Data Structures and Algorithms using Java Internship Program Course Syllabus

An intensive, internship-style course spanning approximately 9 weeks, designed to build strong problem-solving and coding skills in Java. This program emphasizes hands-on learning with real-world projects and coding challenges, ideal for preparing for technical interviews and software development roles. Expect to spend 6–8 hours per week on lectures, coding exercises, and project work.

Module 1: Java Programming Fundamentals

Estimated time: 7 hours

• Java syntax and basic constructs
• Control flow statements (loops, conditionals)
• Object-Oriented Programming principles
• Exception handling in Java

Module 2: Arrays and Strings

Estimated time: 7 hours

• Static and dynamic arrays
• 2D array manipulation
• String operations and methods
• Problem-solving with arrays and strings

Module 3: Linked Lists

Estimated time: 7 hours

• Singly and doubly linked lists
• Insertion and deletion operations
• Reversal of linked lists
• Implementation of custom linked list classes

Module 4: Stacks and Queues

Estimated time: 7 hours

• Stack operations and LIFO principle
• Queue types and FIFO implementation
• Circular queues
• Solving problems using stacks and queues

Module 5: Trees and Recursion

Estimated time: 14 hours

• Binary trees and binary search trees (BST)
• Tree traversal techniques (inorder, preorder, postorder)
• Recursion strategies and base cases
• Problem-solving using recursion on trees

Module 6: Graphs and Greedy Algorithms

Estimated time: 14 hours

• Graph representation (adjacency list, matrix)
• Breadth-First Search (BFS) and Depth-First Search (DFS)
• Greedy algorithm principles
• Applications in shortest path and optimization

Module 7: Dynamic Programming and Backtracking

Estimated time: 14 hours

• Memoization and tabulation techniques
• Solving the Longest Increasing Subsequence (LIS)
• Longest Common Subsequence (LCS) and coin change problems
• Backtracking for subset and permutation problems

Module 8: Internship Project & Evaluation

Estimated time: 7 hours

• Design and implement a real-world algorithmic solution
• Apply data structures and algorithms in a project context
• Receive feedback and evaluation from mentors

Prerequisites

• Familiarity with basic Java syntax and programming concepts
• Understanding of control structures (if, for, while)
• Basic knowledge of Object-Oriented Programming

What You'll Be Able to Do After

• Implement core data structures in Java from scratch
• Solve coding interview problems efficiently
• Apply recursion, dynamic programming, and greedy techniques
• Traverse and manipulate trees and graphs
• Demonstrate problem-solving skills through a real project