Start Learning Advanced Algorithms II today!

Course Description

The algorithms course based on Python relies on the foundational knowledge from Advanced Algoritms part I but also extends that to provide a comprehensive understanding of data structures, path finding algorithms, and various search problems. The course focuses on the practical application of linked lists, trees, and graphs, which are essential data structures for organizing and manipulating large amounts of data.

The course also covers path finding algorithms, which are commonly used in various fields, such as transportation, logistics, and gaming. The students will learn about the different types of search algorithms, including informed and uninformed search algorithms. They will also learn about the trade-offs between these algorithms and when to use them in various scenarios.

In addition, the course delves into greedy algorithms, recursive and iterative algorithms, and their applications. These algorithms are important tools for solving complex problems, and the students will learn how to analyze and implement them in Python.

Overall, this course is designed to equip students with a strong foundation in algorithms and data structures, which are essential skills for computer science, data science, and engineering fields. Through hands-on programming exercises and real-world examples, students will gain practical experience in solving real-world problems using Python.