Computer Science Core Subjects

This guide is designed to help you learn 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.

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

1. Computer Science Core Foundations

• 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.
• 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.
• Maths for Computer Science: Maths for Computer Science is the foundation that helps computers solve problems logically and efficiently. It includes topics like discrete math, linear algebra, probability and logic, which are essential for programming, algorithms and AI.

2. Systems & Networking

• Operating Systems: System software that manages computer hardware and software resources. It handles tasks like memory management, process scheduling and file systems.
• Theory of Computation: A theoretical field that explores the limits of what can be computed. It includes automata theory, formal languages and Turing machines.
• Compiler Design: The study of how compilers translate high-level programming languages into machine code. It includes lexical analysis, parsing and code generation.
• Computer Networks: The study of how computers communicate with each other. It includes topics like IP addressing, protocols, network devices and the internet structure.
• 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.

3. Data and Database Technologies

• Database Management System (DBMS): Software for creating and managing databases. It handles storage, retrieval and updating of data in a structured and secure manner.
• Data Warehousing: A system used for reporting and data analysis. It collects and manages data from different sources to provide business insights.

4. Data Science

• Machine Learning Tutorial: Machine Learning is a part of AI where computers learn from data without being manually programmed.
• Artificial Intelligence Tutorial: Artificial Intelligence is the science of making machines behave like humans. It’s a broad field that includes machine learning, robotics, language understanding.
• Data Analysis Tutorial: Data Analysis is the process of examining data to find useful information, patterns or trends.
• Data Science Tutorial: Data Science is a combination of data analysis, programming, and statistics to solve real-world problems using data. It’s about collecting data, cleaning it, analyzing it, and building models to make predictions.

5. Programming & Software Development

• Software Engineering: A field focused on the design, development, testing and maintenance of software. It uses structured approaches to ensure quality and reliability.
• Web Technology: Covers the tools and techniques used to build web applications. Includes HTML, CSS, JavaScript, backend programming and web protocols.

6. Advanced Topics

• Advanced Computer Subjects: A category that includes specialized fields like Machine Learning, Cyber Security, Data Mining and other modern technologies.