MGS3100 Business Analysis Fall 2009 Course Syllabus

Instructor: Julie Liggett De Jong Email: mgs3100@mindspring.com Class Time & Location: 7:30 - 8:45am M/W ALC224 (08/17-12/11) Office Hours: By appointment Phone Number: 678.321.6526 (8:00 – 5:00 pm) Course Website: www.mindspring.com/~mgs3100 (schedule is updated)

Required Text Selected Chapters on Business Analysis, Second Edition, $44.00. If you buy a used textbook, make sure you get the CD that comes with it since you will be required to use Treeplan, one of the programs on the CD, for one of your projects. Prerequisites You should have satisfied the following requirements before taking this course: Course: Completion of DSc3100, Mat1070, or equivalent. Computer Skills: CSP 1-Basic micro computing skills; CSP 2-Basic micro computing

spreadsheet skills; and CSP 6-Basic word processing skills. If you need to strengthen your CSP skills, you can do so through Georgia State's eTraining site:

http://www.gsu.edu/~wwwwbt/courses/index.html

We use Excel extensively in this class, and you must have access to Excel to complete the homework assignments and projects. I use Excel in most of my lectures to demonstrate business modeling concepts and techniques, and you will need to use Excel to complete many of the homework assignments and all of the projects. I review many Excel tips and techniques during the semester, but this course is not designed to teach Excel. If you don’t have a working knowledge of Excel, you will fall behind and have difficulty with the projects and homework assignments. If you do not have a working knowledge of Excel, you should consider dropping the class now and take it only after you have acquired some basic Excel skills. Course Description & Objectives MGS3100 provides a frame of reference for using models in support of decision making in an enterprise, and introduces some commonly used modeling approaches and principles. Course topics include model components, simulation, time series and causal forecasting, decision analysis, and quality management. The course uses Excel to provide hands-on application of these techniques. Upon completion of the course, you should be able to: 1. Define basic modeling terms, including physical model, analog model, symbolic model,

deterministic model, probabilistic model, decision variable, random variable, parameter, performance measure, objective function, revenue, fixed cost, variable cost, overhead cost, sunk cost, demand, price.

2. Explain an overview of the modeling process, including types of models, data collection, analysis, and interpretation.

3. Analyze a business situation to identify revenues, costs, and other parameters relevant to the modeling process.

4. Draw an influence diagram to map the relationships between different variables of interest. 5. Build a basic profit model manually and by using a spreadsheet. 6. Perform break-even analysis algebraically and graphically, both manually and using a

spreadsheet. 7. Perform crossover analysis algebraically and graphically, both manually and using a

spreadsheet. 8. Interpret the results of breakeven and crossover analyses. 9. Compare and contrast simulation with other types of modeling. 10. Determine when simulation is an appropriate technique to use.

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11. Use a spreadsheet function to generate random numbers for use in simulation. 12. Graph and interpret simulation results. 13. Use Excel and Solver to find the “best” solution to a simple problem. 14. Define two types of forecasting: Quantitative (causal and time series) and Qualitative. 15. Forecast using simple moving averages, weighted moving averages, simple exponential

smoothing, seasonal indices, and regression methods (using a spreadsheet). 16. Be able to compute and interpret MAD (Mean Absolute Deviation), MAPE (Mean Absolute

Percentage Error), Standard Error, and R-Squared (R2). 17. Compare and contrast different forecasting methods. 18. Interpret the results of different forecasting methods. 19. Understand the basic concepts of Quality Management. 20. Understand the difference between common cause (natural) variation and special cause

(assignable) variation 21. Understand how control charts can be used to help manage by exception 22. Create control charts for attribute and variable measures 23. Understand the “dollar value of information.” 24. Define the terms: Decision Alternative, States of Nature, Payoff. 25. Compute payoff matrix for a given business scenario. 26. Define the criteria for choosing the best decision. 27. Compute Expected Value (EV), EV of Perfect Information (EVPI), and EV of Sample

Information (EVSI). 28. Construct and solve a decision tree by assigning payoffs to branches, pruning of branches at

decision nodes, and assigning probabilities and calculating expected values at chance nodes. 29. Use Bayes’ Theorem to combine sample data with prior probabilities and incorporate these

“posterior” probabilities into a decision tree analysis. Tests There are three (3) tests and a cumulative departmental final exam. The tests consist of multiple choice, short problems, and short discussion questions and are based on assigned readings and classroom presentations and discussions. Partial credit will be given for short problem and short discussion questions. To ensure you receive the maximum amount of points on a test, be sure to show your work for the short problem questions. Course policies regarding tests are shown below: • No-one can leave the classroom after the test has been distributed. If you leave the

classroom for any reason, I will collect your test and you will not be permitted to resume working on it when you return.

• Personal items such as purses, backpacks, books, etc. are not allowed on the desktop or chairs and must be placed on the floor during the test.

• Computers, cell phones, PDAs, and other electronic gadgets are not permitted during tests and should remain in your backpack, book bag or purse. A simple (no memory) calculator is permitted, as necessary.

• Cell phones and pagers must be turned OFF (do not set to vibrate) and must remain in your purse or book bag for the duration of the test.

• If possible, spread out during the tests so there is at least one empty chair between you and the next student. Keep your eyes on your test. If I notice your eyes shifting around during the test, I will ask you to move to another location.

• You can use one page of notes (front and back) and 2 sheets of scratch paper during the tests. You must turn in your notes and scratch paper with your test.

Test dates are shown on the course syllabus and posted on the course website. If you have an extenuating circumstance or conflict with any scheduled test, you must discuss the conflict with me as soon as possible but no later than two weeks prior to the test date. I do not give make-up tests except for extenuating circumstances, so check the course schedule now and plan accordingly.

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Projects You will complete three projects during the semester. You are allowed and encouraged to work with a partner on two of the projects, and you will work alone on one of the projects. If your partner drops the class or does not help with the project, you are still responsible for completing the project in its entirety– so choose your partner wisely and be sure to complete the partner assessment form (posted to the website) when you complete the project. Printed versions of projects must be legible and neat. Any document you submit should use at least 10 point font. If you can not get an entire worksheet printed on one page, don’t make it smaller to the point of being illegible to force it to one page (this is useless to me). Instead, print the worksheet to multiple pages, properly formatted with column and row headings. Do not use more than 2 colors in your worksheets and if you use color only use pastel colors. Please do not include report covers. I will deduct points for printouts that are hard to read or that do not have row or column headings. The projects are due at the start of class on the dates they are due. We will review the project solutions in class, and I don’t accept late projects. See the course website for detailed project guidelines. Firm project due dates are included on the course syllabus and posted on the course website. You are obligated to participate fully in each project. With email, instant messaging, cell phones and the internet, there is no reason why partners cannot work together on projects. You will evaluate your partner’s performance for each project on the following elements:

1. Provided meaningful input in a timely fashion. 2. Provided meaningful input to the project deliverables. 3. Accomplished project tasks as agreed upon during project discussions. 4. Showed up for team meetings. 5. Showed up for team meetings prepared to work. 6. Participated fully in team meetings (wasn’t on the phone or the internet for unrelated

reasons, didn’t leave early or arrive late) 7. Was a team player (tried to accommodate potential constraints and was cooperative) 8. Made an honest effort to contribute to the project.

I will field questions about assignments until NOON the day before an assignment is due. If you have a problem with any assignment, you can send me an email with a detailed explanation of your question / problem. Be sure you have first consulted your textbook and your notes before you email me because I will not respond to your questions if it appears you have not looked for the answer in the textbook or the classroom notes. I post hints on the website for each project, and you should use these hints to validate the correctness of your models. If your model does not calculate these values, then there is a problem with the model and you should review it carefully to find the problem and fix it. Do not ask me to tell you what the problem is. Participation There is a direct correlation between your success in this class and your committed participation in class activities. To encourage your commitment to class activities, I allocate 9% of your grade to participation and award participation points for attendance, homework assignments and quizzes. Attendance I take attendance at the start of every class. If you leave early or arrive for class after I have taken attendance, you may be considered absent.

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My attendance policy makes allowances for excused absences and up to three notified absences:

• Excused absences: If you are ill, you must bring me a doctor's excuse if you want the absence to be excused.

• Notified absences: You are allowed up to 3 "notified" absences without penalty. If you are unable to attend class or if you must leave class early, you must notify me at least 30 minutes prior to class. Notifying me regarding an absence after class is not a notified absence.

Even if you have an excused or notified absence, you are still responsible for assigned homework, project work or for any lecture material covered during the class you missed. Homework Homework is designed to enforce the concepts taught in class and will be assigned throughout the semester. We will review the homework at the start of class on the day it is due, so you should bring two copies of it to class - one copy to submit at the start of class and the other copy to review in class. I do not grade homework assignments but assign participation points based on the effort you demonstrate to complete it. In addition to the homework shown on the website, I may post additional homework assignments to help prepare you for upcoming tests. These homework assignments will include questions similar to ones you might encounter on a test and are used to help you assess your readiness for a test. The course website details each homework assignment and shows their tentative due dates. These dates are provided as a guideline and may be subject to change. I will announce in class the firm due dates for homework assignments and adjust the website as necessary. I do not accept emailed homework, unless you submit it early in anticipation of a notified or excused absence. I do not accept homework for unexcused absences nor do I accept late homework assignments. Quizzes I may conduct short quizzes at the start of class over assigned reading material or information covered in the previous class period. If you are absent or late, you will not receive any credit for these quizzes. Communications • Email: I email announcements and other information to your Georgia State University

email address. To stay informed about critical course updates and notifications, check your GSU email regularly. I won’t initiate email to alternate email address nor will I contact you if an email gets rejected because your mailbox is full, so check your email often and keep your inbox clean. You can send me email from any email account you wish, but make sure your name is clearly identified on the email.

• Course Website: I post all lecture notes, project write-ups, homework assignments and other course materials to the course website. You are responsible for downloading these materials and for keeping track of assignment due dates.

Academic Honesty/Honor Code I expect your behavior to be consistent with College and University policies on academic honesty and treatment of members of the University community. Cheating, plagiarizing, submitting the same material for credit in more than one class, and other deceptive conduct with respect to student work output will be dealt with according to the University Policy on Academic Honesty. Academic misconduct will be handled in accordance with College and University procedures.

Examples of academic misconduct are:

1. Cheating on Examinations: Cheating on examinations involves giving or receiving unauthorized help before, during or after an examination. This may include the use of notes, text, or "crib sheets" during an examination (unless approved by the instructor), or sharing

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information with another student during an examination. Other examples include intentionally allowing another student to view one’s own examination and collaboration before or after an exam if such is forbidden by the instructor.

2. Plagiarism: Presenting another person’s work as one’s own. It includes paraphrasing or summarizing the works of another person without acknowledgment, including the submittal of another student’s work as one’s own. Plagiarism frequently involves a failure to acknowledge in the text, notes, or footnotes the quotation of paragraphs, sentences, or even a few phrases written or spoken by someone else. The submission of research completed papers or projects prepared by someone else or the use of research sources gathered by someone else when forbidden by the instructor is considered plagiarism. Failure to acknowledge the extent and nature of one’s reliance on other sources is also a form of plagiarism. Other forms may be unique to an individual discipline or assignment. Misrepresentation of work includes, but is not limited to, presenting material that was prepared for another class or outside work as an original work product that was produced for this class. All work turned in for this class is represented by the student(s) to be original material prepared in fulfillment of this course’s requirements.

3. Unauthorized Collaboration: Submission for academic credit of a work product, or a part thereof, represented as being one’s own effort, which has been developed in substantial collaboration with or without assistance from another person or source (or to provide such assistance).

4. Falsification: Misrepresenting material or fabricating information in an academic exercise or assignment.

5. Multiple Submissions: Submitting substantial portions of the same work for credit more than once without the explicit consent of the instructor(s) to whom the material is submitted. In cases of cumulative work or in a sequence of courses, use of prior work may be desirable or required; therefore the student is responsible for indicating in writing that the work is cumulative in nature.

Any and all cases of fraud, plagiarism, misrepresentation of work, or any action that violates the University Policy of Academic Honesty or other University policies will result in disciplinary proceedings being held against the student(s) involved. Group members should be aware that by placing your name on a group project you are representing ALL of the material included.

Accommodations for Special Needs & Requests I make every effort to accommodate students with disabilities who have validated their claim through the Office of Disability Services as well as any conflicts that may arise due to religious holidays or the Regent’s test. Students with disabilities should notify me immediately, and students with schedule conflicts should notify me at least 2 weeks prior to the event. Classroom Etiquette Electronic devices, such as Palm Pilots, Pocket PCs, recorders and cell phones, should be turned off and stored in your briefcase, purse, book bag, backpack, etc. You may be permitted to use your laptop, subject to the conditions in the “Classroom Computer Use” section of this Syllabus. Drinks are allowed, but food is not permitted during lectures. Please do not talk, whisper with your friends, pass notes back and forth, sleep, put your head down on the desk, or engage in any other rude behaviors during lectures.

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Classroom Computer Use To facilitate learning and to enhance classroom lectures. I permit the use of computers during lectures, subject to the following conditions:

• Computers may be used when I am demonstrating various Excel models/techniques in class. But computers must be closed and in standby or hibernation mode when I am lecturing about a concept or principle and referencing mostly PowerPoint slides.

• The only application that you are allowed to operate on the computer during lectures is Excel (no email, instant messaging, games, internet explorer, etc.).

• Wifi or network access must be turned off. You should not be logged into CatChat.

A Computer Abuse feedback form is posted on the Course website home page to collect any complaints about any student's abuse of this privilege. If I receive one legitimate complaint from any student or if I observe any abuses of this privilege, I may disallow all student use of computers in future classes.

Grading Your grade for the semester is based on:

Scheduled Tests 70% Participation 9% Projects 21%

Letter Grade Percentage

NOTE: I do not round up grades. For example, if you make 89.9% for the semester, your final grade for the semester will be a B+; if you make a 59.9%, you will make an F.

A 94% – 100% A- 90% - 93.9% B+ 86% - 89.9% B 82% - 85.9% B- 78% - 81.9% C+ 74% - 77.9% C 70% – 73.9% C- 66% - 69.9% D 60% – 65.9% F < 60%

MGS3100 Business Analysis Spring 2009 Schedule

This schedule provides a general plan for the semester and deviations may be necessary. The schedule on the MGS3100 course website will be updated to reflect up-to-date changes, additions and firm assignment due dates.

Date Description Due

8/17 Course Introduction & Overview

8/19 Ch 1: Introduction to Modeling Homework 1 & 2 8/24 Ch 2: Spreadsheet Modeling 8/26 Homework 3 8/31 9/02 9/07 Labor Day (GSU is closed) 9/09 Ch 9: Simulation (p153-164, 167-174) Homework 5 9/14 9/16 Homework 6 9/21

9/23 Project 1: Profit Model Homework 7

9/28 Test #1 (Ch 1, 2, 9)

9/30 Ch 13: Forecasting 10/05 10/07 10/12 Homework 8 10/14 10/19 Ch 8: Decision Analysis Project 2: Forecasting Model 10/21 Test #2 (Ch 13) 10/26 10/28 Homework 9 11/02 11/04 Homework 10

11/09 Ch 15: Quality Management Homework 11 11/11 11/16

11/18 Ch 11: Implementation Project 3: Decision Analysis Model Homework 12

11/23 Test #3 (Ch 8, 15 & 11)

11/24 – 11/29 Thanksgiving (GSU is closed) 11/30 Review for Final (time permitting) 12/02 Review for Final (time permitting) 12/07 FINAL EXAM 8:00 - 10:00 am 12/16 Submit grades to Go Solar (me) 12/21 Grades available for students