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SYLLABUS.md

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# Complete Java + DSA Bootcamp Syllabus
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## NOTE:
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- All topics will contain problems from LeetCode Easy to Hard, explained in an easy to understand manner.
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- All topics will contain problems from LeetCode Easy to Hard, explained in an easy-to-understand manner.
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- Complete Custom Implementation of all Data Structures and Algorithms.
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## Lectures
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- Modulo Properties
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- Modulo Multiplicative Inverse
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- Linear Diophantine Equations
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- Fremat's Theorem
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- Fermat’s Theorem
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- Wilson's Theorem
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- Lucas Theorem
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- Chinese Remainder Theorem
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- (more content in OOP such as overloading etc)
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- Space and Time Complexity Analysis
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- Introduction
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- Comparion of various cases
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- Comparisons of various cases
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- Solving Linear Recurrence Relations
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- Solving Divide and Conquer Recurrence Relations
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- Big-O, Big-Omega, Big-Theta Notations
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- Fast and slow pointer
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- Cycle Detection
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- Single and Doubly LinkedList
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- Reversalof LinekdList
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- Reversal of LinkedList
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- Dynamic Programming
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- Introduction
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- Recursion + Recursion DP + Iteration + Iteration Space Optimized
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- Complexity Analysis
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- 0/1 Knapsack
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- Subset Questions
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- Unbounded Knapsack
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- Subseq questions
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- Subsequence questions
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- String DP
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- Trees
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- Introduction
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- k-way merge
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- top k elements
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- interval problems
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- Hashmaps
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- HashMap
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- Introduction
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- Theory - how it works
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- Comparisons of various forms
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- Dijkstra’s shortest path algorithm
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- Topological Sort
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- Bellman ford
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- A* pathfinding Algorithm
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- A* pathfinding Algorithm

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