Data Structures & Algorithms Basics in 3 Minutes | Big-O, ADT, Complexity & Strategies | CSE-Basics
на канале: Computer Science Basics
Welcome to Computer Science Basics 💻
In this quick 3-minute 45-second introduction to Data Structures and Algorithms, we cover the essential concepts you need to build a strong foundation in Computer Science.
📚 In this video, you'll learn:
🔹 *Data Structures*
• Abstract Data Types (ADT)
• Linear vs Non-linear Data Structures
• Static vs Dynamic Data Structures
• Persistent vs Ephemeral Data Structures
🔹 Algorithm Analysis
• Time Complexity
• Space Complexity
• Asymptotic Notation
• Big-O, Big-Theta (Θ) & Big-Omega (Ω)
• Finding complexity using the Step Count Method
• Linear, Quadratic, Cubic & Logarithmic complexity
🔹 Algorithmic Strategies
• Divide and Conquer
• Greedy Strategy
🔹 Real-World Case Studies
• 🛒 E-commerce Product Sorting using Divide and Conquer
• 📅 Google Calendar scheduling using a Greedy Strategy
This video is designed for beginners, engineering students, CS students, and anyone preparing for programming or technical interviews.
🎯 Goal: Understand the core ideas behind Data Structures and Algorithms without unnecessary complexity.
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Welcome to Computer Science Basics — Learn. Understand. Build.
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