B6015: Decision Models
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Need help with Excel's Solver: Check out this page: SolverFAQ
Crystal Ball Software: As described in the syllabus, the course will use a piece of software called Crystal Ball version 2000. The software will be distributed to the students in class. We will start using it in class in Lecture 9. If you go to the bookstore you might see Crystal Ball Version 4.0 (an earlier version that does not work with Office 2000). That version is there for students of a different course (Exec MBA - B7015). Do not buy Version 4.0 from the bookstore!
Didn't get a readings book? There should be extra copies in 208 Warren.
Getting started with Solver: To get started using solver, simply go to Excel and then choose Tools|Solver. If Solver is not there, then you will need to go to Tools|AddIns and check off "Solver Add In". Then click OK and go back to the Tools menu. Now solver should be there. Check the SolverFAQ file for additional help.
Article from WSJ on decision models in the airline industry: wsj-article.pdf
SolverTable can be downloaded here. NOTE: If you cannot get SolverTable to work on your computer, then you will have to resolve the problems as we usually do (go to solver, hit solve). It is not absolutely essential that you get SolverTable working.
Adobe Acrobat Reader: All lecture notes on this web page are saved in PDF format. They can be viewed and printed using Adobe Acrobat Reader (To download click here and follow the instructions.)
ljr@urbitran.com |
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Office Hours: Tues & Thurs 2-3pm |
jm531@columbia.edu |
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Office Hours: TBA |
This course provides an introduction to computer-based models for decision making. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing. Applications will include production planning, supply chain management, foreign exchange and commodity trading, asset-liability management, portfolio optimization, corporate risk management, and yield management, among others.
The aim of the course is to help students become intelligent consumers of these methods. To this end, the course will cover the basic elements of modeling --- how to formulate a model and how to use and interpret the information a model produces. The course will attempt to instill a critical viewpoint towards decision models, recognizing that they are powerful but limited tools.
The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces. Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked "experts only." The rise of personal computers, friendly interfaces (such as spreadsheets), and large data bases has made modeling far more accessible to managers. Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.
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The textbook is available at the Columbia Bookstore. A readings book will also be handed out the first day of class with a Crystal Ball disk. The manual for Crystal Ball is available on that disk. The text is also on reserve in the business school library.
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We will use spreadsheets fairly extensively throughout the course. In the lectures we will refer to the Excel 97 spreadsheet package for Windows 95. This spreadsheet has extensive optimization capabilities built in. Crystal Ball is an add-in for Excel which makes it much easier to run simulations in a spreadsheet.
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There will be two homework assignments that will be assigned during the course. The homeworks are individual assignments, and are designed as practice for the final exam. The main case case can be done in groups of five or less and is due Wednesday, October 18 at 5:00 pm. In addition for many of the class sessions, you will be asked to prepare a case for discussion in class.
The readings book has a set of practice problems. Many of these practice problems were based on past midterm and final examination questions. Some spreadsheets (in Excel .XLS format) related to these problems can be downloaded at the bottom of this page. The TA will go over the solutions to selected problems during the Friday review sessions or during office hours. Additional practice problems can be found throughout the W&A text.
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There will be four hours for the final exam, although most students should be able to finish in three hours or less. The exam will be open book and open notes. A common final exam will be used for all sections of the course. Notebook computers will be needed in the final exam. Think of the computer as a fancy calculator: it is useful for checking one's work and for some questions the computer will be needed to get final answers. However, the majority of the points on the exam will be given for correct methods and analysis; correct numbers will only count for a small portion of the points. Printing will not be allowed in the final exam. Any answers from the computer must be transcribed into the answer book.
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The course grade will be based on a weighted average of the homeworks, main case, and the final exam. The weights will be 20% for the homeworks, 30% for the main case, and 50% for the final.
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Notebook PCs will be used in this course. It is recommended that students bring their notebook PCs to the Friday review sessions for software-related questions. Students should bring their notebook PCs to class on Lecture 8. Also, notebook computers will be needed for the final exam.
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There will be weekly review sessions for the course. They will be held in Fridays from 1:20-2:40pm, Room TBA. The TA will go over practice problems and answer any computer related questions. It is recommended that students bring their notebook PCs to the Friday review sessions for software-related questions.
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Date | Topic | For next class | Download | |
Lecture 1 | Thu 9/07 |
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bland0.xls bland.xls |
Lecture 2 | Tue 9/12 |
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trans0.xls trans.xls staffing0.xls staffing.xls shelby0.xls shelby.xls shelby-tables.xls petromor.pdf |
Lecture 3 | Thu 9/14 |
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petromor0.xls petromor.xls shelby-ST.xls |
Lecture 4 | Tue 9/19 |
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nsc0.xls nsc.xls projfund0.xls projfund.xls projfund-with-ST.xls |
Lecture 5 | Thu 9/21 |
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plant0.xls plant.xls plant_if.xls invest0.xls invest.xls invest-ST.xls EmoryU-Article |
Lecture 6 | Tue 9/26 |
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ten-stocks.xls ten-stocks0.xls ten-stocks-with-shorting.xls ten-stocks-with-int.xls negcorrel.xls highcorrel.xls lowcorrel.xls |
Lecture 7 | Thu 9/28 |
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gold.xls gold0.xls retail.xls retail-zip-file |
Lecture 8 | Tue 10/3 |
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ret_lp0.xls ret_lp.xls |
Lecture 9 | Thu 10/5 |
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coin.xls asianoil0.xls asianoil.xls |
Lecture 10 | Tue 10/10 |
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ski0.xls ski.xls ski2.xls |
Lecture 11 | Thu 10/12 |
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merck_u0.xls merck_u.xls merck0.xls merck.xls |
Lecture 12 | Tue 10/17 |
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putnam.xls putnam0.xls premier.xls premier0.xls |
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Final Exam | 10/20: 10am-1pm Open Book, Open Notes, Bring your computer! |
SampleSolutions.pdf briton.xls nifty.xls |
# | Name | Excel Files |
ZIP | All Optimization Practice Problem Files (Zipped) | optprobs.zip |
1 | ABC Manufacturing | abc.xls |
2 | B. Hall Real Estate Investment | hall_inv.xls |
3 | Joe's Delicatessen | deli.xls and deli2.xls |
4 | Bland Brewery Graphical Solution | bland2.xls |
5 | Advertising Mix | advr.xls |
6 | Power Plant | pplant.xls |
7 | Police Scheduling | sched.xls and sched_b.xls |
8 | Ajax Shoe Company | ajax.xls |
9 | Pension Problem | pension.xls |
10 | Tax Planning | taxlp.xls |
11 | Devcor Corporation | devcor.xls and devcor_b.xls |
12 | Options Problem | option_a.xls, option_c.xls and option_d.xls |
13 | Veggie Soup | veggie.xls |
14 | Calico Cassette | ccc.xls and ccc_b.xls |
15 | Dale Distribution System | dale.xls |
16 | Hackensack Blended Whiskey | whiskey.xls |
# | Name | Excel Files |
ZIP | All Simulation Practice Problem Files (Zipped) | simprobs.zip |
1 | Express Mail Staffing | mail.xls |
2 | Bakery Department | bakery.xls |
3 | Bond Return | bond.xls |