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, ...

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 ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

Instructor Fall 2019: Bruce MontgomeryDescription and ContentObject-Oriented Analysis and Design is a course that presents an introduction to the design and construction of software systems using ...

COURSE GOALS: This course will cover the theoretical aspects of algorithm design and analysis. Starting with a matching problem, we will first discuss the three central tasks of algorithm design: ...

Algorithm design strategies such as divide and conquer. Elementary techniques for analysis; asymptotic analysis, recursion equations, estimation methods, elementary combinatorial arguments.

In this paper we examine the Cuthill-McKee algorithm for ordering the unknowns and equations in systems of linear equations, Ax = b, where A is sparse, symmetric, and positive definite. This algorithm ...