Practical Data Structures and Algorithms

3 credits · Undergraduate Programs

Introduction to foundational data structures such as stacks, queues, lists, heaps, hash tables,trees, and graphs. Sorting and searching algorithms. Complexity analysis. Applications for software development Prerequisite(s): Software Engineering for Engineers 300 and 337. Antirequisite(s): Credit for Software Engineering for Engineers 338 and Computer Science 319 will not be allowed.