Aug 14, 2018 · Because math simply make a person more logical, creative and intelligence. To be a better programmer one must know at least a very little of Discrete Mathematics, Linear Algebra, Calculus, Probability, Cryptography, Geometry and Statistics. That’s why I’ve created this list for you to get started.
Linear Algebra is a good class to take. Statistics, trig, calc, etc all have lots of applications. The FAQ is right: just take math and more math and you'll do alright. 6. level 2. Olaftheminotaur. 6 years ago. I hate my linear algebra class but it has made me such a more organized and logical programmer. 2.
Calculus, while not directly used in intro-level computer science classes, is generally a sequence of courses offered by your university to buff up your math skills. As you start getting into things like numerical programming and machine learning, though, it will prove immensely useful.
So in summary: the answer is a LOT. If you want to go into CS, I highly suggest building up a strong background in statistics, probability, calculus and linear algebra, and make sure you pay attention in geometry to proofs. Moving forward, these are becoming basic, must have tools for strong computer scientists. 999.
Since you specify "computer scientist", 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 programs). 2 Computer graphics/scientific visualization requires an engineering analysis sort of background: numerical methods, linear algebra, etc. 3 Computational geometry 4 Function approximation 5 Set theory, logic/first-order calculus 6 Probability / Statistics 7 the list goes on :)
This will give you a better understanding of how to do numerical computation and simulation, and is fundamentally necessary for machine learning, one of the most important applications of computer science. Linear Algebra is a class that you will find primarily useful for machine learning and (advanced) algorithms classes, ...
Discrete Math is the most important and basic class for computer science, and for this reason it is usually offered in CS departments instead of math departments. This class will underpin your intro to algorithms to class and teach you how to prove things mathematically and give you the fundamentals for analyzing data structures and algorithms.
Probability is usually covered in some extent in your discrete math class, but you'll want to take a class on continuous probability distributions and statistical inference, probably in the math and statistics department. This will give you a better understanding of how to do numerical computation and simulation, ...
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.
Individuals who want to know whether obtaining a computer science degree will necessitate the completion of a lot of math courses should know that the answer is generally yes.
In some cases, individuals who are passionate about pursuing a career in the field of computer science may find that they are not confident in their mathematical abilities. However, this does not have to preclude them from exceling as a student and/or within their chosen vocational field.
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.
The department of Computer and Mathematical Sciences offers five introductory-level courses in computer science and programming. It can sometimes be difficult for new students to decide which courses they should, or should not, take.
Please pay special attention to pre-requisites, co-requisites and exclusions when you enroll in courses: 1 To enroll in a course you must have successfully completed all pre-requisites. If you have not satisfied pre-requisite, even if the computer system allows you to enroll, you will be removed from the course before the course begins. 2 Co-requisites are courses that must be taken in the same session. 3 When one course is an exclusion of another, then you will not get credit for both courses. If you take both then one of the two will not count toward the 20 credits needed to graduate. In some cases exclusions are not both ways. That is, it is ok to take course A before course B, but not course B before course A. Pay attention to this so you are not surprised by having too few credits when you apply to graduate.
CSCA08 - Introduction to Computer Science I#N#This course is designed for students who are considering pursuing a degree (specialist, major or minor) in Computer Science, or one of the related disciplines. It focuses on helping students learn how to build and analyze simple algorithms. This course assumes no prior knowledge of or exposure to programming.
Co-requisites are courses that must be taken in the same session.
Co-requisites are courses that must be taken in the same session. When one course is an exclusion of another, then you will not get credit for both courses. If you take both then one of the two will not count toward the 20 credits needed to graduate. In some cases exclusions are not both ways.