Mathematics of Optimization
|Lecture||Mon/Wed/Fri 9:00-9:50 a.m. TH 211|
|Prerequisites:||MATH 325 with a grade of C or better|
|Instructor||Dr. Matthias Beck|
|Office||Thornton Hall 933|
|Office hours||Mon 11-12, Wed 10-11, Fri 1-2 & by appointment|
Course objectives. Mathematics of Optimization introduces linear optimization models, their solution techniques, and interpretation of these solutions. Specifically, students will be able to
Student Learning Outcomes. A skeleton of what you are expected to know & do at the end of the course is as follows:
The way to learn math is through doing math.
It is vital and expected that you attend every lecture. You will get
a good feel for the math from there, but it is even more crucial that you do the
homework. Working in groups is not only allowed but strongly recommended.
While I strongly encourage you to work together, the solutions and writing projects you hand in have to be your own.
I will assign weekly homework, each will be due the following Tuesday.
|Midterm Exam (22-24 October)||30%|
|Final Exam (19 December, 8:00-10:15am)||30%|
I want to ensure that each of you accomplishes the goals of this course as comfortably and successfully as possible. At any time you feel overwhelmed or lost, please come and talk with me.Fine print.
This syllabus is subject to change. All assignments, as well as other announcements on tests, policies, etc., are given in class. If you miss a class, it is your responsibility to find out what's going on. I will try to keep this course web page as updated as possible, however, the most recent information will always be given in class. Always ask lots of questions in class; my courses are interactive. You are always encouraged to see me in my office.