This follow-on course to data structures (e.g., 605.202 Data Structures) provides a survey of computer algorithms, examines fundamental techniques in algorithm design and analysis, and develops problem-solving skills required in all programs of study involving computer science. Topics include advanced data structures (red-black and 2-3-4 trees, union-find), algorithm analysis and computational complexity (recurrence relations, big-O notation, introduction to NP-completeness), sorting and searching, design paradigms (divide and conquer, greedy heuristic, dynamic programming), and graph algorithms (depth-first and breadth-first search, minimum spanning trees). Advanced topics are selected from among the following: multi-threaded algorithms, matrix operations, linear programming, string matching, computational geometry, and approximation algorithms. The course will draw on applications from Bioinformatics.
605.202 Data Structures or equivalent, and 605.201 Introduction to Programming Using Java or equivalent.
This course does not satisfy the foundation course requirement for Data Science, Computer Science, or Cybersecurity. Students can only earn credit for one of 605.620, 605.621, or 685.621.