Session 1: Introduction to Data Structures

• Welcome and Overview
• Introduction to the workshop objectives and schedule
• Brief discussion on the importance of data structures in computer science
• Basic Concepts
• Definitions and purposes of data structures
• Types of data structures (linear vs. non-linear)
• Arrays and Lists
• Introduction to arrays and lists
• Use cases and examples
• Basic operations: insertion, deletion, traversal

Session 2: Advanced List Operations and Strings

• Advanced List Operations
• Sorting and searching algorithms (e.g., binary search)
• Slicing, list comprehensions
• Strings as Data Structures
• String manipulation techniques
• Use of strings in programming (substring search, concatenation)

Session 3: Stacks and Queues

• Stacks
• Definition, properties, and applications
• Implementation using lists
• Common operations: push, pop, peek
• Queues
• Definition, properties, and applications
• Implementation using lists or collections.deque
• Common operations: enqueue, dequeue, front
• Practical Exercise
• Hands-on activity: Implement a stack and a queue in Python
• Students solve a problem using stack or queue

Session 4: Linked Lists

• Singly Linked Lists
• Definition and structure
• Node class implementation
• Basic operations: insertion, deletion, traversal
• Doubly Linked Lists
• Differences from singly linked lists
• Implementation and basic operations

Session 5: Trees and Graphs

• Trees
• Introduction to tree structures
• Binary trees: properties and traversals (in-order, pre-order, post-order)
• Binary search trees (BST): insertion, search, deletion
• Graphs
• Introduction to graphs, terminology (vertices, edges)
• Representation methods (adjacency matrix, adjacency list)
• Basic algorithms: Depth-First Search (DFS) and Breadth-First Search (BFS)

Session 6: Advanced Data Structures and Wrap-Up

• Hash Tables
• Concept of hashing
• Implementation of hash tables
• Collision resolution techniques
• Heaps and Priority Queues
• Definition and properties of heaps
• Implementation of min-heaps and max-heaps
• Use cases of priority queues
• Wrap-Up and Q&A
• Review key concepts covered
• Address any questions or difficulties
• Provide additional resources for further learning