(15) DUE: Monday, May 3

• TAKE HOME double linear programming test

• Work on your own and sign pledge.

(14) DUE: Friday, April 30

• Do Extenstions 1, 2, and 3 on LP sheets and hand in.
• Complete all steps of LP and give conclusion in context.

• Linear Programming Test
  

(13) DUE: Thursday, April 29

• Do Pizza Pie Extension #1 (pg. 58)
• this will be assembled with Extensions #2 and #3 and handed in on Friday.
  

(13) DUE: Wednesday, April 28

• Pizza Pie. Complete questions 1 - 17. (Pg. 56 - 57.)
• Use LP sheet.
  

(12) DUE: Tuesday, April 27

Pizza Pie (pg. 55 - 56)

• Do # 1 - 8 on LP sheet

Complete Art Poster

• How do you define best?
  
• What is the "best" decision?
  

(10) DUE: Monday, April 26

• EXTRA CREDIT: Optimization Project

• Use "How Optimiation is achieved in the real word" sheet as a guide.

• Interview someone who has to optimize in their job. Discover how they optimize and write it up. Be willing to share this information with the class.
  

(9) DUE: Friday, April 16

• Linear Programming page
• Your very best LP page with an explanation of what you did so you can use this for quizzes and tests.

• LP quiz on High Step Shoes.
• Bring High Step Shoes to class for quiz.
  

(8) DUE: Thursday, April 15

• Cutting times: Questions 1 - 21 on sheet. (pg. 43 - 46)
• Do work on LP sheet.
  

(7) DUE: Wednesday, April 14

• Do Not-Whole Plywood extension (pg. 33 - 34)
  
• Quiz grade.
  
• Work together, but then write up answers separately. Hand in your own work.
• Write up on LP sheet.
  

(6) DUE: Tuesday, April 13

• Complete Extension 1 of High Step Shoes.
  
• Do all 3 parts to be handed in.
  
• Be prepared to present your part.
  

(5) DUE: Monday, April 12

• High Step Extension 1.
  
• Solve using LP template sheet.
  

(4) DUE: Friday, April 9

• High Step Shoes. Read page 29 - 31.
• Do: 1 - 13 on Linear Programming sheet in packet.
  

(3) DUE: Thursday, April 8

• Complete LEGO problem
• Linear algebra Quiz
  

(2) DUE: Wednesday, April 7

• Solve Linear Algebra Problems

1. Graph
2. Convert to standard form
3. Convert to matrices
4. Solve for intersection
   

(1) DUE: Tuesday, April 6

• Read article on Malthus. How does this relate to linear programming.
• Start thinking about your own linear programming problem in which you have several variables and constraints and you are looking to optimize the solution.