This advanced course delves deep into complex data structures and algorithms, equipping you with the skills to solve intricate problems efficiently. Designed for those with a foundational understanding of data structures, this course covers advanced topics such as balanced trees, hash tables, graphs, and dynamic programming. Through in-depth lectures and hands-on projects, you will learn to analyze algorithms and implement advanced data structures in real-world applications.

Learning Outcomes

By the end of this course, students will be able to:

• Construct and utilize complex data structures like AVL trees, B-trees, and graphs
• Evaluate the time and space complexity of various algorithms using Big O notation
• Apply advanced data structures and algorithms to tackle real-world challenges, including pathfinding and optimization
• Implement techniques for improving algorithm efficiency and reducing computational overhead

Prerequisites

• Completion of a basic data structures course
• Proficiency in at least one programming language (e.g., Python, Java, C++)
• Familiarity with algorithm analysis concepts

Certification

Upon successful completion of the course, participants will receive a Certificate of Completion, demonstrating their expertise in advanced data structures and algorithms.