Data Structures and Algorithms course in C++. Fundamental concepts of data structures and algorithms, as well as how to implement them using the C++ programming language.
- Introduction to Data Structures
- Arrays and Strings
- Linked Lists
- Stacks and Queues
- Trees
- Graphs
- Sorting Algorithms
- Searching Algorithms
- Dynamic Programming
- Advanced Topics
- Basic knowledge of C++ programming language.
- Understanding of basic programming constructs (variables, loops, conditionals, functions).
- Overview of Data Structures
- Importance of Data Structures in Programming
- Basic Operations on Data Structures
- Introduction to Arrays
- Dynamic Arrays
- Strings and String Manipulation
- Array and String Problems and Solutions
- Singly Linked Lists
- Doubly Linked Lists
- Circular Linked Lists
- Linked List Problems and Solutions
- Introduction to Stacks and Queues
- Implementation and Operations
- Applications of Stacks and Queues
- Introduction to Trees
- Binary Trees
- Binary Search Trees (BST)
- Tree Traversal (Inorder, Preorder, Postorder)
- Introduction to Graphs
- Graph Representation
- Graph Traversal (DFS, BFS)
- Graph Algorithms
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Linear Search
- Binary Search
- Interpolation Search
- Hashing Techniques
- Introduction to Dynamic Programming
- Memoization and Tabulation
- Dynamic Programming Problems
- AVL Trees
- Red-Black Trees
- Trie Data Structure
- Advanced Graph Algorithms
- Big-O Notation and Time Complexity Analysis
Throughout the course, you will be given assignments and projects to reinforce your understanding of the concepts covered. These will include both theoretical problems and hands-on programming exercises.
- Basic knowledge of C++ programming language.
- Understanding of basic programming constructs (variables, loops, conditionals).
By the end of this course, you will have a solid understanding of fundamental data structures and algorithms in C++. You'll be equipped with the skills needed to solve complex programming problems and prepare for technical interviews.
Happy coding!