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Algorithms and Data Structures
YOUR PATHWAY TO SUCCESS
This intensive 5-day course provides a deep dive into the fundamental concepts of algorithms and data structures, the building blocks of efficient software development. You’ll learn about various data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and how to choose the right data structure for a given problem.
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Course Duration
5 Days
Course Details
This intensive 5-day course provides a deep dive into the fundamental concepts of algorithms and data structures, the building blocks of efficient software development. You’ll learn about various data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and how to choose the right data structure for a given problem. We’ll explore classic algorithms for searching, sorting, graph traversal, and dynamic programming. You’ll not only learn how these algorithms work, but also why they work, and how to analyze their time and space complexity. This course emphasizes hands-on implementation, and you’ll be coding these algorithms yourself, gaining practical experience and a deeper understanding.
This course is designed to empower you to write more efficient and performant code. You’ll learn how to analyze algorithms using Big O notation, a crucial skill for understanding how an algorithm’s performance scales with input size. We’ll also cover advanced data structures like hash tables and heaps and explore their applications. By the end of this course, you’ll be able to design and implement efficient algorithms and choose appropriate data structures for a wide range of problems.
By the end of this course, learners will be able to:
- Understand and implement fundamental data structures.
- Analyze the time and space complexity of algorithms.
- Implement various searching and sorting algorithms.
- Apply graph traversal and dynamic programming techniques.
- Choose appropriate data structures and algorithms for specific problems.
- Computer science students and professionals.
- Software developers who want to improve their coding skills.
Anyone interested in learning about algorithms and data structures.
Course Outline
5 days Course
- Introduction to Data Structures and Algorithms:
- What are data structures and algorithms?
- Big O notation: Analyzing algorithm complexity.
- Arrays and linked lists: Implementation and operations.
- Stacks and queues: Implementation and applications.
- Hands-on exercises: Implementing basic data structures.
- Binary trees: Representation and traversals.
- Binary search trees: Insertion, deletion, and search.
- Balanced trees (AVL trees or red-black trees): Introduction.
- Heaps: Implementation and applications (priority queues).
- Hands-on exercises: Implementing tree operations.
- Graphs:
- Graph representations: Adjacency matrix and adjacency list.
- Graph traversals: Depth-first search (DFS) and breadth-first search (BFS).
- Shortest path algorithms: Dijkstra’s algorithm.
- Minimum spanning trees: Prim’s algorithm or Kruskal’s algorithm.
- Hands-on exercises: Implementing graph algorithms.
- Graphs:
- Searching and Sorting Algorithms:
- Linear search and binary search.
- Sorting algorithms: Bubble sort, insertion sort, selection sort, merge sort, quicksort.
- Comparison of sorting algorithms.
- Hands-on exercises: Implementing searching and sorting algorithms.
- Searching and Sorting Algorithms:
- Dynamic Programming and Advanced Topics:
- Dynamic programming: Principles and examples (e.g., Fibonacci sequence, knapsack problem).
- Greedy algorithms: Introduction.
- Hashing and hash tables.
- Hands-on exercises: Implementing dynamic programming solutions.
- Dynamic Programming and Advanced Topics:
