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Data Structure Algorithm Module
- ☑ Data Structures Basics: Structure And Problem Solving, Data Structures, Data structure Operations, Algorithm: Complexity, Time- Space Tradeoff.
- ☑ Linked List: Introduction, Linked Lists, Representation Of Linked Lists In Memory, Traversing A Linked List, Searching A Linked List, Memory Allocation And Garbage Collection, Insertion Into Linked List, Deletion From A Linked List, Types Of Linked List.
- ☑ Stack and Queue: Introduction, Array Representation Of Stack, Linked List Representation Of stack, Application Of Stack, Queue, Array Representation Of Queue, Linked List Representation Of Queue.
- ☑ Trees: Definitions And Concepts, Operations On Binary Trees, Representation Of Binary Tree, Conversion Of General Trees To Binary Trees, Sequential And Other Representations Of Trees, Tree Traversal.
- ☑ Graphs: Matrix Representation Of Graphs, List Structures, Other Representations Of Graphs, Breadth First Search, Depth First Search, Spanning Trees
- ☑ Directed Graphs Types Of Directed Graphs; Binary Relation As A Digraph; Euler’s Digraphs; Matrix Representation Of Digraphs.
- ☑ Applications Of Graphs: Topological Sorting, Shortest-Path Algorithms – Weighted Shortest Paths – Dijkstra’s Algorithm, Minimum spanning tree- Prim’s Algorithm, Introduction To NP-Completeness.
- ☑ Searching and Sorting Techniques, Sorting Techniques: Bubble sort, Merge sort, Selection sort’, Heap sort, Insertion Sort. Searching Techniques: Sequential Searching, Binary Searching, Search Trees.