Answer (1 of 3): Since you specify "computer science", we'll take the hard route: 1. Analysis of Algorithms relies on calculus, differential equations, and discrete mathematics. (Many view analysis of algorithms as the primary differentiator between computer science and software engineering prog...
Discrete mathematics, linear algebra, number theory, and graph theory are the math courses most relevant to the computer science profession. Different corners of the profession, from machine learning to software engineering, use these types of mathematics.
Number theory for security, stats and linear algebra for machine learning and recommender systems, linear algebra for graphics; it'll depend on where your interests lie. Discrete math and a general comfortableness with mathematical proofs is probably most essential for a strong foundation in computational complexity theory.
Since you have already taken Calculus, Linear algebra and Discrete Mathematics (which I presume includes Graph theory and some Combinatorics), I would suggest Abstract Algebra: For a motivation of this, try reading the paper Primes is in P which gives a polynomial time algorithm for prime number detection.
Although broadly defined, computer science is basically the practical and scientific approach to computation as well as its applications. More specifically, computer science is the study of the structure, mechanization, and expression of the processes used to store, communicate, and process information encoded within bits in computer memory. An individual who works as a computer scientist will typically specialize in both computation theory as well as computational systems design. As Dawn Rosenberg McKay points out in her important article Career Paths for Computer Science Majors, the job outlook for this sector is high.
Elementary Probability. Elementary Probability. Additionally, students are often required to complete around 15 hours of electives. In so doing, they must select from a list of electives that will likely include math courses such as the following: Electives. Introduction to Analysis I. Ordinary Differential Equations.
If you are thinking about pursuing a career in computer science, you should know that doing so can be both personally and professionally rewarding. Now that you have obtained an answer to the important question “Does a computer science degree require a lot of math courses?,” you can prepare yourself to excel in your required math courses.
Discrete mathematics, linear algebra, number theory, and graph theory are the math courses most relevant to the computer science profession. Different corners of the profession, from machine learning to software engineering, use these types of mathematics. Without these math classes, you may struggle to manage data structures, databases, and algorithms.
Most degrees require some understanding of calculus—many programs require students to reach Calculus III. Typically, computer science degree programs offer abstract algebra, discrete mathematics, graph theory, and other math courses alongside its computer science courses. The math courses play a critical role in helping students understand programming languages, data structures, differential equations, and more.
Any reputable computer science degree program will teach discrete math, differential equations, calculus, and linear algebra. If you’re learning computer science on your own, though, you can find these math courses on the internet. A lot of these courses are free, too.
The math courses play a critical role in helping students understand programming languages, data structures, differential equations, and more. Calculus is often used in computer graphics, scientific computing, and computer security. If you want to work in these professions, you should have a fair understanding of calculus, ...
Computer science is a unique field. Some of its more difficult components take years to learn, while simpler languages can take one month or less if you study vigorously. For the more difficult computer science professions, you must have an understanding of discrete mathematics, calculus, and more. And because math is a subject ...
Computer science is a fascinating field. Unlike science, which investigates the natural world, or political science, which analyzes the institutions we’ve been using for thousands of years, computer science is newer, more nuanced, and often much more challenging to absorb.
Before we dive into the specifics, it’s important to note that not all computer scientists use math every day. In fact, some never use it at all. But math is still useful for two reasons: first, many computer scientists do use math every day, making the subject nothing less than a requirement for certain jobs; second, ...
Have a son or daughter interested in hacking (or hopefully how to prevent it)? Software development and cyber security are excellent to learn about at the middle school level. For more ideas and information, check out these online resources:
Web development is another great way to practice essential computer science and coding skills. Students can begin to learn Hyper Text Markup Language (HTML), the backbone of a webpage, as well as JavaScript and Flash to add dimension.
The Khan Academy The Khan Academy offers Drawing and Animation, which makes use of JavaScript and the ProcessingJS library to animate and draw.
Kodable Kodable is an iPad game to teach children as young as age five how to develop coding skills. Learning tools are also available for students as advanced as the 12th grade.
By the year 2020, there will be an excess of 100,000 jobs in computing available beyond the number of college graduates skilled to work in the field, reports The Educators Room.
The connected world is the world of the future and whether you decide to strictly work in computer science and programming, or cross over into fields such as health care or space science, you can help build and design the programs and technologies. The exciting thing is that many of these technologies remain to be seen. It’s already clear that programing and coding are the basis for so many new and progressive ideas, which begs the question: Are you ready to shape the future?
High School and College Prep. Just 30,000 students took the Advanced Placement test in computer science in 2013, according to Education Week. Less than 20 percent of those test-takers were female, about eight percent were Hispanic and less than 3 percent were African-American.
The rule of thumb that I developed as a CS undergrad 45 years ago - and I’ve always offered as advice ever since - is: in a given semester, never take more than three (3) CS classes that require any significant coding. So, if two of those courses don’t require coding, then you’d still be within the limit.
It depends partly on the courses. If they are largely lecture with normal homework, then five courses may be reasonable. However, there are courses where the homework is excessive. The homework computer science courses that have programming assignments can easily take three times longer to complete as normal homework. I have also seen that in some math classes.
Keep in mind that each class you take will have a number of lectures or seminars a week that could range from anywhere between 45 minutes to 2 hours in some cases.
Well honestly speaking it might not be doable. If you really want to learn things, these courses in one semester might be a bit more that you can do. I would suggest take a different combination of courses. For example Machine Learning is a very demanding course if you want to do it right, and same goes for Parallel Programming, so if you do these two, the remaining three courses should be easy courses, not software testing or computer networks.
I once had a professor tell me the rule of thumb expectation is that a student should spend five hours every week studying for every credit hour he or she is taking.
Looks like a nightmare, Computer Networks should be an easy class. Intro to Machine learning and Parallel programming will be pretty difficult. Software testing and Software engineering project will be time consuming.