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Algorithm ABC: Decoding the Invisible

< Level: Intermediate >

Basic Coding

Stepping into “Algorithm ABC: Decoding the Invisible,” you embark on a journey of unraveling the mysteries of algorithms, the silent force behind our digital experiences. This intermediate-level course requires a basic understanding of mathematics and coding, as we dive into the core of various algorithm types, their applications, and performance measurement.

Chapter Breakdown

  • Chapter 1 – Introduction to Algorithms: Learn what algorithms are, their broad utilities, and the basics of algorithm complexity.
  • Chapter 2 – 4 Analysis of Algorithms: Including chapters on Time Complexity, Space Complexity, and Asymptotic Notation.
  • Chapter 5 – Recursive Algorithms: Understand the concept of recursion in algorithms, and its pros and cons.
  • Chapter 6 – 8 – Sorting Algorithms: Delve into popular sorting algorithms like Bubble Sort, Merge Sort, and Quick Sort with code examples.
  • Chapter 9 – 11 – Searching Algorithms: Explore conventional searching algorithms including Linear Search, Binary Search, and Hashing.
  • Chapter 12 – 14 – Graph Algorithms: Learn the concept of graphs and basics of graph traversal techniques: Depth-First Search and Breadth-First Search.
  • Chapter 15 – 17 – Shortest Path Algorithms: Understand the algorithms used for finding shortest paths in graphs, including Dijkstra’s algorithm and Bellman-Ford algorithm.
  • Chapter 18 – 20 – Dynamic Programming: Discuss the principles of dynamic programming, with common examples like the knapsack problem, fib sequence, minimum coin change problem.
  • Chapter 21 – 23 – String Matching Algorithms: Explain how string matching is done using algorithms like the Knuth-Morris-Pratt algorithm and Rabin-Karp algorithm.
  • Chapter 24 – 26 – Tree Algorithms: Learn about trees and tree algorithms, including Binary Trees, Tree Traversal, and Binary Search Trees.
  • Chapter 27 – Algorithm Design Techniques: Get introduced to popular algorithm design techniques such as Divide and Conquer, Greedy Algorithms, and Backtracking.
  • Chapter 28 – Real-world Applications of Algorithms: Look at real-world applications of algorithms across various sectors, and consider the ethical implications.

By the end of this course, you will be well-versed in the language of algorithms, enhancing your ability to decode our digital experiences’ invisible drivers. Get ready to make the invisible visible!