Jonathan Eckstein's Operations Management Classes 33:623:386:06
This page is for my Spring 2010 class.
For my Fall 2009 class, click here.
For limited-distribution materials such as
homework solutions, I am also using the Sakai
website for this class.
Announcements (As of
May 12, 2010 05:56 PM)
- The final exam is graded, and grades are now on Sakai
- For this section, the average score was 77.3 and the median score was
77.8. These scores were roughly similar to the overall profile for
all sections, and also quite similar to the second midterm.
- The grade distribution had a single peak, and not two distinct peaks
as it did on the midterms.
- In my view, the exam was long and comprehensive, but most of it should
not have been very difficult. Your scores on the first and third
algebra questions (advertising and investment) were lower than I
expected. Otherwise, you performed well.
- Both final exam scores (out of 100) and course grades may be found on Sakai.
- Enjoy your summer!
- There will be no more office hours for the semester. To see me,
e-mail for an appointment.
Usual Office Hour Schedule
My office is in the J. H. Levin building, room 255. My usual office hour
schedule is as follows:
- Mondays 2:30-4:00PM
- Wednesdays 2:30-4:30PM
- Or other times by appointment.
I will depart from this schedule in special circumstances, as noted in the
announcements section above.
Handouts and Class Materials
Note: (CP xxx) means page xxx of the course pack.
- Tuesday, January 19: Overview, introduction, and first example
- Thursday, January 21: Learning to use Solver
[in
lab]
Students with last names starting with A-K attend lab 1:40-2:20; those with last names
starting with L-Z attend lab 2:20-3:00
- Tuesday, January 26: The geometry of linear programs and "graphical
solution"
- Thursday, January 28: Linearity, the diet problem, and SUMPRODUCT
- Tuesday, February 2: Process models
- Thursday, February 4: Simple network-structured models -- multiple
periods and transportation
- Tuesday, February 9: Blending constraints
- Thursday, February 11: Blending constraints combined with other
things both old and new
- Tuesday, February 16: Combining "blocks" of familiar models into
larger ones
- Thursday, February 18: Project scheduling
- Tuesday, February 23: Introduction to integer variables, discuss
format of
midterm
- Thursday, February 25: Grids of integer variables, review for
midterm
- Tuesday, March 2: Midterm exam 1
- Thursday, March 4: Set covering, set partitioning, and logic
constraints
- Tuesday, March 9: Results of first midterm, setup cost and
disjunctive models
- Thursday, March 11: More complicated integer programming models
- Tuesday, March 16: Spring break -- no class
- Thursday, March 18: Spring break -- no
class
- Tuesday, March 23: Introduction to applied probability and
simulation
- Thursday, March 25: Binomial distributions, in-class YASAI exercise
[in
lab]
Students with last names starting with A-K attend lab 1:40-2:20; those with last names
starting with L-Z attend lab 2:20-3:00
- Tuesday, March 30: More probability, Poisson distributions,
testing combinations of YASAI parameters
- Thursday, April 1: More probability, continuous random variables,
and the 3-door example problem
- Tuesday, April 6: Sums and averages of random variables, and using
the central limit theorem in simulation
- Thursday, April 8: Introduction to simulation with multiple time
periods
- Tuesday, April 13: Midterm Exam 2
- $ Thursday,
April 15: Waiting in line
- Tuesday, April 20: Go over midterm; a dynamic simulation with
multiple state information and survival rates
- Thursday, April 22: Dynamic simulation with age tracking, review
for final (time permitting)
- Tuesday, April 27: Discrete-event simulation, exponential/geometric
distributions, review for final
- Thursday, April 29: Review for final
- There are no lecture notes for this review session
- Monday, May 10:
Final exam, Lucy Stone Hall Auditorium, 12-3PM.
Homework Solutions
Unless otherwise noted, solutions are in Adobe PDF format, and can be viewed
with
Adobe Reader.
This semester, all homework solutions will be stored on Sakai,
requiring a login. The links below direct you to resources within Sakai.