When you go to High level Physics and Chemistry, especially Physics, Math becomes the major role of the course. You will learn how to calculate and deduct complex system using mathematics. They might be "easy" math on appearance, but the ability to apply and use Mathematics is very important
Comp. Sci. is a sub branch of Mathematics. Reason? Mathematics are problem solving skills. And Comp. Sci. is all about problem solving and logic. When you build a program, you need to know not just the code, you need to know its efficiency. You need know why the code works, why the code is more efficient then others. When you work in a group (guaranteed in Comp. Sci. careers), how do you understand what's going on. All math related skills.
Engineering includes all the above.
Mathematics and physics are both required for computer science and computer engineering degrees; chemistry might not be, depending upon your individual school.
nothing and everything
Because it's all based on math.
Mathematics, chemistry and physics form much of the basis of engineering - do well at those and you should do well in engineering. Mathematics is the only applicable subject related to computer programming, but being good at the other two subjects indicates both a logical mindset and good memory for information, which are useful skills in any computer-related field.
Erwin Kreyszig has written: 'Matematicas avanzadas para ingenieria/ Advanced Engineering Mathematics' 'Advanced Engineering Math 8E with Student Solutions Manual Set' 'Advanced engineering mathematics' -- subject(s): Mathematical physics, Engineering mathematics, Toepassingen, Engineering classic 'Kreyszig Advanced Engineering Mathemati' 'Advanced Engineering Mathematics, A Self-Contained Introduction (Maple Computer Guide) (Advanced Engineering Mathematics)' 'Instructor's manual for advanced engineering mathematics' 'Mathematica computer guide' -- subject(s): Data processing, Engineering mathematics, Mathematica (Computer file), Mathematical physics 'Mathematics 8th Edition with Student Solutions Manual and Mathematica Computer Guide Set' 'Advanced Engineering Mathematics 8E with Maple Manual Set' 'Maple Computer Manual for Advanced Engineering Mathematics' 'Differentialgeometrie' -- subject(s): Differential Geometry, Geometry, Differential 'Statistische Methoden und ihre Anwendungen' -- subject(s): Probabilities, Mathematical statistics 'Advanced Engineering Mathematics, Student Solutions Manual and Study Guide' 'Maple computer manual for seventh edition 'Advanced engineering mathematics'' -- subject(s): Maple (Computer program), Engineering mathematics 'Advanced Engineering Math 9th Edition with Mathematica Computer Manual 9th Edition Set' 'Advanced Engineering Mathematics 9th Edition with Wiley Plus Set' 'Kreyszig Advanced Engineering Mathematics' 'Advanced Engineering Mathematics' 'Instructor's manual for Advancedengineering mathematics' -- subject(s): Engineering mathematics 'Mathematica to Accompany Advanced Engineering Mathematics'
A lot. Computer science uses mathematical models, or models derived from mathematics, to define and model a huge portion of theory. Practical application to problems typically involves mathematical methods even for problems seemingly unrelated to mathematics. Candidates for a degree course in computer science, or any other engineering course, should provide a strong background in mathematics.
Numerate degrees are those degrees found in mathematics, economics, engineering and physics. Semi numerate degrees are degrees in accounting and finance, chemistry, and computer science.
The fact that it's required to even begin to understand fundamental theory in all of them?
Because math, physics, chemistry and computer science are not the same things. Just because you're good at using maths doesn't necessarily mean you're not good at applying them. Theoretical and applied mathematics are widely considered very different fields.
Numerate degrees are those degrees found in mathematics, economics, engineering and physics. Semi numerate degrees are degrees in accounting and finance, chemistry, and computer science.
off course! why not?......!
Accounting, Engineering(except computer engineering, software engineering and electrical engineering), Physics, Chemistry, etc