Due dates are shown for all of the course assignments, including the preparation of cases, group problem sets, take-home 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 Spreadsheet-Based Approach, Duxbury Press, 2003.

1 1 Introduction and Overview  
  2 LP (Linear Programming) - Introduction, Formulations and Geometry  
  3 LP (Linear Programming) - Example Prepare Red Brand
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 13-14)
6 14 Introduction, Simulation Process and Stochastic Modeling Prepare Questions 1 to 3 in ClearPicture
  15 Monte-Carlo Theory and Examples (with Crystal Ball®) Probability/Statistics Review 1 Checklist
    Tutorial: Monte-Carlo Modeling and Crystal Ball® Tutorial Book Report Due (PDF)

Group Problem Set 5 (PDF)
7 16 Ontario Gateway Case Discussion Ontario Gateway Case Write-Up
  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: Discrete-Event Modeling and SIMUL8® Tutorial Group Problem Set 6
8 19 Discrete-Event Case Discussion Human Genome Case Write-Up (Discrete Event Case)
  20 Experimental Design and Simulation Analysis Probability/Statistics Review 2 Checklist
  21 Advanced Modeling, Simulation-Based 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)