Course Overview:

This course helps students build a strong foundation in problem-solving and algorithm design using the C#.NET programming language. It is designed for students, developers, and job aspirants who want to understand how data is stored, processed, and optimized using C#. This course covers both linear and non-linear data structures and essential algorithmic techniques with real-time examples.

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#.NET

Course Fee:
  • Online Mode: 3999/- only
  • Offline Mode: 4999/- only
Includes:
  • Live or recorded video sessions
  • Class notes and concept-based worksheets
  • All DSA implementations using C#
  • Mini project using DSA and file operations
  • Interview questions with model answers
  • Telegram/WhatsApp group for doubt clearance
Instructor Video :
About the Course:

This course focuses on implementing and understanding the internal working of data structures such as arrays, stacks, queues, linked lists, trees, and graphs using C#. You will also learn how to write optimized and testable code using recursion, dynamic programming, and greedy algorithms.

Job Roles After Learning C#.NET DSA:
  • NET Developer with strong logic skills
  • Software Engineer for Windows/Desktop apps
  • Backend developer (C# + SQL Server)
  • Placement-ready college fresher
  • Internship roles in Microsoft tech stack-based companies
Importance of DSA in Career:
  • Common in coding rounds of tech interviews
  • Makes you confident in competitive programming
  • Forms the base for ASP.NET and enterprise development
  • Improves understanding of memory, performance, and logic
  • Builds strong foundations for C# full stack or game development

Course Content

Module 1: Introduction to C# and DSA
  • Quick recap of C# basics: classes, methods, arrays, strings
  • What is a Data Structure and types
  • Time and space complexity analysis
  • Big O, Omega, and Theta notations
  • Dry-run practice and memory diagrams
  • Single and multi-dimensional arrays
  • Insertion, deletion, traversal
  • Linear and Binary Search
  • Mini Program: Student Marks Manager using array
  • Comparison of array vs List in C#
  • Bubble sort, Selection sort, Insertion sort
  • Merge sort and Quick sort with step-by-step trace
  • Sorting list of objects using IComparer and IComparable
  • Mini Project: Employee sorting system (by name/salary)
  • String handling in C#
  • Reversing, palindrome, anagram, character frequency
  • Use of StringBuilder and Regex
  • Mini Program: Password validation logic
  • Recursive functions and dry-run
  • Factorial, Fibonacci, power of a number
  • Backtracking introduction
  • Mini Task: Recursive directory tree reader
  • Stack using array
  • Stack using Generic Stack<T>
  • Applications: Expression evaluation, Parentheses checker
  • Infix to Postfix conversion
  • Mini Project: Undo/Redo feature

 

  • Queue using array
  • Queue using Generic Queue<T>
  • Circular Queue, Double-Ended Queue (Deque)
  • Priority Queue logic with SortedList
  • Mini Program: Ticketing system using queue
  • Singly Linked List: create, insert, delete
  • Doubly Linked List and traversal
  • Circular Linked List basics
  • Linked List using classes and objects
  • Mini Project: Song playlist manager using linked list
  • Binary Tree: create and traverse
  • Inorder, Preorder, Postorder
  • Binary Search Tree (BST): insert, delete, search
  • Height, leaf count, mirror tree
  • Mini Task: File explorer simulation using tree

 

  • Graph representation using adjacency list
  • DFS and BFS
  • Cycle detection, shortest path
  • Mini Project: Route map traversal in a city
  • Graph implementation using Dictionary and List
  • Introduction to Hash functions
  • C# Dictionary<TKey, TValue> and HashSet<T>
  • Collision handling in HashTable
  • Mini Program: Student login with Dictionary-based authentication

 

  • Activity selection problem
  • Coin change (minimum coins)
  • Fractional knapsack
  • Job sequencing
  • Real-time dry-run for greedy logic
  • Memoization vs Tabulation
  • Fibonacci using DP
  • 0/1 Knapsack, Longest Common Subsequence
  • Optimal Game Strategy
  • Mini Project: DP-based travel optimization
  • Project Title: Student Record System
  • Operations: Add, Edit, Delete, Search, Sort
  • Uses: Arrays, Linked List, Stack, Queue
  • Storage: Save data using FileStream or Serialization
  • Output: Display sorted results using sorting algorithms
  • Console or Windows Forms-based menu
Top 10 Interview Questions
  1. What is the difference between array and List in C#?
  2. Explain stack and queue with real-time examples.
  3. How does recursion differ from iteration?
  4. What are the advantages of Binary Search Tree?
  5. How is Dictionary different from List?
  6. What is Big O notation and why is it important?
  7. What is the difference between BFS and DFS?
  8. How do you sort a list of objects in C#?
  9. What is dynamic programming? Give one use case.
  10. How does hashing work in Dictionary?
Why Join Techidz for C# DSA?
  • Live coding with clear step-by-step dry-runs
  • Practical implementation with .NET Collections
  • Menu-based programs and mini project
  • Regular coding tests and interview questions
  • Support group for discussions and doubt-solving
  • Ideal for beginners and intermediate C# learners
New & Special Features in Techidz C#.NET DSA Course
  • 100+ fully coded programs
  • C# Generic collections + DSA implementation
  • Mini project using file handling
  • Resume-ready DSA knowledge with practice tasks
  • Worksheets, quizzes, and lifetime access to notes and videos
  • Interview-focused problem-solving sessions
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