🧠 Computer Science Concepts
Explore fundamental concepts and theories in computer science
📚 Core CS Concepts
Computer science encompasses various fundamental areas of study:
🧮
Computational Theory
Mathematical Foundations: The theoretical basis of computation
- Automata and formal languages
- Complexity theory
- Computability theory
- Information theory
🏗️
Data Structures
Data Organization: Ways to store and organize data efficiently
- Arrays and linked lists
- Trees and graphs
- Hash tables
- Stacks and queues
⚙️
Computer Systems
Hardware & Software: How computers work at different levels
- Operating systems
- Computer architecture
- Networks and distributed systems
- Parallel computing
🛠️
Software Engineering
Building Software: Principles for large-scale software development
- Software design patterns
- Development methodologies
- Testing and quality assurance
- Project management
CS Concept Category
Click on a category above to learn about its role in computer science.
🏗️ Data Structures Visualization
8
Essential Data Structures Every Programmer Should Know
📋
Array
Sequential collection
O(1) access, fixed size
🔗
Linked List
Dynamic linear structure
O(1) insertion, O(n) search
📚
Stack
LIFO structure
Last In, First Out
🚶♂️
Queue
FIFO structure
First In, First Out
🌳
Binary Tree
Hierarchical structure
O(log n) operations
🕸️
Graph
Network structure
Vertices and edges
Data Structure
Click on a data structure to see its visualization and learn about its properties.
📊 Interactive Data Structure Visualization
See how different data structures organize and access data:
Select a data structure above to see its visualization
Data structures determine how we store and access information efficiently.
⏱️ Algorithm Complexity Analysis
Understanding time and space complexity helps choose the right algorithms:
| Data Structure |
Access |
Search |
Insertion |
Deletion |
Space |
| Array |
O(1) |
O(n) |
O(n) |
O(n) |
O(n) |
| Linked List |
O(n) |
O(n) |
O(1) |
O(1) |
O(n) |
| Hash Table |
O(1) |
O(1) |
O(1) |
O(1) |
O(n) |
| Binary Search Tree |
O(log n) |
O(log n) |
O(log n) |
O(log n) |
O(n) |
| Binary Heap |
O(1) |
O(n) |
O(log n) |
O(log n) |
O(n) |
Complexity Classes:
O(1) Constant - Excellent
O(log n) Logarithmic - Good
O(n) Linear - Fair
O(n²) Quadratic - Poor
🛠️ Software Engineering Methodologies
12
Popular Software Development Methodologies
🌊
Waterfall
Sequential Approach
Linear progression through phases
Traditional, structured
🏃♂️
Agile
Iterative Development
Flexible, customer-focused
Scrum, Kanban
🔄
DevOps
Development + Operations
Continuous integration/deployment
Automation, monitoring
🧪
Test-Driven Development
Tests First
Write tests before code
Red-Green-Refactor
Development Methodology
Click on a methodology to learn about its principles and practices.
🗄️ Database Management Systems
Understanding different approaches to data storage and management:
🔗 Relational (SQL)
Structured data in tables
- ACID properties
- SQL query language
- MySQL, PostgreSQL
- Normalized data
📄 NoSQL
Flexible, document-based
- Schema flexibility
- Horizontal scaling
- MongoDB, Cassandra
- JSON-like documents
⚡ In-Memory
Fast access, cached data
- RAM-based storage
- Ultra-fast queries
- Redis, Memcached
- Session management
🕸️ Graph Databases
Relationship-focused data
- Nodes and edges
- Complex relationships
- Neo4j, Amazon Neptune
- Social networks
Database Type
Click on a database type to learn about its characteristics and use cases.
🔒 Network Security Principles
Essential concepts for protecting computer systems and data:
🔐
Confidentiality
Data privacy and encryption
✅
Integrity
Data accuracy and consistency
🌐
Availability
System accessibility
👤
Authentication
Identity verification
🎫
Authorization
Access control
🔑
Cryptography
Secure communication
Security Principle
Click on a principle to learn about its role in cybersecurity.
🧮 Computational Theory
Mathematical foundations and theoretical limits of computation:
🤖
Automata Theory
Abstract machines and computation models
⏱️
Complexity Classes
P, NP, and computational difficulty
🎯
Computability
What problems can be solved
📊
Information Theory
Quantifying and transmitting information
Theoretical Concept
Click on a concept to explore fundamental computer science theory.
🧠 Computer Science Quiz
Question 1: What is the time complexity of binary search?
A) O(n)
B) O(log n)
C) O(n²)
D) O(1)