Scientists may use computers for simulation of complex events. For example, they can use computer simulation to predict about the affects of earthquake on buildings in a particular area. They may use computer simulation to know the effects of rapid population increase on weather conditions.

Computer can be used for, deciding population sample, questionnaire designing and data collection. These are different internet sites which help to design questionnaire. Several softwares can be used to calculate the sample size. It makes pilot study of the research possible.

Supercomputers

Uses of Computers in Scientific Research. Scientists, engineers and researchers alike are able to compile vast amounts of data and leave it to the computer to work through the data while focusing on another area of the research project. This creates research results with fewer errors and better-engineered products.

Here are the top 6 jobs you could get with a computer science degree:

1. Full Stack Web Developer. A full stack web developer is well-versed in both front- and back-end web development.
2. Mobile Application Developer.
3. Software Engineer.
4. Systems Architect.
5. Machine Learning Engineer.
6. Data Engineer.

Computer Science and Computing-Related Fields: What are They and What’s the Difference?

• Computer Science.
• Computer Engineering.
• Information Systems.
• New Media.
• Information Technology (IT)
• Information Science.

Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application.

Areas of research in the field include algorithms, architecture, artificial intelligence, computer vision, computational biology, concurrency and distributed computing, database systems, machine learning, machine vision, natural language processing, networks, numerical analysis, programming environments, programming …

The term was fought about in the early to mid 1960s, but the thinking was that computer science is really about the ability to solve problems using computers, rather than about the design of computers themselves or the engineering of particular solutions.

Is computer science hard? Yes, computer science can be hard to learn. The field requires a deep understanding of difficult topics like computer technology, software, and statistical algorithms. However, with enough time and motivation, anyone can succeed in a challenging field like computer science.

The study of computer hardware and software is an example of computer science. The study of the design and operation of computer hardware and software, and of the application of computer technology to science, business, and the arts.

Topics include: Computers and Computation, Algorithms and Tractability, Systems and Networks, Artificial Intelligence and Machine Learning, Programming Languages and Compilers, Cryptography and Security, Graphics and Vision, Human Computer Interaction, Network Science, Human Computation, and Robotics.

A closer look at some of the most popular computer science topics is provided below.

• Programming language theory.
• Computer graphics.
• Human-computer interaction.
• Artificial intelligence.
• Algorithms and data structures.

Data Structure & Algorithms. Circuit Theory & Networks. Computer Organisation. Digital Electronics & Logic Design. Principles of Programming Language.

Undergraduate Courses usually include programming, algorithms and data structures, computer architecture, operating systems, computer networks, parallel computing, embedded systems, algorithms design, circuit analysis and electronics, digital logic and processor design, computer graphics, scientific computing, software …

Mathematical Concepts are Required in many Disciplines of Computer Science. For example, fields like Artificial Intelligence and Machine Learning require a thorough knowledge of Mathematical concepts like Linear algebra, Multivariable Calculus, Probability Theory, etc. (And that makes Maths pretty important!!!)

If you want to work in computer science, you need to be able to grasp complex mathematics. Advanced Calculus and Linear Algebra is just the beginning and are heavily dependent on algebra. There’s very little opportunity for computer scientists without getting the math down.

What Yuval said is true, Computer Science does require less mathematics than a pure-maths degree or even electrical engineering but some of the maths you may encounter will be a bit harder and theoretical. Depending on your university, the requirements for computer science may also be different.