Description:

The course 'Design and Analysis of Algorithms' covers the fundamental principles and techniques for designing efficient algorithms and analyzing their performance. Topics include algorithm analysis, complexity theory, sorting and searching algorithms, graph algorithms, dynamic programming, and more. Students will gain a deep understanding of algorithmic design paradigms and learn how to rigorously analyze the efficiency of algorithms.

Key Highlights:

• Algorithm Design Principles
• Complexity Analysis Techniques
• Sorting and Searching Algorithms
• Graph Algorithms
• Dynamic Programming

What you will learn:

• Understanding Algorithm Design Principles
  Learn to apply various algorithm design techniques to solve complex problems.
• Analyzing Algorithm Efficiency
  Master the tools and methods for analyzing the time and space complexity of algorithms.
• Exploring Sorting and Searching Algorithms
  Gain hands-on experience with popular sorting and searching algorithms like QuickSort, MergeSort, Binary Search, and more.
• Diving into Graph Algorithms
  Explore graph traversal algorithms, shortest path algorithms, and more to solve graph-related problems effectively.
• Mastering Dynamic Programming
  Understand the principles of dynamic programming and apply them to solve optimization problems efficiently.