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DSA with C and C++ Course | Master Data Structures and Algorithms

Looking to build a strong foundation in programming? Enroll in our DSA with C and C++ Course and master Data Structures and Algorithms from basic to advanced level. This course is ideal for students, beginners, competitive programmers, and job seekers preparing for technical interviews. Our course covers all core DSA concepts including arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, recursion, dynamic programming, and more — using C and C++, the most trusted languages for performance-based coding.

Course

4.9 (8084)

Learners

8817

Corporate Expert Trainer

Exp. 15+Yrs.

Upskill with

Internship

What’s included in this Course

3 months duration hands-on practice

Live project training

Interview Preparations

150+ Assignments

Online & Offline Training

500+ Questions for Exercise

Schedule Your Free Trial Class

  8130903525      8130805525

DSA with C and C++ Certification

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The DSA with C and C++ Certification Course by S&H HighTech Solutions is designed to provide in-depth training in Data Structures and Algorithms (DSA) using the powerful programming languages C and C++. This course is ideal for students, software developers, coding enthusiasts, and job seekers looking to build a strong foundation in programming and problem-solving for competitive coding and technical interviews.

The course begins with an introduction to C and C++ programming fundamentals, then moves into the core areas of DSA such as arrays, strings, linked lists, stacks, queues, trees, graphs, sorting algorithms, searching techniques, recursion, and dynamic programming. Learners will gain practical knowledge through real-world examples, live coding sessions, and hands-on exercises.

Course Content Details

  • Introduction to Data Structures and Algorithms
  • Importance of DSA in Problem Solving & Interviews
  • Time and Space Complexity (Big-O, Big-Ω, Big-Θ)
  • How to Analyze Algorithms
  • Basics of Programming in C and C++
  • Input/Output Handling
  • Variables, Data Types, Operators, Loops, and Conditional Statements
  • Functions and Recursion (Call Stack, Tail Recursion)
  • Header Files, Preprocessors, and Compilers

  • Introduction to Pointers in C and C++
  • Pointer Arithmetic
  • Dynamic Memory Allocation (malloc, calloc, realloc, free)
  • Dangling Pointers, Memory Leaks
  • Pointers and Arrays
  • Pointers to Functions and Structures
  • Smart Pointers in C++ (unique_ptr, shared_ptr)

  • 1D, 2D, and Multi-dimensional Arrays
  • Array Operations: Insertion, Deletion, Searching, Traversing
  • Sorting Algorithms:
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Counting Sort
    • Radix Sort
    • Heap Sort
  • Searching Algorithms:
    • Linear Search
    • Binary Search (Recursive and Iterative)
  • Strings:
    • Declaration and Manipulation
    • String Functions in C and C++
    • String Pattern Matching Algorithms (KMP, Rabin-Karp, Z-algorithm)

  • Singly Linked List
  • Doubly Linked List
  • Circular Linked List
  • Operations: Creation, Insertion, Deletion, Traversal, Reversal
  • Detecting and Removing Cycles (Floyd's Algorithm)
  • Intersection Point of Linked Lists
  • Merge Two Sorted Linked Lists
  • Copy a Linked List with Random Pointers

  • Stack Implementation (Array and Linked List)
  • Stack Applications:
    • Expression Evaluation (Infix, Prefix, Postfix)
    • Balanced Parentheses
    • Next Greater Element
  • Queue Implementation (Array, Linked List)
  • Types of Queues:
    • Circular Queue
    • Deque (Double-Ended Queue)
    • Priority Queue
  • Queue Applications:
    • Sliding Window Maximum
    • LRU Cache

  • Basics of Recursion
  • Tail vs. Non-Tail Recursion
  • Backtracking Concepts
  • Applications:
    • N-Queens Problem
    • Sudoku Solver
    • Subset Generation
    • Permutations
    • Rat in a Maze

  • Tree Terminology and Representations
  • Binary Tree and Binary Search Tree (BST)
  • Tree Traversals:
    • Inorder, Preorder, Postorder (Recursive and Iterative)
    • Level Order (BFS using Queue)
  • Binary Tree Operations (Insert, Delete, Search)
  • Height, Diameter, Leaf Count, Balanced Tree
  • Mirror Tree, LCA (Lowest Common Ancestor)
  • AVL Trees, Red-Black Trees (Concepts and Rotations)
  • Segment Trees and Fenwick Trees (Binary Indexed Tree)

  • Heap (Min-Heap, Max-Heap) and Heap Operations
  • Heapify and Build Heap
  • Heap Sort
  • Priority Queue using STL
  • Hashing Concepts:
    • Hash Functions and Collision Resolution
    • Open Addressing, Chaining
    • Hash Tables in C++ (unordered_map, map, set)
  • Applications of Hashing:
    • Frequency Count
    • Subarray with Zero Sum
    • Anagram Grouping

  • Graph Representations (Adjacency Matrix and List)
  • BFS and DFS (Iterative and Recursive)
  • Topological Sorting
  • Connected Components
  • Detecting Cycles (Directed and Undirected Graphs)
  • Dijkstra’s Algorithm
  • Bellman-Ford Algorithm
  • Floyd-Warshall Algorithm
  • Minimum Spanning Tree:
    • Kruskal’s Algorithm
    • Prim’s Algorithm
  • Disjoint Set Union (Union by Rank, Path Compression)

  • Introduction to DP and Memoization
  • Recursion vs Memoization vs Tabulation
  • 1D, 2D DP Concepts
  • Classic DP Problems:
    • Fibonacci Series
    • 0/1 Knapsack
    • Coin Change
    • Longest Common Subsequence (LCS)
    • Longest Increasing Subsequence (LIS)
    • Matrix Chain Multiplication
    • Palindromic Substrings
    • Edit Distance

  • Activity Selection Problem
  • Fractional Knapsack
  • Huffman Encoding
  • Minimum Number of Platforms
  • Job Sequencing with Deadlines
  • Interval Scheduling

  • Bitwise Operators and Masks
  • Odd/Even using Bitwise
  • Counting Set Bits
  • Power of Two
  • XOR Trick
  • Subset Generation using Bits

  • Fixed and Variable Size Sliding Windows
  • Maximum Sum Subarray
  • Longest Substring with K Unique Characters
  • Minimum Window Substring
  • Two Pointer Techniques on Arrays and Strings

  • Trie Implementation in C++
  • Insert, Search, Delete Words
  • Auto-complete System
  • Trie with Map
  • Suffix Trees and Arrays (Intro Only)
  • Disjoint Set (Union-Find)
  • Segment Trees (with Lazy Propagation)

  • Introduction to STL
  • Vector, List, Deque, Stack, Queue
  • Set, Map, Multiset, Unordered Maps
  • Algorithms Library: sort, lower_bound, upper_bound, etc.
  • OOP in C++:
    • Classes and Objects
    • Constructors and Destructors
    • Inheritance, Polymorphism, Encapsulation
    • Operator Overloading
    • Function Overloading and Overriding
    • Templates (Function and Class Templates)

  • Building mini DSA Projects:
    • Contact Manager using Trie
    • Mini Search Engine
    • Task Scheduler using Queue/Heap
  • Live Coding Practice:
    • 200+ DSA Problems from LeetCode, HackerRank, GFG
    • Interview-style problem-solving
    • Weekly mock coding rounds

  • Resume Tips for DSA-based Profiles
  • HR and Technical Interview Questions
  • Problem-Solving Strategies
  • Whiteboard Coding Round Preparation
  • Top 50 Coding Questions for FAANG & Product Companies

At HighTech Solutions Best IT Company & Training Institute, our Placement Assistance Program ensures that our students get placed in top IT companies with attractive salary packages.

Our Alumni Work In-

Entry-Level

0-2 years

💰 ₹3-6 LPA

Mid-Level

2-5 years

💰 ₹6-12 LPA

Senior-Level1

5-10 years

💰 ₹12-18 LPA

Senior-Level2

10-20 years

💰 ₹18-24 LPA

Management-Level

20+ years

💰 ₹25+ LPA

International

Global Opportunities

💰 $80K - $150K per year

Internship Programs

Paid/Unpaid

💰 8k-15k/Month

Freelancing

Effort Basis

💰 Hourly Payments

HighTech Solutions, based in Delhi NCR, offers a variety of IT courses designed to enhance the skills of both beginners and seasoned professionals. While specific salary packages for IT professionals associated with HighTech Solutions are not publicly disclosed, copmleting their industry-recognized training programs can significantly boost your earning potential in the IT sector.

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