Course Overview:
This course is designed to develop problem-solving and programming logic using C++ by understanding and implementing essential data structures and algorithms. It is ideal for students preparing for college placements, competitive programming, and technical job roles in software companies.
Way of Training:
- Mode: Online / Offline
- Duration: 45 Days
- Online Sessions: 1 Hour/Day
- Offline Sessions: 1 Hour Theory + 1 Hour Lab/Practical
Data Structures and Algorithms Using C++
Course Fee:
- Online Mode: 3999/- only
- Offline Mode: 4999/- only
Includes:
- Live or recorded video sessions
- Concept-based class notes and handouts
- Complete code files with dry-run
- Mini project based on data structures
- Interview Q&A with model answers
- Telegram/WhatsApp group support
Instructor Video :
About the Course:
This course teaches students how to efficiently store, access, and manage data using structures like arrays, stacks, queues, linked lists, trees, and graphs in C++. It also covers algorithm design using recursion, greedy, and dynamic programming along with complexity analysis.
Job Roles After Learning DSA in C++:
- C++ Software Developer
- Competitive Programmer (Codeforces, LeetCode, GFG)
- Backend System Developer
- Placement-Ready Engineering Graduate
- Internships in product-based companies
Importance of DSA in Career:
- Required for all software developer roles
- Helps in acing coding interviews and written tests
- Prepares for competitive coding and GATE
- Foundation for learning system design, OS, and DBMS
- Boosts logical and analytical thinking
Course Content
Module 1: Recap of C++ and Introduction to DSA
- Revision of OOP, functions, arrays, and pointers
- What is a data structure and its importance
- Types of data structures: linear and non-linear
- Introduction to algorithm analysis
- Time and space complexity
- Big O, Omega, Theta with practical dry-run
Module 2: Arrays and Searching Techniques
- 1D and 2D arrays in C++
- Insertion, deletion, and traversal of arrays
- Linear search vs Binary search
- Time complexity comparison
- Mini program: Menu-based array operations
Module 3: Sorting Algorithms
- Bubble sort, Selection sort, Insertion sort
- Merge sort and Quick sort with dry-run
- Comparison of sorting complexities
- Real-life application: Sorting student marks
- Mini task: Sort structure data using comparator
Module 4: Strings in C++
- String declaration using char array and string class
- Palindrome check, word count, reverse string
- Use of string functions in STL
- Custom string manipulation programs
- Mini task: Character frequency using maps
Module 5: Recursion
- Understanding recursion and stack behavior
- Tail and non-tail recursion
- Factorial, Fibonacci, sum of digits
- Tower of Hanoi and permutations
- Dry-run recursion calls and time complexity
Module 6: Stack (Array and STL)
- Concept of LIFO and stack usage
- Stack using array and STL stack
- Operations: push, pop, peek, isEmpty
- Balanced parentheses, infix to postfix conversion
- Postfix expression evaluation using stack
Module 7: Queue and Variants
- Concept of FIFO and real-time use
- Queue using array and STL queue
- Circular queue, deque (double-ended queue)
- Priority queue using STL
- Mini task: Print queue using linked list
Module 8: Linked Lists
- Singly linked list: creation, insertion, deletion
- Doubly linked list: forward and backward traversal
- Circular linked list
- Operations with structure and class
- Mini project: Linked list student record manager
Module 9: Trees
- Binary Tree basics and traversal (inorder, preorder, postorder)
- Binary Search Tree operations (insert, delete, search)
- Height, leaf nodes, mirror tree
- Application: Expression tree creation and evaluation
- Mini task: Level-wise printing of tree
Module 10: Graphs
- Graph representation using adjacency matrix and list
- DFS and BFS traversal
- Shortest path using Dijkstra (basic)
- Topological sorting, cycle detection
- Use case: Social network graph modeling
Module 11: Hashing
- Hash table and hash function
- Collision resolution techniques
- Linear and quadratic probing
- Chaining using linked list
- Use case: Building a phonebook application
Module 12: Greedy Algorithms
- Activity selection
- Minimum number of coins
- Fractional knapsack
- Job scheduling problem
- Dry-run of greedy decision making
Module 13: Dynamic Programming
- Memoization vs tabulation
- Fibonacci using DP
- 0/1 Knapsack problem
- Longest Common Subsequence (LCS)
- Matrix Chain Multiplication
- Mini project: Path optimization problem
Module 14: Project on DSA Using C++
- Project Title: Student Result Management System
- Use of arrays, linked list, and file handling
- Add, edit, delete, and sort student records
- Searching by roll number and name
- Sorting based on marks
- File storage for persistent records
Top 10 Interview Questions
- What is the difference between stack and queue?
- How is memory managed in linked list vs array?
- What is the difference between BFS and DFS?
- How do you choose a sorting algorithm for a problem?
- What are the applications of greedy algorithms?
- When to prefer dynamic programming over recursion?
- What is a hash table and how are collisions handled?
- What are tree traversals and their applications?
- What is backtracking and how is it used?
- Explain time complexity of merge sort and quick sort
Why Join Techidz for DSA in C++?
- Complete hands-on explanation with dry-runs
- Focus on solving placement and interview questions
- Live tracing of recursion, sorting, and tree traversals
- Structured programs using C++ STL
- File-based mini project and use case-based tasks
- Class notes, video access, and doubt clearing support
New & Special Features in Techidz DSA C++ Course
- 100+ programs with code + output
- DSA with STL: vector, map, set
- Mini project with real-time data handling
- Interview-focused sessions every week
- Practice worksheets with quizzes
- Lifetime access to class notes and recordings
