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 ...

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

Cross-listed with DTSA 5503. Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

Design algorithms and analyze their complexity in terms of running time and space usage; Create applications that are supported by highly efficient algorithms and data structures for the task at hand; ...