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Computer Science

Introduction to Computer Science

  • What is Computer Science?

  • History of Computing

  • The Role of Computers in Society

  • Computer Hardware vs. Software

  • Basic Concepts: Algorithms, Data Structures, and Programming

Computer Hardware & Software

  • Components of a Computer: CPU, RAM, Hard Drive, Input/Output Devices

  • Operating Systems: Functions and Types

  • Software Types: System Software vs. Application Software

  • Programming Languages: High-level vs. Low-level

  • The Role of Compilers and Interpreters

Algorithms & Problem Solving

  • Understanding Algorithms: Definition and Types

  • Steps in Problem Solving: Decomposition, Pattern Recognition, Abstraction, and Algorithm Design

  • Sorting Algorithms: Bubble Sort, Merge Sort, Quick Sort

  • Searching Algorithms: Linear Search, Binary Search

  • Time and Space Complexity (Big O Notation)

Programming Fundamentals

  • Basic Syntax and Structure of a Program

  • Variables, Data Types, and Constants

  • Operators: Arithmetic, Relational, Logical

  • Control Structures: If-Else, Loops (For, While, Do-While)

  • Functions and Procedures

  • Arrays and Lists

Object-Oriented Programming (OOP)

  • Principles of OOP: Encapsulation, Abstraction, Inheritance, Polymorphism

  • Classes and Objects

  • Constructors and Destructors

  • Method Overloading and Overriding

  • Access Modifiers (Private, Public, Protected)

  • Example Languages: Java, C++, Python

Data Structures

  • Arrays vs. Linked Lists

  • Stacks and Queues

  • Trees: Binary Trees, AVL Trees, B-Trees

  • Graphs: Representation and Traversal (BFS, DFS)

  • Hash Tables and Hash Maps

  • Heaps and Priority Queues

Databases & SQL

  • Introduction to Databases and Database Management Systems (DBMS)

  • Types of Databases: Relational, NoSQL

  • Database Design: Tables, Keys, and Relationships

  • SQL: SELECT, INSERT, UPDATE, DELETE

  • Normalization and Data Integrity

  • Indexing and Query Optimization

Computer Networks & Internet

  • Network Basics: LAN, WAN, Protocols (TCP/IP, HTTP)

  • OSI Model and Layers

  • Internet Infrastructure: Servers, Routers, DNS

  • Wireless Communication: Wi-Fi, Bluetooth, Cellular Networks

  • Web Technologies: HTML, CSS, JavaScript, Web Frameworks

  • Cloud Computing and Virtualization

Cybersecurity

  • Basics of Cybersecurity: Confidentiality, Integrity, Availability

  • Cryptography: Symmetric vs. Asymmetric Encryption

  • Network Security: Firewalls, VPNs, IDS/IPS

  • Malware and Virus Protection

  • Ethical Hacking and Penetration Testing

  • Privacy and Data Protection Laws (GDPR, CCPA)

Software Development & Testing

  • Software Development Life Cycle (SDLC): Waterfall, Agile, Scrum

  • Version Control Systems: Git, GitHub

  • Software Testing: Unit, Integration, System Testing

  • Debugging Techniques

  • Code Review and Pair Programming

  • Continuous Integration and Continuous Deployment (CI/CD)

Artificial Intelligence & Machine Learning

  • Introduction to AI: Types of AI (Narrow AI, General AI)

  • Machine Learning Basics: Supervised, Unsupervised, Reinforcement Learning

  • Neural Networks and Deep Learning

  • Natural Language Processing (NLP)

  • AI in Real-World Applications: Robotics, Autonomous Vehicles, Chatbots

Ethics in Computing

  • Ethical Issues: Privacy, Intellectual Property, Security

  • Technology’s Societal Impact: Job Displacement, Digital Divide

  • Responsible Computing and Sustainable Development

  • AI and Ethics: Bias, Accountability, Transparency

  • The Future of Technology: Automation, AI, and Ethics