REQUIRED TEXT: R. K. Ahuja, T. L. Magnanti, and J. B. Orlin, Network Flows: Theory, Algorithms, and Applications, Prentice Hall, 1993 COURSE DIRECTOR: Hai Zhou COURSE GOALS: This course will cover the ...
Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...
The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...
Additionally, students must always refer to course syllabus for the most up to date information. Covers the fundamentals of algorithms and various algorithmic strategies, including time and space ...
sorting algorithms, optimization problems and complexity analysis. The course includes a significant practical component covering the implementation and application of important data structures and ...
Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...
An algorithm is a list of rules to follow in order to complete a task or solve a problem. The steps in an algorithm need to be in the right order. Think about an algorithm for getting dressed in ...
The algorithms which apply to Ulster University awards, including courses delivered at partner institutions, were introduced from May 2019. The best outcome from previous and current algorithm ...
Algorithms are one of the four cornerstones of Computer Science. An algorithm is a plan, a set of step-by-step instructions to solve a problem. If you can tie shoelaces, make a cup of tea, get ...