Data Structures and Algorithms. 3 credits

Catalog description

Fundamentals of data structures and analysis of algorithms, including the definition, implementation, and use of linear and nonlinear data structures and the design and analysis of elementary algorithms. Topics include sorting, searching, abstract data types, recursion, stacks, queues, lists, trees, heaps, priority queues, maps and hash tables, graphs, and the analysis of algorithm performance. Focus is on concepts and implementation of data structures using object-oriented programming tools and techniques. Offered by Info Sciences & Technology . Limited to two attempts.