2 exams, each corresponding to 40% of the final grade.
Several homeworks to be announced every week, and handed in in the beginning of the following class. These account for the remaining 20% of the grade.
Students should be familiar with Excel (in special, the Solver), and have basic knowledge about linear programming (i.e., understand a LP formulation, and how to apply the simplex method).
This course requires a somewhat higher level of abstraction, when compared to a Bachelor course. Students are expected to spend around 1-2 hours per week in out-of-class studies (reviewing the content, and preparing the homeworks).
Slides will be available through Moodle, and are sufficient for covering all the content of the course.
For a quick review of linear programming, including the simplex method, students are referred to:
Hillier, Lieberman. Introduction to Operations Research. Chapters 1-5.
(Optional!) For a deeper and more rigorous understanding of many of the methods we see in this course, students are referred to:
Bertsimas, D., Tsitsiklis, J. Introduction to Linear Optimization.