Computer Science Core Subjects

Last Updated : 05 Apr, 2025

Are you looking for a comprehensive guide to master the core subjects of computer science? If you're preparing for exams, interviews, or simply enhancing your knowledge, this article is your one-stop destination.

This guide offers the latest articles, detailed tutorials, practical examples, quizzes, and resources for all Computer Science subjects, all in one organized place.

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

Get ready to master the core subjects of computer science like Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks, etc. with clarity and confidence? Let’s start!

1. Operating Systems

Get to know the core concepts of operating systems (OS), explaining their role in managing hardware and software resources and providing examples of popular OS like Linux, Windows, and macOS.
Equips you with all the essential topics such as process scheduling, synchronization, memory management, deadlock handling, and disk management, explaining how each component works in detail.
Practice quizzes and problems on critical OS concepts, including CPU scheduling, deadlock, multithreading, and memory management, with additional insights into OS types and functions to help strengthen understanding and prepare for exams or interviews.

Click here to know more - Operating Systems

2. DBMS

It explains the concept of Database Management Systems (DBMS), covering how they help in organizing, managing, and securing data efficiently within databases.
List of core topics like ER modeling, relational models, normalization, indexing, and transactions, emphasizing their importance in database design and optimization.
Get practical insights, quizzes, and interview questions to help master DBMS concepts and prepare for real-world database challenges and interviews.

Click here to know more - DBMS

3. Computer Networks

Learn the fundamentals of computer networks, covering key concepts like network types, elements, and topologies, providing a solid foundation for beginners.
Delves into advanced networking topics such as OSI & TCP/IP models, IP addressing, subnetting, and network devices, with practical insights on their real-world applications.
Explores networking protocols and security measures like routing, DNS, DHCP, VPNs, firewalls, and QoS, equipping you with essential skills for network management and security.

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4. Compiler Design

Get to know about essential concepts in compiler design, from the phases of a compiler to error handling, symbol tables, and language processors, providing a comprehensive foundation.
Dive into key stages like lexical analysis, syntax analysis, parsing techniques, and syntax-directed translation, offering practical insights and code examples.
Explore the advanced topics of compiler design such as code generation, optimization, runtime environments, and the development of compilers, preparing learners for building efficient, functional compilers.

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5. Data Structures & Algorithms

Learn core data structures like arrays, linked lists, stacks, queues, trees, and graphs — with real use cases and performance insights.
Master key algorithm types: sorting, searching, recursion, greedy, dynamic programming, and more.
Understand how data structures and algorithms work together to solve real-world problems efficiently.
Get access to detailed guides, coding practice problems, and interview preparation resources.

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6. Web Technology

Get a detailed overview of web technologies, including key concepts such as web browsers, web servers, web pages, and the role of both frontend and backend development in building websites.
Learn essential frontend languages like HTML, CSS, JavaScript, and frameworks for interactive, user-facing features, alongside backend technologies such as PHP, Node.js, Python, and Java for server-side functionality.
Give you an edge in covering critical web development components such as databases (relational and NoSQL), web protocols, data formats (JSON, XML), and graphical elements, ensuring a comprehensive understanding of how web applications are built and maintained.

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7. Theory of Computation

It provides a comprehensive introduction to the theory of computation, including key topics like automata theory, formal languages, and the different classifications of grammars such as context-free and context-sensitive grammars.
Aims to covers critical topics in automata, including finite automata, pushdown automata, and Turing machines, with an emphasis on designing and converting between automata, as well as their applications in language recognition and problem-solving.
Helps you understand advanced concepts like decidability, NP-completeness, and recursively enumerable languages, equipping you with the knowledge to understand the limits of computation and solve complex theoretical problems.

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8. Computer Organization and Architecture

Learn all the key concepts like CPU architecture, instruction set design, memory organization, and microprogrammed control, covering both theoretical and practical aspects of computer systems.
Get knowledge of advanced topics such as pipelining, cache memory, DMA, and system-level design, with examples like I/O interfaces, memory hierarchy, and the role of registers.
List of practice problems on number systems, instruction formats, computer arithmetic, and microprocessor programming, alongside a focus on performance optimization and parallel computing.

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9. Digital Electronics

Covers the fundamentals of digital electronics, including number systems, Boolean algebra, and logic gates, and extends to advanced concepts such as memory, programmable logic, and data communication.
Learn about the design and optimization of combinational and sequential circuits, including adders, multiplexers, flip-flops, and counters, while also introducing key topics like K-map minimization and RTL design.
Practice programming exercises on base conversions, code converters, and digital logic operations, with applications in real-world scenarios such as analog-to-digital conversion and transmission impairment.

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10. Mathematics

Learn key areas like discrete mathematics, linear algebra, calculus, and statistics, providing foundational and advanced knowledge for problem-solving in engineering.
Get deeper knowledge of important topics such as propositional logic, set theory, combinatorics, probability, and graph theory, with practical applications in various engineering fields.
Includes comprehensive modules on matrix operations, eigenvalues, interpolation, probability distributions, and numerical methods to equip you with essential analytical tools for solving complex engineering problems.

Click here to know more - Mathematics

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