Computer Science Core Subjects

This guide is designed to help you master core computer science subjects. It’s ideal for exam prep, interviews or self-study. It covers topics like Operating Systems, DBMS, Computer Networks, Programming, Data Structures and more, offering detailed tutorials, examples, quizzes and useful resources.

Below, you can directly access tutorials on the following core computer science subjects:

1. Computer Fundamentals : Before beginning computer science journey, we need to have good understanding of fundamentals like input / output devices, hardware / software, different types of memories, internal components and memory sizes.
2. Operating Systems: System software that manages computer hardware and software resources. It handles tasks like memory management, process scheduling and file systems.
3. Database Management System (DBMS): Software for creating and managing databases. It handles storage, retrieval and updating of data in a structured and secure manner.
4. Computer Networks: The study of how computers communicate with each other. It includes topics like IP addressing, protocols, network devices and the internet structure.
5. Computer Organization and Architecture: Deals with the internal structure and functioning of a computer, including the CPU, memory, I/O devices and system architecture.
6. Theory of Computation: A theoretical field that explores the limits of what can be computed. It includes automata theory, formal languages and Turing machines.
7. Engineering Mathematics: A branch of applied mathematics used in engineering fields. It includes topics like linear algebra, calculus, probability and discrete math to solve technical problems.
8. Digital Electronics and Logic Design: The study of electronic circuits that operate using digital signals. It involves logic gates, number systems and the design of digital components like adders and counters.
9. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects," which contain data and methods. Key principles include inheritance, encapsulation and polymorphism.
10. Advanced Computer Subjects: A category that includes specialized fields like Machine Learning, Cyber Security, Data Mining and other modern technologies.
11. Distributed Systems: Computer systems that run across multiple machines but appear as a single system to users. Used in cloud computing and large-scale applications.
12. Data Warehousing: A system used for reporting and data analysis. It collects and manages data from different sources to provide business insights.
13. Software Engineering: A field focused on the design, development, testing and maintenance of software. It uses structured approaches to ensure quality and reliability.
14. Web Technology: Covers the tools and techniques used to build web applications. Includes HTML, CSS, JavaScript, backend programming and web protocols.
15. Microprocessor: A programmable electronic component that acts as the brain of a computer or embedded system. It performs arithmetic and logic operations.
16. Compiler Design: The study of how compilers translate high-level programming languages into machine code. It includes lexical analysis, parsing and code generation.