function, returning a result. So are integrals, formulas in vector algebra, and every single damn other thing in maths. Just follow the chain!
And finally, there are also some amazing insights hidden in maths. Gödel’s incompleteness theorems might send a chill down your spine once you grasp their implications. Computability and information theory will shape your view on the world and yourself.
I went from getting Ds to Bs to advanced theoretical CS courses and you can do it too. You don’t have to, but you can.
While I do agree that math gets much easier with interest, and that it gets more interesting the further you get into it, and that math is inherently beautiful, etc. I feel this argument has to fall flat to people who don’t already agree. It’s the education equivalent of when someone says they couldn’t get into an anime and then the fans tell them ‘oh it gets really good around season 9’. You could be completely correct, as you are here, but it’s utterly unconvincing if you don’t already “know.”
To be fair, I think this is mostly a problem with math curricula. Math classes up through high school and early college seem to focus on well trodden solutions to boring problems, and at some (far too late) point it flips around to being creative solutions to interesting problems. I think this could be fixed eventually, but such is the system we have now.
I totally agree. I think maths should start with games in elementary and cover history and applications as soon as you enter middle school. (Keeping games of course, how is there no redstone in the maths curriculum?!)
And I know that my rambling won’t convince people to immediately shake off the system induced maths fatigue, but I’ll never stop encouraging people to give it a second chance :)
As someone who studied math in college, but can hardly string a line of code together without making 4 trips to stack exchange or some documentation, this was a very good explanation of why math is actually really exciting.
Don’t need a degree, but computer programming is fundamentally logic and algorithms. You need to have internalise reasoning logically. In some ways critical thinking is closer to programming than trig is.
More than math courses - logic courses in general helped me rethink and structure things in a variety of ways in how to approach problems. If nothing else it improves your “if-then-else”-fu to understand when you are not(not(not something))). My math degree required logic courses though at the same time so it made sense. For higher level math logic plays a heavy role and so leveraging that aspect helps in a lot of ways.
90% of programming I have seen after a decade plus of doing it full time is minor changes being made to code that was already made by someone. Likely not documented. Likely already changed in a dozen little ways. Math isn’t the problem. Understanding what the guy who wrote it is often the problem.
Oh and you can’t ask them because they likely don’t work here anymore.
Being a programmer is more like being a detective than anything else unless you work for a small company.
Spot on. And I’ve found it’s even that bad at small companies too, if the company is more than five years old.
Totally depends what you end up working on as a programmer. If it’s web apps, you’ll be totally fine. All you need is basic arithmetic. Writing a game engine? You’ll need to know some basic to moderate matrix maths…
If you’re doing formal verification using unbounded model checking… good fucking luck.
On average I would say most programming tasks need very little maths. If you can add and multiply you’ll be fine. Definitely sounds like you’ll be ok.
Programming is Concrete Math and becomes more and more Math the less abstraction you expose yourself to.
Both are fields you have to engage in problem solving, the better you are in one, the better you are in the other.
Don’t confuse Math with pure arithmetic operations though, its just the base concept which provides the fundament you’re building upon as you dig deeper.
I for example was quite bad at Math up until I got interested in IT, because then I had a reason for learning and be excited about it, but I guess thats a heavily subjective thing.
Engaging with interpreted languages and solving problems on certain sites with those also helped in further developing my problem-solving skills, which made Math easier for me.
I failed calc2 and am gainfully employed as a mid/upper level software engineer.
One guy at work really saved the day because he’s good at math, and made a very slow process much faster because he knows … uh… vector math? He did magic with numpy
Math, despite being a great skill to have, is not mandatory for a large volume of programming roles. It may hurt you in some interviews but interviews are a fucking crap shoot / shit metric either way. Computers do most of the math, so you don’t have to!
Source: I’m dyslexic, suffered from dyscalculia and migraines until I was allowed to use a calculator, and barely passed high school math. No degree. No bootcamp. 8 years as a dev.
I’ve also excelled in multiple roles where colleagues were math or CS PHD’s, and become the senior or go-to on more projects than not. The key part is to know your strengths. I’m never gonna accept a role developing accounting software, or anything that would require me to code complex math on a regular basis. You’d be surprised how far you can get with Google.
Depends on the programming job.
In my amateur experience, the most difficult math I had to do was use the Pythagorean theorem to calculate a point that was spinning around an other point.
But I can see needing to be able to use matrices in some instances.
Being good at math allows programmers to code more efficient systems. Instead of doing multiple complicated lines, it could all be incorporated into a single efficient equation.
Most of programming is just logic based. Although math is also logic based. So take from it what you will.
Yep, truth tables mostly. Math is mostly useful in game programming.
And graphics.
Statistics is also important in a lot of areas if your doing data analysis.
Depends on what kind of programmer.
If you’re doing data engineering/science (more of an adjacent field), you need to know linear and probability pretty well to build models, or have data harvested in ways that can be put into vectors.
If you’re doing relational DB stuff (like SQL) set theory helps a lot.
Basic boolean operations in general is also good to know. You don’t need to go too deep in the weeds of boolean math unless you’re also doing a lot of hardware-level stuff.
Any field you go into (not just programming), I would say just basic math for regular financial competency is good to know. Also to analyze your budgeting, your costs, time spent, effort needed, etc.
If you’re a frontend programmer, you only need to understand rectangle width and height lol
I think folks saying you don’t need math are right. But if you are having trouble with college algebra you might have trouble with CS. Or the teacher is bad.
Math really builds on itself at the stage where you are. Without good algebra calculus isn’t going to work well.
I’d try a different teacher. Online courses or repeating the course with another professor or something.
As a kid, I learned to write i = i +1, before school maths taught me it can’t. The point is, computers do iteration well, especially to model dynamics of real non-linear systems, while classical maths is good at finding algebraic solutions to equilibria - typically more theoretical than real. Calculus is great for understanding repeatable dynamics - such as waves in physics, also integrating over some distributions. But even without knowing that well you could still approximate stuff numerically with simple loops, test it, and if an inner-loop turns out to be time-critical or accuracy-critical (most are not), ask a mathematical colleague to rethink it - believe in iteration rather than perfect solutions.
