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Mastering Data Structures & Algorithms
Course Description
This course is designed to help learners build a strong foundation in Data Structures and Algorithms using C and C++. It blends theoretical understanding with practical coding, debugging, and project work to help students gain confidence and readiness for real-world challenges.
Course Outcome :
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Understand core data structures and algorithms with hands-on implementation in C and C++
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Learn recursion, memory management, and dynamic programming concepts.
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Master advanced topics like trees, heaps, graphs, and hashing.
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Build efficient programs and prepare for technical interviews
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Implement end-to-end coding projects demonstrating DSA proficiency
Course Curriculum
This course is designed to help learners build a strong foundation in Data Structures and Algorithms using C and C++. It blends theoretical understanding with practical coding, debugging, and project work to help students gain confidence and readiness for real-world challenges.
- Arrays, Structures, and Pointers
- References and Functions in C++
- Parameter passing methods and structure functions
- Converting procedural C programs into object-oriented C++ classes
- Installing and configuring Code::Blocks, Dev-C++, and Visual Studio
- Online compilers and IDE shortcuts
- Command shortcuts and piping (|, >, grep, sort)
- Debugging and compiling effectively
- Stack vs Heap memory
- Physical vs Logical data structures
- Abstract Data Types (ADT)
- Time and Space Complexity fundamentals
- Static and global variables in recursion
- Head, tail, and tree recursion
- Indirect and nested recursion
- Fibonacci, factorial, and tower of Hanoi problems
- Static and dynamic arrays
- 1D, 2D, and nD array formulas (row-major and column-major)
- String operations and validation
- Matrix representations (Diagonal, Triangular, Symmetric)
- Array creation, insertion, and deletion
- Linear and binary search implementation
- Merging, sorting, and manipulating arrays
- Mini Project: Student Marks Analysis System
- Single, double, and circular linked lists
- Recursive display and reversal
- Merging and concatenation of lists
- Polynomial representation using linked lists
- Stack operations using arrays and linked lists
- Parenthesis matching and infix–postfix conversion
- Queue implementation (linear, circular, DEQueue)
- Project: Expression Evaluator using Stack and Queue
- Tree terminology and representation
- Binary tree traversal methods
- Creation, insertion, and deletion in BST
- Height and node relationship analysis
- AVL trees and rotations
- 2-3 and 2-3-4 Trees
- Red-Black Tree creation and balancing
- Heap trees and heap sort algorithm
- Bubble, insertion, and selection sort
- Quick sort, merge sort, and shell sort
- Count, radix, and bucket sorting
- Comparative analysis of sorting algorithms
- Directed and undirected graphs
- BFS and DFS algorithms
- Minimum Spanning Trees (Prim’s and Kruskal’s)
- Hashing concepts, collision handling (chaining, probing)
- Big O, Omega, and Theta notations
- Time complexity of common algorithms
- Project: Mini DSA Library in C++
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