CO 602/CM 740 Course Requirements and Marks (Fall 2016)

Problem set 1 is available; with file Aoneseps.m (Please try problem 2 with lower bounds of -100 on the first two variables.)
Problem set 2
Problem set 3
Problem set 4
Problem set 5
Problem set 6
Problem set 7
Problem set 8

Course Requirements

Lecture attendance is a course requirement, although attendance is not recorded. The course requirements for CO 602/CM 740 include eight problem sets and a final exam. The problem sets are part written exercises and part programming. The written exercises involve design and analysis of algorithms and require mathematical proofs in many cases. The programming is in MATLAB on either Unix or Windows workstations. MATLAB is a high-level language for numerical computation. Prior knowledge of MATLAB is not a prerequisite of the course. (Information for using MATLAB can be found here)
Assignments are due before the start of class or on stated due date and time There is a late penalty of 10% for problem sets handed in up to 24 hours late. No problem sets are accepted more than 24 hours late.

The final exam is a 2.5-hour exam starting at TBA. You may bring one 8.5-by-11 sheet of paper written with notes. The exam covers topics drawn from the lectures and homework, and from the underlying mathematics--you are not responsible for any outside reading.

Marking

The problem sets count for 50% of the final mark and the final exam counts for the other 50%. The lowest scoring problem set out of the eight is dropped. One of the homeworks may be skipped, in which case this is the one that is dropped.

Academic integrity policy

Students are allowed to collaborate on the problem sets to the extent of formulating ideas as a group. Each student is expected to write up the problem set by himself or herself. Students must not hand in homework that represents somebody else's ideas entirely. Students should do the coding for programming questions by themselves---no program code should be shared.

Henry Wolkowicz, Department of Combinatorics and Optimization, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, http://orion.uwaterloo.ca/~hwolkowi/
back to course webpage

handed out 2016-Sep-13.