Computer Science learning for school students (2024)

FAQs

What do you learn as a computer science student? ›

Principal areas of study and careers within computer science include artificial intelligence, computer systems and networks, security, database systems, human-computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics, and theory of computing.

Algorithms and Data Structures

Knowledge of algorithms such as sorting, searching, and graph algorithms, along with data structures like arrays, linked lists, and trees, is crucial for computer science professionals to execute as part of their everyday duties.

Ask your child about the projects they're working on and encourage them to explain what they're learning. Help them set goals and celebrate their successes, no matter how small they may seem. You can also set them up with some amazing resources, such as coding tutorials, educational apps, and fun coding games.

As such, computer scientists should be aware of how kernels handle system calls, paging, scheduling, context-switching, filesystems and internal resource management. A good understanding of operating systems is secondary only to an understanding of compilers and architecture for achieving performance.

Computer Programming

A significant portion of your computer science studies will involve programming. You start out by learning high-level, basic languages such as Java and C++.

Computer science is the field of study that focuses on computation, information, and automation using computers and computational systems. Computer scientists use various tools, programming languages, algorithms, and computer hardware and software to design, develop, and analyze computational processes and systems.

By focusing on programming proficiency, problem-solving abilities, data structures and algorithms, database management, web development, operating systems, networking, cybersecurity, collaboration and communication, and a mindset of continuous learning, you can prepare yourself for a successful career in computer ...

If you're a self-taught engineer or bootcamp grad, you owe it to yourself to learn computer science. Thankfully, you can give yourself a world-class CS education without investing years and a small fortune in a degree program 💸. There are plenty of resources out there, but some are better than others.

What is the first step to learn computer science? ›

Step 1: Learn to code

It's a crucial skill to have in the computer science world. There's many different coding languages out there. First, start with the basics, which are HTML and CSS. Then you can soon move on to more complex languages, but are still relatively easy to get a hang of, like Python and Java.

One of the first computer skills an elementary student should learn is how to navigate a computer. This means being able to use basic hardware such as a mouse, keyboard, touchpad or touchscreen, as well as being able to find and access basic applications and files.

Develop your math skills

Some parts of computer science require you to know the math behind how they work. Developing your math skills can help you be a more versatile computer science student and allow you to understand the material you use.

Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theory of computing.

A computer science degree equips you with valuable technical skills many employers and industries seek. In this program, you'll learn how to code, design and analyze algorithms, and develop software. You'll also learn to think critically, problem-solve, and create new technologies.

Probability & Statistics, Numeric Computing, Artificial Intelligence, Databases, Data Mining, Differential Equations, Linear Algebra, Calculus, Image Processing, NLP and Machine Learning will help Data Scientists and Scientific Computing people.