Complete Java + DSA Bootcamp Syllabus
- All topics will contain problems from LeetCode Easy to Hard, explained in an easy-to-understand manner.
- Complete custom implementation of all Data Structures and Algorithms.
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- Introduction
- Flow of recursive programs - stacks
- Why recursion?
- Tree building of function calls
- Tail recursion
- Sorting:
- Backtracking
- Sudoku Solver
- N-Queens
- N-Knights
- Maze problems
- Recursion String Problems
- Recursion Array Problems
- Recursion Pattern Problems
- Subset Questions
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Space and Time Complexity Analysis
- Introduction
- Comparisons of various cases
- Solving Linear Recurrence Relations
- Solving Divide and Conquer Recurrence Relations
- Big-O, Big-Omega, Big-Theta Notations
- Little Notations
- Get equation of any relation easily - best and easiest approach
- Complexity discussion of all the problems we do
- Space Complexity
- Memory Allocation of various languages
- NP-Completeness Introduction
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Object Oriented Programming
- Introduction
- Classes & its instances
- this keyword in Java
- Properties
- Inheritance
- Abstraction
- Polymorphism
- Encapsulation
- Overloading & Overriding
- Static & Non-Static
- Access Control
- Interfaces
- Abstract Classes
- Singleton Class
- final, finalize, finally
- Object Class
- Generics
- Exception Handling
- Collections Framework
- Lambda Expression
- Enums
- Fast IO
- File handling
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Greedy Algorithms
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Stacks & Queues
- Introduction
- Interview problems
- Push efficient
- Pop efficient
- Queue using Stack and Vice versa
- Circular Queue
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Linked List
- Introduction
- Fast and slow pointer
- Cycle Detection
- Single and Doubly LinkedList
- Reversal of LinkedList
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Dynamic Programming
- Introduction
- Recursion + Recursion DP + Iteration + Iteration Space Optimization
- Complexity Analysis
- 0/1 Knapsack
- Subset Questions
- Unbounded Knapsack
- Subsequence questions
- String DP
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Trees
- Introduction
- Binary Trees
- Binary Search Trees
- DFS
- BFS
- AVL Trees
- Segment Tree
- Fenwick Tree / Binary Indexed Tree
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Square Root Decomposition
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Heaps
- Introduction
- Theory
- Priority Queue
- Heapsort
- Two Heaps Method
- k-way merge
- Top k-elements
- Interval problems
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HashMap
- Introduction
- Theory - how it works
- Comparisons of various forms
- Limitations and how to solve
- Map using LinkedList
- Map using Hash
- Count Sort
- Radix Sort
- Chaining
- Probing
- Huffman-Encoder
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Subarray Questions: Sliding window, Two Pointer, Kadane's Algorithm
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Tries
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Graphs
- Introduction
- BFS
- DFS
- Working with graph components
- Minimum Spanning Trees
- Kruskal Algorithm
- Prims Algorithm
- Dijkstra’s shortest path Algorithm
- Topological Sort
- Bellman ford
- A* pathfinding Algorithm
- Bitwise + DP
- Extended Euclidean algorithm
- Modulo Multiplicative Inverse
- Linear Diophantine Equations
- Matrix Exponentiation
- Mathematical Expectation
- Fermat’s Theorem
- Wilson's Theorem
- Lucas Theorem
- Chinese Remainder Theorem
- NP-Completeness