CSCI 230 Data Structures and Algorithms (3)

This course reviews and develops the abstract data type as mathematical models. Data structures and algorithms are developed as the objects and operations of abstract data types. Topics include lists, stacks, queues, trees, graphs, searching, sorting, and analysis of the efficiency of algorithms. Lectures three hours per week.
Prerequisite(s): CSCI 221 with a grade of C- or better and MATH 207.
Course Frequency: Fall and Spring