Master Data Structures and Algorithms with C++ (6-Week Intensive)
Course Duration: 6 Weeks
Mentorship: Industry experts with extensive experience in competitive programming and software development will guide you throughout the course.
Mode of Learning: Online, Self-paced + Weekly Live Sessions
Week 1: Introduction to C++ and Fundamental Data Structures
- Introduction to C++:
- C++ Basics: Syntax, variables, data types, and operators.
- Functions and Control Structures (if, loops, switch).
- Introduction to Object-Oriented Programming (OOP) concepts in C++.
- Fundamental Data Structures:
- Arrays: Declaration, initialization, and basic operations.
- Linked Lists: Singly and doubly linked lists, insertion, deletion, and traversal.
- Project 1: Basic Array Operations
- Implement a program that performs common array operations (insert, delete, traverse, reverse, etc.)
Outcome: Familiarity with C++ syntax and basic data structures like arrays and linked lists.
Week 2: Stacks, Queues, and Recursion
-
Stacks:
- Stack operations: Push, pop, peek, and isEmpty.
- Applications of stacks (e.g., reversing a string, expression evaluation).
-
Queues:
- Queue operations: Enqueue, dequeue, front, rear.
- Circular Queues and their applications.
-
Recursion:
- Understanding recursion: Base case and recursive case.
- Factorial, Fibonacci series, Tower of Hanoi.
-
Project 2: Expression Evaluation using Stack
- Implement an algorithm to evaluate arithmetic expressions using stacks.
Outcome: Mastery of stack and queue operations and recursion techniques.
Week 3: Sorting and Searching Algorithms
-
Sorting Algorithms:
- Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort.
- Time complexity and space complexity analysis of each algorithm.
-
Searching Algorithms:
- Linear Search, Binary Search.
- Optimizations and applications in real-world problems.
-
Project 3: Sorting Visualizer
- Implement a program to visualize different sorting algorithms and compare their performance.
Outcome: Deep understanding of sorting and searching algorithms, including their time complexities and use cases.
Week 4: Trees and Graphs
-
Trees:
- Binary Trees: In-order, pre-order, and post-order traversal.
- Binary Search Trees (BST): Insertion, deletion, and searching.
- AVL Trees: Self-balancing trees, rotations, and height-balancing.
-
Graphs:
- Representation of graphs (adjacency matrix, adjacency list).
- Graph Traversal: BFS (Breadth First Search) and DFS (Depth First Search).
-
Project 4: Implement Binary Search Tree
- Implement a fully functional binary search tree with operations like insertion, deletion, and traversal.
Outcome: Knowledge of tree and graph structures, including traversal techniques.
Week 5: Dynamic Programming and Greedy Algorithms
-
Dynamic Programming:
- Introduction to Dynamic Programming: Overlapping subproblems, optimal substructure.
- Solving problems using DP: Fibonacci, Knapsack, Longest Common Subsequence.
-
Greedy Algorithms:
- Understanding Greedy approach: Activity Selection, Huffman Encoding.
- Key properties of Greedy algorithms and where to apply them.
-
Project 5: Solving Knapsack Problem using DP
- Implement the 0/1 Knapsack problem using Dynamic Programming.
Outcome: Ability to solve complex problems using dynamic programming and greedy algorithms.
Week 6: Advanced Algorithms & Career Prep
- Advanced Algorithms:
- Backtracking: N-Queens Problem, Sudoku Solver.
- Divide and Conquer Algorithms: Merge Sort, Quick Sort, Binary Search.
- Career Preparation:
- Algorithmic problem-solving techniques for coding interviews.
- Portfolio Building: Showcase your completed projects and problem-solving skills.
- Interview Prep: Tips on answering coding interview questions, tackling algorithm challenges, and improving problem-solving speed.
- Project 6: Final Capstone Project
- Choose one complex problem (e.g., solving a maze, scheduling problems, or building a mini library management system).
- Implement an optimized solution using algorithms learned throughout the course.
Outcome: You will have the ability to solve advanced algorithmic problems and be prepared for technical interviews.
Major Projects:
-
Basic Array Operations (Week 1)
- Core Skills: Array manipulation, basic C++ programming.
-
Expression Evaluation using Stack (Week 2)
- Core Skills: Stack implementation, infix expression evaluation.
-
Sorting Visualizer (Week 3)
- Core Skills: Sorting algorithms, performance analysis.
-
Binary Search Tree Implementation (Week 4)
- Core Skills: Tree data structures, traversal algorithms.
-
Knapsack Problem using Dynamic Programming (Week 5)
- Core Skills: Dynamic programming, problem-solving techniques.
-
Final Capstone Project (Week 6)
- Core Skills: Advanced algorithms, interview prep, and portfolio building.
Mentorship at Eduveda Academy:
- Industry Mentor Assignment:
- Be paired with an experienced mentor from a top tech company for personalized guidance.
- 1-on-1 sessions for problem-solving reviews and career advice.
- Weekly Live Q&A Sessions:
- Get real-time support, tips, and feedback from instructors and mentors.
Final Notes:
- Weekly Live Sessions: Discuss key concepts, tackle challenging problems, and clear doubts.
- Peer Networking: Join the academy Slack group for collaborative learning, feedback, and discussions.
- Deployment: Showcase your final project and problem-solving journey on your portfolio.
This 6-week course is designed to give you a strong grasp of Data Structures and Algorithms, preparing you for technical interviews and making you job-ready in the field of software development.
