This is the home page for CMPSCI 575 and MATH 513, a single course cross-listed in both computer science and mathematics. COMPSCI 575 has a section for undergraduates and a section for graduates, but all students in the course will be treated and graded equally.
The subject matter will be (1) graph theory, including fundamental graph algorithms, (2) combinatorics, including basic counting, generating functions, and recurrences, and (3) a bit of combinatorial game theory.
Instructor Contact Info: David Mix Barrington, 210 CMPSCI building, 545-4329, office hours Monday 2-3, Tuesday 11-12, Thursday 2-3. I generally answer my email fairly reliably.
TA Contact Info:
Grader Contact Info:
The course is intended for advanced undergraduates or masters' students in either mathematics or computer science. The prerequisite is COMPSCI 250 or MATH 455, both courses in discrete mathematics emphasizing the mathematical method of definition and proof. A grade of B or better is normally required in this prequisite course, but override applications will be considered, particularly from students with later courses such as COMPSCI 311 or MATH 411 that demonstrate the kind of reasoning that will be needed here. Applications should be made via the on-line CICS override form linked from this page.
The course meets for three lecture meetings a week, Monday, Wednesday, and Friday 10:10-11:00 in Integrated Sciences Building room 221.
The textbook is Applied Combinatorics by Alan Tucker, available through the UMass Amazon virtual bookstore and elsewhere. Most homework assignments will be taken from the text.
The course is using the Moodle course management system. Basic information about the course will be on this site, and specifics of the course will be off of the Moodle main page.
Announcements (11 January 2017):
For the course overall, there were 5 A+, 9 ordinary A, 15 A-,
7 B+, 8 B, 4 B-, 3 C+, 3 C, and a D+, so that the median was
actually a low A-. Generally I was pleased by the performance
in the course, and I thank you all for an interesting and
enjoyable semester.
On Moodle, your exam score is shown on the same 0-400 scale used
for each component of the course. Your final numerical grade will
be a weighted average of these 0-400 scores, using the weights given
on the requirements and grading
page.
That grade will be converted to a letter grade by rounding to the
nearest standard value (A = 400, A- = 367, B+ = 333, B = 300, etc.)
with a five-point bonus. (So the minimum score for an A is 379.)
Numerical scores above 417 will be eligible for course citations.
. We expect to have solutions to HW#3
and grades for HW#2 on the Moodle site sometime on Saturday.
Question DAMB-1 is to show using decision trees that any comparison based algorithm to merge two sorted lists of size n requires 2n - O(log n) comparisons in the worst case. Question DAMB-2 is to show using an adversary argument that such an algorithm requires 2n - 1 comparisons in the worst case. Note that since different proof methods are specified, you will need different proofs. Also be sure to document any sources of help.
Last modified 11 January 2017