New York City Tutors. Orange County Tutors. Philadelphia Tutors. San Francisco Tutors. San Diego Tutors. Washington, DC Tutors. Pre-algebra Several basic math skills from middle school are prerequisites for almost any kind of programming, because of how often they come up in programming or in simply understanding how your computer works. Function notation Many programming languages take the both the notation and the concept of a mathematical function and extend it to general computing.
But… What is combinatorics? Statistics Statistics is a must for any kind of data science, analysis, or machine learning. Graph Theory In a mathematical sense, graphs are collections of nodes and the connections between them. Linear Algebra Linear algebra studies vectors and matrices, which are widely used in both video games and machine learning. Calculus Calculus also has applications in both video games and machine learning. Alys Brooks. Latest Posts. Lydia Thron December 13, Maybe you know someone Japanese, or would like ….
Read More. Wyzant vs Tutor. Jacqueline Zote December 1, Many students and parents will choose to go beyond just classroom teaching and hire a tutor to get a more comprehensive learning experience. Learning a new programming language can be challenging, especially when you do not have the necessary skills to grasp basic programming concepts. In many cases, math is one of these necessary skills. Programming can involve complex equations and formulas requiring knowledge of algebra, trigonometry, or calculus.
There are also times when basic arithmetic is all that you need. Programming is a component of computer science, which grew out of mathematics. The first computers were simply computation devices.
As computers and technology advanced, mathematical theories were developed to support new computational models. While this makes math and programming intertwined, math is not always needed for programming.
Math is typically considered a necessary topic for those that want to excel in the programming field. However, math is more useful for some programming languages and environments compared to others.
When developing video games , you may need to understand trigonometry, polar coordinates, and differentials. While advanced mathematics is needed for 3D computing, there are very few real-world situations that will require these skills for programming. Basically, math is not a requirement to become a successful programmer. However, you may need to take advanced math classes while earning a computer science degree. While math is not needed for every programming language, the following areas of basic and advanced math are needed in certain fields:.
Keep in mind that these math skills are not needed in every programming field. Web development does not typically involve the same need for advanced computation used in video game development, operating system design, or security and cryptography. To get started in programming, you need to know basic arithmetic. You should know how to add, subtract, divide, and multiply. If you constantly rely on a calculator for these basic operations, you may not type code very quickly.
Beyond basic arithmetic, the advanced topics are not a necessity unless required by the specific programming environment. The following are programming fields that are most likely to require a higher level of math skills:.
Trigonometry and linear algebra are useful when dealing with matrices for 3D graphics. When working with 2D or 3D physics in a video game, knowledge of physics formulas and equations are beneficial. On the other hand, if one is doing a CS degree, is that the sort of programming one really wants to end up doing?
Aim high! Quote: I'd suggest that it's most important first to understand notions of function, proof, and sets if these aren't already familiar to you.
These concepts are also critical in lots of life discrete maths , so it won't be wasted time! Functions, proofs and sets are valuable far outside the realm of calculus. Just understanding what a proof is, is a significant leap in your understanding of logic.
There are going to be many life problems where sets will apply without involving calculus, but it seems like calc is where that stuff is taught. In fact, typing this out has made something click about a co-worker who does not understand what me and another sysadmin mean when we tell him we want to see the proof.
Wonder how he did in calc That is certainly true, but even in the worst case I would expect substantially less memorization in calculus I than say physics or chemistry or mechanical engineering courses, or god help you a biology course. HalfFlat wrote: newwb wrote: Business and consumer app development dwarf scientific computing. But your general point — that most programming is at best the straightforward application of basic logic — is certainly true.
This is a crucial paradox for me. I don't foresee myself designing algorithms for many years. I use quotes because some people won't view these jobs as true programming jobs. Yet companies expect a full-fledged bachelor's degree to do this kind of work. I could spend time looking for a Software Engineering program at another university, but I've got so much time and money sunk into UMUC and its Computer Science program that I'm afraid to switch. I've learned to just replace it with y'.
The two notations go all the way back to Newton and Liebowitz, right? Bagheera wrote: HalfFlat wrote: newwb wrote: Business and consumer app development dwarf scientific computing. Yes, because entry level programmers should be the ones to be designing the database schemas for projects. Bagheera wrote: Corrupt, Khan Academy rocks my world and is ten thousand times more useful than my textbooks. Do you have a local university where you can get some tutoring, or drop the online class and take it person?
Being able to show up for office hours, or make an appointment to meet the prof there, can make all of the difference in the world. I took 2 years of calc. The teacher can make all of the difference.
My diffeq prof. Us engineering students loved it. The math majors hated it. Bagheera wrote: This frustration has me tempted to change majors.
Calculus is hard, and Calculus 2 is harder, but no calculus is not everywhere in CS, at least if you plan on becoming a software engineer. You'll need calculus concepts to understand papers, learn new algorithms etc, but it won't be as difficult as actually going through a calculus course.
This depends on where you work and what you're doing though. When I look back at that program, and consider what I gained from it, and whether it was worth it, here's what I come up with. I know a good amount about compilers.
I wouldn't have gotten that through the CIS program. This is important, because it helps you understand other concepts that will come up, and there will probably be times in your career where you'll want to write some kind of DSL. Take the compilers class if they still offer it when you're ready.
Its a horrifically hard course, I think its about equal to a normal semester by itself, but it will be useful to you. I have an intuitive understanding of the runtime of pretty much all of the code I've ever written. If I need to go find out how long something will take that is really strange or complicated, I can go back and re-learn what I was taught in that program in less time than it would take to learn it cold.
I think I get the nature of the log function a lot better than some of the people I've worked with as well, even a scientist or two. A lot of people don't really get just how slow that function grows. I was exposed to enough programming languages to whet my appetite for more. It gave me the ability to determine where I want to take my career, and how I want to shape my style. I didn't learn functional programming in school, and I still am no expert, but I can code in lisp have learned Clojure and Scheme and I generally organize my code into pure functions.
This is very valuable, when you get into the real world you'll see that lots of people out there that write very bad code, and don't know why their code is bad or even that it is bad. A real CS education will give you the grounding you need to write sane code. Some of the people I've worked with have said that you can tell a CS person from his code as opposed to a CIS, or a scientist that has taken up coding. From my experience that is not always the case, but I do find that other CS guys are generally much better than guys that studied other things electrical engineering, physics etc and moved into software engineering.
Of course I have met physicists that wrote spectacular code, so I don't want to disrespect those types, its just that usually they're not nearly as good. This next point has been mentioned, but I just want to re-iterate it in a more interesting way The main thing you get is balls. A proper CS education gives you some pretty weighty balls. A good part of the job is just not being afraid of things. People are going to constantly ask you to do things you've never done before, and these things are going to be very complicated.
You'll have to figure things out yourself, and you'll know that what you're doing will impact your career in a significant way. You might come straight out of college and be asked to implement a moderately large and complex system that is critical for your company with almost no supervision it happened to me.
For certain functions, such as setting the color of an object, you will need knowledge of the hexadecimal numbering system. Beyond this, within binary mathematics, standard arithmetical functions are used, including addition, subtraction, multiplication, and division.
College Algebra. College algebra is one of the foundational fields of mathematics and something students need to master to move on to higher-level math. Basic college algebra covers foundational concepts such as linear equations, quadratic equations, exponents, factoring, polynomials, rational expressions, operations, radicals, ratios, proportions, and rectangular coordinates. Algebra is one of the oldest bodies of mathematical knowledge beyond basic arithmetical functions.
It focuses on graphs and equations and the ability to solve equations for unknown variables. Algebra is used in computer programming to develop algorithms and software for working with math functions. It is also involved in design programs for numerical programs. Statistics is a field of math that deploys quantified models, representations, and synopses to conclude from data sets.
In many different fields, statistical analysis is used for a variety of purposes, and this is the same in the computer science field. Statistics allow researchers to analyze data to derive conclusions about underlying trends and to make predictions about future behavior and trends.
Some measures used in statistics include regression analysis, mean, variance, analysis of variance, skewness, and kurtosis. Statistics are used in regression analysis within computer science, as well as data mining, data compression, traffic modeling, speech recognition, vision and image analysis, and artificial intelligence. Calculus studies rates of change through the calculation of derivatives and integrals of functions. As a result, Calculus is typically divided into two complementary subfields, differential calculus, and integral calculus.
Differential calculus studies rates of change when a quantity is known.
0コメント