AAE526: Quantitative Methods

*** Fall 2011 Course Syllabus ***


Instructor:

Dr. Tom Cox
Room 520 Henry Taylor Hall,
427 Lorch Street, CAMPUS
Phone: 262-9493 (If more than three rings, I'm not in !!!).

EMAIL: TCOX@WISC.EDU


Class Time/Place:    M/W/F 9:55-10:45 Room 1143, Mechanical Engineering

 

Office/Lab Hours:    MWF: 8:30-9:30 Engineering Hall Cafeteria (1st Floor, Left of MAIN Entrance).
                                  MF: 11-2, 520 Henry Taylor Hall (by appointment)
                                  TTH: 11-2, 520 Henry Taylor Hall (by appointment)  

Computer Lab:         HECC (Henry Taylor Hall Basement): Wed, 11-1, 3-5, 7-9 (choose one).

 

Class WEB-Site:        www.aae.wisc.edu/aae526/main.asp

 

Required Textbooks:
o   Cliff T. Ragsdale, Spreadsheet Modeling and Decision Analysis: A Practical Guide to Management Science. 5th Edition.
o   Berk and Carey, DATA ANALYSIS with Microsoft EXCEL 2007. 3rd Edition.
*         STATPLUS zip file

 

  Course Pre-Requisites: ECON 301 or equivalent, or consent of instructor. This course will be fairly computer intensive using EXCEL 2007 as well as several EXCEL "add-ins" (Solver, Crystal Ball, etc.). If you do not have a good working understanding of Windows Office 2007 (EXCEL 2007 in particular), the Data Analysis with Microspft EXCEL 2007 text provides an excellent, self directed primer (but will take additional time/commitment to master: get started on this exercise ASAP).

 

Course Objectives: This course provides a Senior/Masters level introduction to applied quantitative methods with a focus on agriculture related examples. In particular the course seeks to apply the general principles and tools of matrix algebra, statistics and decision analysis (optimization and simulation) to agricultural/resource issues from a quantitative/management oriented perspectives. The course stresses "hands on" applications of analytical methods, concepts and techniques to gain a thorough understanding of the economic principles and methodologies underlying business decision-making. There will be extensive computer based assignments using spreadsheet and statistical software using Windows/EXCEbased personal computers.

 

Computer Lab: A two-hour per week computer lab is required of all students. These labs will be offered multiple hours each week (Wed 11-1, 3-5 and 7-9) and will cover the computer skills required for the end of chapter questions and the homework assignments. Plan to come to attend (or more, as needed) of these lab sessions – they are absolutely vital to class objectives.

 

Grading: There will be one mid-term exam and a cumulative final exam. The midterm will cover Weeks 1-7. There will be multiple homework assignments from questions at the end of each chapter. Most of these assignments will require extensive computer work that will be discussed in class as well as during lab times. Your final grade will be a weighted average of the midterm and final exams, and the average grade of the take home assignments. The exams and each homework will be graded on the basis of 100 points. The relative weights for the composite, final grade will be:
o   Take Home (TH) Midterm Exam: 25%
o   Average of Homework Assignments: 50%
o   Cumulative TH Final Exam: 25%  

 

Summary: This course should provide you with a very "hands-on" introduction to applied quantitative methods using Excel spreadsheets. I encourage you to consider this class an introduction and to further acquire a deeper understanding of these tools with additional class work and applications.

 

Web-Sites:
o   The class website (http://aae.wisc.edu/aae526/main.asp) will contain this syllabus, required spreadsheet files, and class lecture overheads. Please visit the site it you miss a class/lecture.
o   The text website Ragsdale 5th Edition provides limited additional information.


Please feel free to stop by my office and chat during office hours, or make an appointment to visit.

Lastly, ASK QUESTIONS if/when needed. Good Luck. I hope we have a fun and productive semester.


This Web-Page works well under Netscape/Firefox !!!


CLASS Google/Email Open-Sourced Readings !!!


Hal Varian:

The New Normal:
o  
Welcome to the New Normal Implications for the investor.
o   Cargill Newsletter The “new normal” from a brand management/marketing perspective.

 

Black Swans:
o   Joe Nocera NYTimes
o   WIKI: Black Swan
o   Inteview w/ Taleb  

 

Other/EXCEL/Lab:
o   Matrix Operations in EXCEL 2007  

 

TH MT Readings/Links:
o   False Positives: Lyme (Isthmus/pdf) Social costs of false negatives.
o   Weak/Strong Priors/Posteriors (link: read the follow up discussions) Nobel Prize: “skyhook” versus correspondence with “reality”???

 

Joel Karlin: Western Milling Newsletter
One of my gurus of Ag Supply/Demand Balance using the best of KGP (IMHO). Sells feed ingredients to large California dairies as well as provides futures/hedging services on both feeds and dairy. Look for his key tools via tables, charts, and “value added”/qualitative insights:

2011 Weekly Newsletters:

 

John Mauldin: Outside the Box and Thoughts from the Frontlines (Weekly Blogs).
John Mauldin is another one of my macro/global gurus for business/financial trends, insight, and awareness – from a global hedge fund perspective.  Brilliant, hard-nosed, hard hitting, no holds barred – and personable!!!

 

McKinsey Institute: Huge, cutting edge, state of the art, applied business analysis: analytical, aggregate/disaggregate (sectors, regions, themes), applied academic/business perspectives.

 

STRATFOR: Free Weekly Blog
Snapshots of the power of the geo-political perspective at its finest -- the intersection of people and place, historical context, and national/strategic interests. A vital (qualitative) part of the KGP dialectic. I especially enjoy el toro viejo (the old bull (man) and owner), George Friedman.

 

4th Edition Files (Chapter Figures):


TENTATIVE SCHEDULE
NOTE: Downloadable links are in BLUE !!!


Week 0:       Welcome, Introduction, Math/Stats Review


Readings:
Ragsdale, Chapter 1, Introduction to Modeling and Decision Analysis. Start.
* Lecture (ppt): 1/page.
* Chapter 1 (annotated pdf): 16 pages.

 

McKinsey/Mauldin Readings:
* Zen Lessons in Market Analysis  (annotated pdf)
*
Use-Abuse of Scenarios (annotated pdf)

 

EXCEL REVIEW !!!
 Berk and Carey: Chapters 1-3 (see below). These chapters are our 1st priority.

Additional DoIT EXCEL 2007 Online Review Materials: The Berk and Carey should be sufficient. The links below provide on-line/video alternatives.
o   DoIT STS Link: http://www.doit.wisc.edu/training/student/calendar.aspx You can sign up for ”free” (opportunity cost of time!!!) classes via DoIT here.
o   DoIT STS 2007 Files: EXCEL 2007 Tutorials (7.4 M zip).
o   DoIT On-line Video Training: EXCEL 2007 Essential Training (link/html)
o   EXCEL 2007 Essential Training Data Files (link/zip)
o   DoIT On-line Video Training: EXCEL 2007 Financial Analysis (link/html)
o   EXCEL 2007 Financial Analysis Data Files (link/zip)

 

“Homework”/Lab:
Review Ragsdale Chapter 1 Problems 1-26.
Berk and Carey: Start working these chapters on your own ASAP. We will spend some lab time on them as needed.
o   Chapter 1 (Getting Started with Excel): Chapter 1 Data
o    Chapter 2 (Working With Data): Chapter 2 Data
o   Chapter 3 (Working With Charts): Chapter 3 Data
GOOGLE: dialectic (Hegelian dialectic), duality (mathematical duality), heuristic, the "art of the long view".
EXAMPLES:

  • Data to Decisions (annotated pdf)
  • The Art of the Long View (annotated pdf)
  • STRATFOR: 9/11 and the 9-Year War (annotated pdf)
  • McKinsey: Shopfloor Costs. (annotated pdf)

  • Week 1:    Math/Stats Review


    Readings/Lectures:

    o    Ragsdale, Chapter 1, Introduction to Modeling and Decision Analysis. Done/Review.
    Linear Algebra: Start/Finish.
    * Lecture: Review of Linear Algebra (pdf): 1/page, 2/page.
    * Associated Reading: Kristensen Advanced Herd Management; Appendix-B (pdf)

    Statistics I: Start.
    * Lecture: Review of Statistics I (pdf): 1/page, 2/page.
    * Assocaiated Reading: Kristensen Advanced Herd Management; Appendix-A (pdf). (with my highlights/comments)!!!

     

    Homework/Lab:
    o   Exercise: Linear Algebra (pdf): 1/page.
    o   HMWK1: Answer above Exercises 1, 2, 3 using Excel. Due 1 week from Friday (9/17) = ~1.5 lab sessions.
     

    Self Study/EXCEL Review:
    o   Berk and Carey: Complete Chapters 1-3.
    o   Matrix Operations in EXCEL 2007


    Week 2:   Math/Stats Review


    Readings:

    o   Ragsdale, Chapter 1: Done/Review.

    o   Statistics I: Done/Review.
    Statistics II: Start.
    * Lecture: Review of Statistics II (pdf): 1/page, 2/page.
    * Associated Reading: Kristensen Advanced Herd Management; Appendix-C (pdf) (with my highlights/comments)!!!

     

    Homework/Lab:
    o   Exercircise: Statistics I (pdf): 1/page.
    o   HMWK2: Answer 1:1-6, 2-1, 3-1, 4-1 using Excel. Due 1 week from Friday (9/24) = ~1.5 lab sessions.Hmwk 1 Due Friday 9/17 !!!

    Weekly Wheat/Chaff Updates ("sift and winnow"):

     

    Google Search: Black Swan Thread/Heuristic Theme....
    As a follow up to our original Black Swan search, be sure to Google:
    §  "power law"
    .

    §  "Pareto 80 20 rule".
    §  "fat tails".

    NOTE, these KGP ("open source" search) complement the "drinking from a fire hose" heuristic!!!

    §  Can you briefly summarize (define/compare/contrast) the process/decision implication these concepts in terms of our KGP/heuristic (think models: verbal, visual, actual/prototype, mathematical).

     

    Self Study/EXCEL Review:
    Chapter 4 (Describing Your Data): Start/Finish.
    o   Chapter 4 Data (link to directory to choose files)
    o   Concept Tutorial: Boxplots (xlsm)
    Chapter 5 (Probability Distributions): Start.
    o   Chapter 5 Data Concept Tutorial: PDFs (xlsm)
    o   Concept Tutorial: Random Samples (xlsm)  
    o   Concept Tutorial: The Normal Distribution (xlsm)
    o  Concept Tutorial: Sampling Distributions (xlsm)  
    o  Concept Tutorial: The Central Limit Theorem (xlsm)  


    Week 3:   Math/Stats Review


    Readings:

    o   Ragsdale, Chapter 1: Done/Review.

    o   Math/Stats: Done/Review.

     

    Weekly Wheat/Chaff Updates ("sift and winnow"):

     

    Homework/Lab:
    o   Exercise: Statistics II (pdf): 1/page.
    §  XLS spreadsheet (question 1): littersize.xls.
    §  XLS spreadsheet (question 2): pregnant.xls.
    o   HKMWK3: Answer question 1 using Excel. Due Friday, 10/1 (= ~1.5 lab sessions).
    o   HMWK2 Due Friday 9/24!!!  

     

    Self Study/EXCEL Review:
    o   Berk and Carey: Finish Chapter 5 (Probability Distributions): Work all concept tutorials. 


    Week 4: 

    * Math/Stats Review

    * Optimization and Linear Programming


    Readings:

    o   Ragsdale, Chapter 1: Done/Review.

    o   Math/Stats: Done/Review.

    Ragsdale Chapter 2: Introduction to Optimization and Linear Programming. Start.

     

    Weekly Wheat/Chaff Updates ("sift and winnow"):

     

    GOOGLE Search: From Joel's 9/26 newsletter.
    * fibonacci replacement and the associted * golden ratio

    * triple bottoms

     

    Homework/Lab:
    o   Exercise: Chapter 2, answer questions 16, 17, 18, and 19.
    o   HHWK3 Due Friday 10/7 !!!


    Week 5/6/7/8:

    * Math/Stats Review

    * Optimization and Linear Programming

    * Modeling and Solving LP Problems in a Spreadsheet


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2: Done/Review.

    Ragsdale Chapter 3: Modeling and Solving LP Problems in a Spreadsheet. Start.

     

    Weekly BSwan Wheat/Chaff Updates ("sift and winnow"): "Existntial", compelling/current examples of APPLIED KGP!!!

    Homework/Lab:
    o   HMWK3 RW: Due Friday 10/14 !!!
    o   TH MT PREP !!!
    o   TH MT Issues.....


    WEDNESDAY 10/19: Take Home MIDTERM EXAM -- DUE FRIDAY 10/28 (10 days) .


    Week 8/9: 

    * Modeling and Solving LP Problems in a Spreadsheet

    Sensitivity Analysis and the Simplex Method


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3: Done/Review.

    Ragsdale Chapter 4: Sensitivity Analysis and the Simplex Method. Start.
    o   Lecture (pdf): 1/page.
    o   Figures: Chapter 4 Figures (zip: 73k)  

     

    Weekly BSwan Wheat/Chaff Updates ("sift and winnow"): "Existntial", compelling/current examples of APPLIED KGP!!!

    Conditional Probability (Situational PRIORS/"strucurable aspects) SCENARIOS: "Map" these verbal (as prototype) models via a series of "situation" (conditional probability) based decision/manangemt strategies (scenarios)!!!

     

    Homework/Lab Chap 3:
    o   Exercise: Chapter 3, answer questions 4, 5, 6, 23, 24, 27, 31, 37, Case 3.1, Case 3.2 and Case 3.3.
    o   HMWK4: Problem 3-46 (Due Friday 11/11)
    o   Extra Credit: Case 3.1 (Due Friday, 11/11).

     

    Homework/Lab Chap 4:
    o   Exercise: Chapter 4, answer questions 6, 8, 19, Case 4.1.
    o   HMWK5: Case 4.2 (due 1 week from Friday, 11/18).
    o   HMWK4 (Chapter 4) Due Friday 11/11 (end of week 9)!!!
    o   HMWK4 XC Due Friday 11/11 (end of week 9)!!!


    Week 9/10:    

    * Sensitivity Analysis and the Simplex Method

    Network Modeling


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3: Done/Review.

    o   Ragsdale Chapter 4: Sensitivity Analysis and the Simplex Method. Finish/Review.

    Ragsdale Chapter 5: Network Modeling. Start.
    o   Lecture (pdf): 1/page.
    o   Figures: Chapter 5 Figures (zip: 52k)

     

    Homework/Lab Chap 5:
    o   Exercise: Chapter 5, answer questions 7, 9, 10, 11, 18, 27, 28, 34, and Cases 5.1 and 5.4.
    o   HMWK6 (Chapter 5) Due Friday 11/11 (end of week 9)!!!    Case 5.1 and either 5-34 or 5.4 (Due Wednesday, 12/12). Must solve Case 5-1 to be eligible for one more !!!


    Week 10/11:    

    * Network Modeling

    Integer Linear Programming


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3/4: Done/Review.

    o   Ragsdale Chapter 5: Network Modeling. Finish/Review.

    Ragsdale Chapter 6: Integer Linear Programming. Start
    Lecture (pdf): 1/page.
    Figures: Chapter 6 Figures (zip: 70k)

     

    Homework/Lab Chap 6:
    o   Answer Questions 5, 6, 11, 12, 13, 18, 21, Cases 6.1, 6.2, and 6.3.
    o   HMWK7: to be determined


     Week 11/12: 

    * Integer Linear Programming

    Regression: The Simple Linear Model


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3/4/5: Done/Review.

    o   Ragsdale Chapter 6: Integer Linear Programming. Finish/Review

    Ragsdale Chapter 9, Regression Analysis Ragsdale. Start
    Lecture (ppt, slides 1-24):  1/page.
    Figures (xls): Fig9-1, Fig9-4, Fig9-17, Fig9-25.

     

    Homework/Lab Chap 9:
    o    Ragsdale Chapter 9: Problems 14, 17, 18, Case 9.1, Case 9.2.
    o    HMWK8: CASES 9.1 and 9.2. Due Friday, 10/19 !!!
    o    HMWK8a CASE9-2.XLS (data/xls).
    o    HMWK8b CASE9-1.XLS (data/xls).


    11/25 Friday, No Class, Thanksgiving Day Recess: Enjoy/Celebrate our Bounty/Blessings !!!

    Week 12/13:    Regression: Multiple Regression

    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3/4/5/6: Done/Review.

    Ragsdale Chapter 9, Regression Analysis Ragsdale. Finish/Review

     

    Homework/Lab Chap 9:
    o   Finish HMWK8: Due Friday11/19.


    Week 13/14/15


    Readings:

    o   Math/Stats: Done/Review.

    o   Ragsdale, Chapter 1/2/3/4/5/6/9: Done/Review.

    Ragsdale Chapter 12: Introduction to Simulation Using Crystal Ball (OR @Risk) -- Using RSP (see below)!!!
    ·         New Version of Chapter 12!!! RSP Chapter 12 (55 page pdf: 8 M).
    ·         Lecture (pdf): 1/page.
    ·         RSP Chapter12 Figures (150k zip)

    Frontline RSP Links/Tutorials:
    ü  Risk Solver Platform (RSP) for Education background info: http://www.solver.com/monte-carlo-simulation-tutorial.htm (link)
    ü  RSP FAQs (link)
    ü  Simulation Tutorial Link: A useful complement to the MC tutorial below – perhaps review this first (???). Follow the trail…..
    ü  Monte Carlos Simulation Link: This one is crucial – be sure to follow the “trail” at end of each page !!!
    ü  Risk Analysis Tutorial Link: Follow the trail ….
    ü  Optimization Tutorial Link: This is a helpful review – but you should be beyond this by now….

     

    TH FINAL Readings: TH FINAL READINGS (PDF Portfolio)

     

    Homework/Lab Chap 12:
    ·         Answer Questions 3, 7, 12, 15, 22, 23, Case 12.1, Case 12.2.

    HMWK9 (Chapter 12): to be determined.


    IF THERE IS "Spare Time" (NOT likely):    Class Choice !!!


    1.      Readings: Ragsdale Chapter 7: Goal Programming and Multiple Objective Optimization.

    ·         Lecture (pdf): 1/page.

    ·         Figures: Chapter 7 Figures (zip: 56k)

    Homework/Lab Chap 7:

    o   Answer Questions 10, 11, 15, , 18, 20, and CASE 7.1.

    o   Homework # x: Chapter 6, Question zzz.

    2.     Readings: Ragsdale Chapter 8: Nonlinear Programming.
    ·         Lecture (pdf): 1/page.
    Homework/Lab Chap 8:
    o   Answer questions 3-5, 9, 16, 18, 19, 24, 25, 26, 31, Case 8.1 and Case 8.2.
    o   Homework # x: Chapter 8, Question zzz.  

    3.      Readings: Ragsdale Chapter 15: Decision Analysis.
    ·         Lecture (pdf): 1/page.
    Homework/Lab Chap 15:
    o   Answer Questions 7, 8, 10, 11, 16, 19, 25, 26 and Case 15.1.
    o   Homework #x: zzz.


    Week 15:


    Final Exam Review; Student Evaluations.

    TH FINAL READINGS|Files

    * For sure:The use and abuse of scenarios (pdf/LINK).

    * For sure: Predictive Modeling Isn't Magic (pdf/LINK)

    *Possibly: McKinsey Global Survey Results: The challenges ahead for supply chains (pdf/LINK)

    *Possibly: McKinsey Quareterly: Reshaping IT for Turbulent Times (pdf/LINK)

    * Case 4-1 Template (xlsx/LINK).

     

    ALL HOMEWORKS ARE DUE !!!

    12/16 (Wed) Last Day of Classes!!!
    12/14 TH FINAL||XC LABS: 2-5, 7-9:30  


    12/22 CUMULATIVE TH FINAL EXAM is DUE: Wednesday, 12/21, 12:45-2:45.

    Turn in @ ENGR Hall Café!!!

    12/29  LAST DAY GRADES ARE DUE