Dec 12, 2024 · Advanced Data Structures refer to complex and specialized arrangements of data that enable efficient storage, retrieval, and manipulation of information in computer science …

Gain hands-on experience as you explore foundational concepts, analyze algorithmic complexities, and implement efficient solutions to real-world problems. The journey begins with …

Data Structures • Data structures represent dynamic sets of instances. • dynamic means the set can change. • can be ordered or unordered.

Data structures play a central role in modern computer science. You interact with data structures even more often than with algorithms (think Google, your mail server, and even your network …

Learn the basics of advanced data structures and algorithms. We will cover topics like Big O notation, complexity analysis, and the importance of choosing the right data structure and …

choose appropriate data structures and algorithms, understand the ADT/libraries, and use it to design algorithms for a specific problem. understand the necessary mathematical abstraction …

We can analyse an algorithm by two ways. By checking the correctness of an algorithm. By measuring time and space complexity of an algorithm. Time complexity is defined in terms of …

Fundamentals of the Analysis of Algorithmic Efficiency –Asymptotic Notations and growth rate- Empirical Analysis – Divide and Conquer Methodology – Dynamic programming – Knapsack …

This course is designed to be an elective offering that explores advanced versions of foundational data structures (e.g., advanced array-based data structures and advanced tree data structures).

MC5301: ADVANCED DATA STRUCTURES AND ALGORITHMS COURSE OBJECTIVES Understand and apply linear data structures-List, Stack and Queue. Understand the graph …