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Advanced Computer Subjects Tutorials
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Advanced Computer Subjects Tutorials

Last Updated : 04 Apr, 2025
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Prerequisite: Computer Fundamental Tutorial

Computer science is a constantly changing subject that is at the center of building the future of technology and innovation. As we move deeper into more advanced computer topics, we learn about intricate theories and emerging technologies that are revolutionizing industries around the world.

  • Machine learning and artificial intelligence are transforming industries to the point that systems can learn, evolve and accomplish tasks independently.
  • Understanding fuzzy logic is essential for optimizing problem-solving techniques in real-world applications.
  • Cyber security and encryption techniques are essential to protect information and maintain privacy in the modern digital world.
  • Data Warehousing is revolutionizing computational capabilities, providing solutions to problems that were previously thought to be impossible.

Advanced Computer Subject Tutorial Index

In the next section we will have a topic wise categories for advanced computer subjects. So, browse the below section to know the basics of computer fundamentals

Machine Learning

Machine learning is a revolutionary technology that allows computers to learn from data and make predictions without direct programming. Through the analysis of massive datasets, machine learning algorithms discover patterns and insights, leading to innovation in sectors such as healthcare, finance and marketing.

  • Getting Started with Machine Learning
  • Artificial Intelligence | An Introduction
  • Artificial Intelligence Permeation and Application
  • What is Machine Learning ?
  • An introduction to Machine Learning
  • Introduction to Data in Machine Learning
  • Introduction to Deep Learning
  • Demystifying Machine Learning
  • Applications
  • Machine Learning and Artificial Intelligence
  • Difference between Machine learning and Artificial Intelligence
  • Agents in Artificial Intelligence
  • Types of Learning – Supervised Learning
  • Types of Learning – Part 2
  • Supervised and Unsupervised learning
  • Reinforcement learning
  • Regression and Classification
  • Understanding Logistic Regression
  • Understanding Logistic Regression
  • Multivariate Regression
  • Confusion Matrix in Machine Learning
  • Linear Regression(Python Implementation)
  • A single neuron neural network in Python

More on Machine Learning >>

Fuzzy Logic

Fuzzy logic is a robust computational technique that addresses reasoning and decision-making in imprecise or uncertain settings. Fuzzy logic, unlike binary logic, supports multiple levels of truth, making it suitable for practical applications like control systems and artificial intelligence.

  • Fuzzy Logic | Introduction
  • Fuzzy Logic | Set 2 (Classical and Fuzzy Sets)
  • Introduction to ANN (Artificial Neural Networks) | Set 3 (Hybrid Systems)

Security & Attacks

Cybersecurity is necessary for securing sensitive information and systems against harmful attacks, securing the integrity and secrecy of digital content. With more advanced cyber threats, cybersecurity is crucial in preventing various kinds of attacks, such as phishing, malware and ransomware.

  1. Denial of Service and Prevention
  2. Path Traversal Attack and Prevention
  3. Understanding ReDoS Attack
  4. Session Hijacking
  5. Basic SQL Injection and Mitigation with Example
  6. How to use SQLMAP to test a website for SQL Injection vulnerability
  7. Mitigation of SQL Injection Attack using Prepared Statements (Parameterized Queries)
  8. Code Injection and Mitigation
  9. Command Injection Vulnerability and Mitigation
  10. What is WannaCry? How does WannaCry ransomware work?
  11. Buffer Overflow Attack
  12. Buffer Overflow Attack with Example
  13. Format String Vulnerability and Prevention with Example
  14. Automated Brute Forcing on web-based login
  15. How slow HTTP can knock down a server?
  16. Memcached exploit
  17. Meltdown Security Vulnerability
  18. hmac – Keyed-Hashing for Message Authentication
  19. Secure Coding
  20. Hill Cipher
  21. Baconian Cipher
  22. Passwords and Cryptographic hash function
  23. How to store a Password in Database ?
  24. Passwords | Entropy and Cracking
  25. Cookie Tracking and Stealing using Cross-Site Scripting

Data Warehouse & Data Mining

Data mining and data warehousing are essential methods for uncovering useful information from large pools of organizational data. A data warehouse combines data from various sources into a single, centralized repository that facilitates business intelligence and decision-making. Data mining, in contrast, employs sophisticated algorithms to investigate such data, identify patterns and forecast trends, allowing businesses to make informed decisions and optimize operational effectiveness.

  1. Data Warehouse
  2. Data Mining
  3. Basic Concept of Classification (Data Mining)
  4. Understanding Data Attribute Types | Qualitative and Quantitative
  5. Apriori Algorithm
  6. How mining works?

Digital Image Processing

Digital image processing is the manipulation and analysis of digital images to improve quality and extract useful information. Through algorithms, the technology enhances image sharpness, filters out noise and facilitates applications like facial recognition, medical imaging and satellite monitoring.

  1. Digital Image Processing Basics
  2. Image Compression using Huffman Coding
  3. Basics of Augmented Reality
  4. Segments in Computer Graphics

Recent Articles on Advance Computer subjects!

Advanced Computer Subjects Tutorials

How to learn computer from basic to advanced?

To learn computers from basic to advanced, start with foundational subjects such as programming, understanding operating systems and computer hardware. Once comfortable, move to more complex topics like data structures, algorithms and databases. As you progress, explore advanced fields like machine learning, artificial intelligence and cybersecurity for a deeper understanding of modern computer science.

What do you learn in advanced computer science?

In advanced computer science, you delve into sophisticated topics such as machine learning, artificial intelligence, data structures and algorithms, distributed systems and computer networks. You'll also explore specialized areas like cryptography, cloud computing and advanced database management, often involving both theoretical concepts and real-world applications.

What is the hardest topic in computer?

The hardest topics in computer science are often algorithms, complexity theory and cryptography. These areas require deep mathematical knowledge and problem-solving skills. Other challenging subjects include machine learning and quantum computing, which involve intricate concepts and advanced techniques that can be difficult to master.

What is advanced computer course?

An advanced computer course focuses on in-depth study of specialized areas in computer science. It covers topics such as software engineering, artificial intelligence, cybersecurity, data mining and robotics, preparing students for complex real-world applications and technical roles. These courses often require a solid understanding of foundational concepts and aim to deepen knowledge for professional or academic advancement.


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