Professor: Boue Course format: Lecture w/section Number of respondents: 20 Total Enrollment: 30

Class Composition Froshs: 0 Sophs: 0 Jrs: 11 Srs: 17 Concs: 6 Non-Concs: 13 Don't Know: 1	Instructor Average: 1.55 Course Average: 1.87

"Operations Research: Deterministic Models" is an upper-level course dealing with the various techniques used in the optimal allocation of resources. Topics focused on real-world applications of algorithms. It is cross-listed as Engin 131.Opinions varied on what kind of background was necessary: some claimed only basic math was required, while others encouraged interested students to know linear algebra and to be familiar with programming.

Th einstructor in this class was a graduate student, Michelle Bou‚. Students for the most part thought very highly of her, noting especially her sensitivity to the class's level of understanding. She was very willing to answer questions in class, but many students preferred to approach her in office hours instead. Her lectures were clear and easy to follow. The handouts and examples in class made the lectures more interesting and effective.

The work load consisted of a midterm, a final and weekly homework sets. Most of the class thought the written work was appropriate in terms of length and difficulty. The work outside class only required two to three hours each week.

Essentially, this class is relatively easy as math courses go, but some students wished they could have gotten more out of it. For those who have to take it, it's definitely not the worst you could do, but the grad student instructor may or may not be teaching it, which may limit its attractiveness.

View AM/0121 in the Brown Online Course Announcement.