Foundation Training in
Data Structure
This course offers an in-depth study of fundamental and advanced data structures using Java, focusing on implementation, efficiency, and problem-solving. Students will gain the skills to choose and apply appropriate data structures in real-world scenarios.
Program Features
- Max Students: 10
- Duration: 1 Month
- Practical Training
- Certificate after Completion
- Vocational Training Program
- Investment: 10,000.00
Course Description
Course Objectives
The Data Structures course aims to provide a comprehensive understanding of fundamental and advanced data structures, including arrays, linked lists, stacks, queues, trees, graphs, and hash tables. Students will learn to implement these structures using Java, analyze and compare the efficiency of algorithms, and apply data structures to solve complex problems. The course emphasizes developing problem-solving skills, enhancing programming proficiency, and preparing for advanced topics in computer science. By the end of the course, students will be adept at choosing and implementing appropriate data structures, understanding their performance implications and applying them effectively in real-world scenarios.
Curriculum
- Importance of Data Structures in programming
- Overview of different types of data structures (Linear & Non-linear)
- Abstract Data Types (ADT)
- Course Overview and Objectives
- Introduction to arrays
- Array operations (insertion, deletion, traversal)
- Multi-dimensional arrays
- Applications of arrays
- Introduction to linked lists
- Types of linked lists (Singly, Doubly, Circular)
- Singly Linked List implementation and operations
- Doubly Linked List implementation and operations
- Circular Linked List implementation and operations
- Applications of linked lists
- Introduction to stacks
- Stack operations (Push, Pop, Peek)
- Stack implementation using arrays and linked lists
- Applications of stacks (e.g., expression evaluation)
- Introduction to queues
- Queue operations (Enqueue, Dequeue, Peek)
- Types of queues (Simple, Circular, Priority, Deque)
- Implementation using arrays and linked lists
- Applications of queues (e.g., BFS, job scheduling)
- Understanding recursion and its applications
- Recursive functions
- Recursion vs. Iteration
- Solving problems using recursion
- Introduction to trees
- Binary Trees: Structure and properties
- Binary Tree operations (insertion, deletion, traversal)
- Tree traversals (In-order, Pre-order, Post-order)
- Binary Search Trees (BST): Introduction and operations
- Balanced Trees: AVL Trees (Introduction and Rotations)
- Applications of trees in real-world problems
- Introduction to Heaps
- Types of Heaps (Min-Heap, Max-Heap)
- Heap operations (insertion, deletion)
- Heap Sort algorithm
- Applications of Heaps
- Introduction to Hashing
- Hash functions and collision resolution techniques
- Chaining and open addressing
- Applications of hashing (e.g., hash tables, hash maps)
- Introduction to Graphs (Directed, Undirected)
- Graph representations (Adjacency Matrix, Adjacency List)
- Graph traversal algorithms (DFS, BFS)
- Implementation and applications of graphs
- Shortest path algorithms (Dijkstra’s, Bellman-Ford)
- Minimum Spanning Tree (Prim’s, Kruskal’s)
- Topological sorting
- Real-world applications of graphs
- Linear Search
- Binary Search
- Interpolation Search
- Understanding time complexity of searching algorithms
- Introduction to sorting algorithms
- Bubble Sort, Selection Sort, Insertion Sort
- Implementation and time complexity analysis
- Advanced sorting algorithms: Merge Sort, Quick Sort
- Heap Sort revisited
- Understanding and comparing different sorting algorithms
- Red-Black Trees
- B-Trees and B+ Trees
- Applications of advanced trees in databases
- Introduction to dynamic programming
- Memoization vs. Tabulation
- Solving classical problems using dynamic programming (e.g., Fibonacci, Knapsack)
- Trie Data Structure: Introduction and applications
- Segment Trees: Introduction and applications
- Disjoint Set Union-Find
- Review of all topics covered
- Problem-solving session
- Final assessment/project presentation
Intended outcomes
Upon completing the Data Structures course, students will have the skills to design, implement, and apply fundamental and advanced data structures such as arrays, linked lists, stacks, queues, trees, and graphs using Java. They will be proficient in analyzing algorithm efficiency, selecting appropriate data structures for problem-solving, and developing key algorithms for sorting and searching. The course will enhance their programming and problem-solving abilities, prepare them for advanced topics in computer science, and improve their debugging and testing skills, equipping them to handle complex challenges in software development effectively.
Tuition & Investment
| Enrollment Amount | Registration Amount | No. of Installments |
|---|---|---|
| Rs. 500.00 | Rs. 9500.00 | -- |
| Total Amount | Rs. 10000.00 | |