bldg. 70B, room 3657,
(585) 475-5193, email@example.com
Office hours: M 5-6pm, TR 8-9pm (if nobody comes by 8:15pm I may go home), or send email
This course will explore the possibilities and limitations of effective computations in combinatorics. The first half of the course will cover classical algorithms in combinatorial computing, together with the problems of generation, enumeration and manipulation of various types of combinatorial objects (graphs and finite set systems). The second part will concentrate on computational techniques for the search of different combinatorial configurations: Ramsey numbers, t-designs, Turan coverings, Folkman colorings and others. A number of topics suitable for further independent study, project or thesis development will be discussed.
Students will write a term paper, either theoretical based on literature or reporting student's own implementation or experiments with a chosen combinatorial problem. Depending on the size of the group, some or all students will give a presentation to the class.
Prerequisite: VCSG-800/VCSS-515, Algorithms
The evaluation of undergraduate and graduate students will be based on the same items, except that specific requirements of some will be more extensive for graduate students. This may include more difficult requirements for programming assignments and additional problems on standard homeworks.