Jack Sparrow
Master the art of problem-solving with Recursion and Backtracking techniques in this comprehensive course by Love Babbar. Gain in-depth knowledge, solve curated problems, and learn dynamic programming. Perfect for software engineering and beyond.
Recursion and Backtracking techniques are important problem solving approaches that have several applications in fields like, software engineering, investment banking, R&D, etc. For the people who experience difficulty understanding Recursion and Backtracking, we bring to you a Master Course on Recursion and Backtracking by Love Babbar. Through this, you will gain an in-depth knowledge of concepts and implementations of Recursion and Backtracking techniques through solving a curated set of problems of assorted difficulty levels.
Validity of the Course: 1 Year
Programming Language used: C++
Assignments Provided: Yes
Syllabus
1. Recursion
-Introduction to Recursion - LIVE Meeting
- Recursion on Arrays and Strings and Doubt Clearing | LIVE
- Recursion on Linked Lists - LIVE
- Recursion on Strings - LIVE
- Recursion on Trees and Doubt Clearing Meeting - LIVE
- Divide and Conquer - LIVE
- Subsequences and Doubt Clearing Meeting - LIVE
- Solving Medium Level Questions - LIVE
- Time and Space Complexity of Recursive Algorithms - LIVE
- Solving Medium Questions - Level 2 and Doubt Clearing Meeting - LIVE
- Time and Space Complexity of Recursive Algorithms [Part - 2] - LIVE
- Solving Hard Questions - Level 1 - LIVE
- Solving Hard Questions - Level 2 - LIVE
- Solving Hard Questions - Level 3 and Doubt Clearing Meeting - LIVE
2. Backtracking
- Introduction to Backtracking Technique
- Solving Classical Problems using Backtracking - Level 1
- Solving Classical Problems using Backtracking - Level 2 and Doubt Clearing Meeting
- Solving Hard Problems using Backtracking - Level 1
- Solving Hard Problems using Backtracking - Level 2
- Solving Hard Problems using Backtracking - Level 3 and Doubt Clearing Meeting
- Reward Doubt Meeting
3. Dynamic Programming - Recorded Lectures
- Dynamic Programming - I
- Dynamic Programming - II
- Dynamic Programming - III
- Dynamic Programming - IV
- Dynamic Programming - V
- Dynamic Programming - VI
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