Due dates are shown for all of the course assignments, including the preparation of cases, group problem sets, takehome midterm exam, and group projects. A description of the group project, including examples of student work, is available on the projects page.
Some assignments refer to the course textbook, which is Baker, Kenneth R., Optimization: A SpreadsheetBased Approach, Duxbury Press, 2003.
WEEK #  SES #  TOPICS  ASSIGNMENTS 

1  1  Introduction and Overview  
2  LP (Linear Programming)  Introduction, Formulations and Geometry  
3  LP (Linear Programming)  Example  Prepare Red Brand  
Tutorial  
2  4  Networks  Introduction  
5  LP (Linear Programming)  Example  Prepare Filatoi Riuniti  
Tutorial  Group Problem Set 1: LP (Linear Programming) (PDF)  
3  6  LP (Linear Programming)  Example: Tony Palumbo, Ford  Prepare Ford Case 
7  LP (Linear Programming)  Solution Methods and Sensitivity Analysis  
Tutorial  Group Problem Set 2: LP (Linear Programming) (PDF)  
4  8  Integer Programming  Formulations  Mid Term Due 
9  Integer Programming  Algorithms  
10  Integer Programming  Heuristics  Prepare TSP Challenge  
Tutorial  Group Problem Set 3: LP (Linear Programming) & Networks (PDF)  
5  11  Debriefing of Inventory Simulation (with 15.761)  
12  Stochastic LP (Linear Programming)  Prepare Red Brand (B)  
13  Optimization in Practice: John Bean, Intel  
Tutorial  Group Problem Set 4: ILP (PDF)  
Group Meeting with Instructor (between Sessions 1314)  
6  14  Introduction, Simulation Process and Stochastic Modeling  Prepare Questions 1 to 3 in ClearPicture 
15  MonteCarlo Theory and Examples (with Crystal Ball®)  Probability/Statistics Review 1 Checklist  
Tutorial: MonteCarlo Modeling and Crystal Ball® Tutorial 
Book Report Due (PDF)
Group Problem Set 5 (PDF) 

7  16  Ontario Gateway Case Discussion  Ontario Gateway Case WriteUp 
17  Discrete  Event Framework and Examples (with SIMUL8®) 
Implement ClearPictures in SIMUL8®
Question 5 in ClearPictures, Inc. 

18  Theory of Constraints (Joint Session with 15.761)  Group Project Proposal  
Tutorial: DiscreteEvent Modeling and SIMUL8® Tutorial  Group Problem Set 6  
8  19  DiscreteEvent Case Discussion  Human Genome Case WriteUp (Discrete Event Case) 
20  Experimental Design and Simulation Analysis  Probability/Statistics Review 2 Checklist  
21  Advanced Modeling, SimulationBased Optimization  
Tutorial: Experimental Design and Simulation Analysis Tutorial  Group Problem Set 7  
9  22  Non Linear Programming  Formulations  
23  NLP (Non Linear Programming)  Examples and Algorithms  Prepare Apollo Paper Company  
10  24  Project Presentations  Group Projects 
25  Project Presentations  Group Projects  
26  Project Presentations and Class Summary  Group Projects  
Tutorial  Group Problem Set 8: NLP (Non Linear Programming) 