and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

The student is also exposed to the notion of a faster algorithm and asymptotic complexity through the O, big-Omega and big-Theta notations. In this module, the student will learn about the basics of ...

The straightforward nature of the binary search example, coupled with its crucial function in data structures, underscores the algorithm's importance. With a time complexity that prevails over ...