Weekly Homework: For the chapters to be read and HW assignment visit weekly the Course Information site.
I am looking forward to working with you and hope that you will find the course both enjoyable and informative.
To search the site, try Edit | Find in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. "analytical geometry" or "probability" If the first appearance of the word/phrase is not what you are looking for, try Find Next.
- Welcome Message
- Tutorial Help for This Course
- Course Description and the Prerequisites
- Course Structure, Ingredients & Learning Objects
- Student To Student:
Your Fellow Students' Opinion and Advice
- This Course Relevancy's to Your Other Courses
- The School's Mission and the Course Objectives
- Learning Style for this Course
- What Math and Stat Do I Need for this Course?
- Required Textbook, & Computer Package
- Course Requirements, Grading Criteria & System
- Instructions for Homework Assignment
- Homework Assignment to Do Before Each Class Meeting and Sample Tests
- Get Involved: Join Discussion/Newsletter Lists
- Computer-assisted Learning: WinQSB Package
- Business Keywords and Phrases
- Compendium of Web Sites Review
- Books’ Review
Tutorial Help for This Course
You may have to seek tutorial help to improve your Geometry, Algebraic computational and Statistical Problem Solving skills from the Academic Resource Center (ARC) at Room AC116. Professor Yoosef Kkhadem (email@example.com), [(410) 837-5385] is the Coordinator at ARC. He is knowledgeable, and has both experienced and patient. We are fortunate he is the tutor for this course.
A Fact: My past students, who utilized this tutorial service throughout the semester, improved their course grade substantially.
Dear StudentWelcome to: Business Economics and Forecasting: Quantitative Decision Technologies for the MBA
I look forward to working with you and hope that you will find the course both enjoyable and informative.
In our increasingly complex world, the tasks of the decision-makers are becoming more challenging every day. The decision-maker must respond quickly to events that take place at an ever-increasing speed. A decision-maker must incorporate an often bewildering array of choices and consequences into his or her decisions.
The Web site for this course was designed and created for you. No one need be ashamed of what he or she does not know or how long it takes to master new information. Learning by the Web-enhanced course material can be self-paced and non-judgmental. Using advantages of this technology to expand learning opportunities is especially crucial because we live in a time when learning is a necessity and no longer a luxury.
At one time, it was sufficient for a firm to produce a quality product. As competition grows in today's market, simply producing a quality product is not sufficient. Today, a firm must produce a quality product at less cost than its competitors and simultaneously manage inventory, warehouse space, procurement requirements, etc. In the future, still greater demands will be placed upon decision-makers.
Many tools and techniques help individuals and organization make better decisions. This course provides decision makers and analysts the tools that provide a logical structure to understand the mathematical techniques to solve formulated (i.e. modeled) problems. The primary tools are Optimization and Statistical Analysis, which provide structure and value in helping define and under-stand a problem. In this course you will learn quantitative methodologies to determine optimal strategic solutions to described problems. Personal Computers allow application of these techniques even in the small business environment. Finally, a clear understanding of a general approach to problem solving enables you to use other applied decision-making and planning techniques in this course.
Since the strategic solution to any problem involves assumptions, it is necessary to determine how much the strategic solution changes when the assumptions change. You learn this by performing "what-if" scenarios or sensitivity analysis.
Preparation for management, whether it is related to technology, business, production, or services, requires knowledge of tools, which aid in determining feasible and optimal policies. In addition to communication and qualitative reasoning skills, enterprises wishing to remain competitively viable in the future, need decision support systems to help them understand the complex interactions between all components of an organization's internal and external system. Such components are found in environmental design, transportation planning and control, facilities management, military mission planning and execution, disaster relief operations, investment management, and manufacturing operations.
An organization, like other organisms, must keep itself in a state of homeostasis--subsystems regulate one another so none of the parts is ahead or behind the system as a whole. This interaction is not trivial; mathematical modeling assists in understanding these fundamental relationships. OR/MS/DS/SS concepts focus on communication of results and recommended action. This helps build a consensus concerning the possible outcomes and recommended action. The decision-maker might incorporate other perspectives of the problem, such as culture, politics, psychology, etc.
This course overviews the major quantitative modeling tools successfully used to model the complex interactions described above. Although not exhaustive, this course provides framework for further study. The following tools will be studied: analytically based solutions to math models, optimization, regression analysis, and forecasting techniques.
Just like you, most of your classmates are employed full time. They are engineers, doctors, lawyers, and other professionals. You and your classmates want to learn the business side of their professions. It is important to learn the language of the managers to overcome communication barriers. For example, engineers will learn how to translate "precision" into extra dollars in earning/saving.
You may like to join any of the following (free of charge) Discussion/Newsletter List:
- Decision Support System News
- AllStat Discussion List
- Econometric Discussion List
- Timeseries & Forecasting Discussion List
- Simulation Newsgroup
- Finance Newsletter
- Economics and Finance Newsletter
- Real Economics mailing list
- Forecasting Discussion List
- Mathematics and Computing Discussion List
- Simulation Discussion List
- Numerical Analysts Digest
- Survey Research Methods
- Industrial Economists Discussion List
- Optimization Online
Upon completion of this course, you may find that it "validates" what you think about making good strategic decisions and causes a peace of mind. The contents of this course will help you to systematize what you already know from your own professional experience.
For my teaching philosophy statements, visit the Web site On Learning & Teaching.
Feel free to contact me via phone, faxes, or email. There is a lot of material to cover, so let's start now!
Course Description and the Prerequisites
Basic and advanced skills of applied regression methodology, optimization, and strategy. Statistical and analytical techniques are applied across traditional business disciplines to develop the technical competencies necessary for managers in today's competitive global business environment.
Prerequisites: The prerequisites are Both, the ECON504, and the OPRE504 (Business Statistics) OR their equivalents. I suggest refreshing the basic topics covered in these two courses during the first week. Thank you.
Course Structure, Ingredients & Learning ObjectsCourse Structure: Your course materials are divided into eight ordered sections:
(For your weekly homework, visit the Homework Assignment section on this site).
- The Foundation of Decision-Making Process: When one talks of "foundations", usually it includes historical, psychological, and logical aspects of the subject.
- Quantitative Tools for Solution Algorithms: Our high-school math review, including Linear Algebra and Calculus. For probability refresher visit Different Schools of Probabilities, and Probability Lessons.
- Deterministic Modeling: Linear Optimization Course materials in this part will be presented in the context of a production and operations management applications with economics implications of the optimal decision. Our case study is the decision problem of allocating scarce resources among competitive means.
- Probabilistic Modeling Tools: Probability and statistics for modeling risky decisions.
- Analysis of Risky Decisions: Applications to optimal portfolio selections in investment decision together with its risk assessment are provided.
- Unification of Probabilistic and Deterministic Modeling: It presents the theory of the Two-person Zero-sum games with an illustrative linear optimization numerical example. Applications to optimal portfolio selections in investment decision together with its risk assessment are provided.
- Business Forecasting and Regression Analysis: In making conscious decisions under uncertainty, we all make forecasts. We may not think that we are forecasting, but our choices will be directed by our anticipation of results of our actions or omissions. This lecture is intended to help you do a better job of anticipating and hence a better job of managing the uncertainty by using effective forecasting techniques.
Course Ingredients: The Course Ingredient Components Include:
- A set of Technical Keywords and Phrases,
- A Collection of Problem-Solving Methodologies, and
- Economics Interpretations, Their Implications and Applications for the Decision-Maker
Learning Objects: There are varieties of sources in helping you to understand the foundation of decision making. Each of the following items provides you with different perspectives on our weekly topics.
- Textbook: Your textbook is the main source reading and the exercise before each class meeting.
- Lecture Notes: Lecture notes are not your textbook substitute. They are designed to meet your needs, as I perceive while lecturing.
- Live Lectures & Handouts: The lectures are the bases of your interactions as a learning process, with your classmates and me.
- Computer Assisted Learning: My teaching style deprecates the 'plug the numbers into the software and let the magic box work it out' approach. The software is an effective tool for experimentation in serving your needed "hands on experience" for understanding the economics implication of the concepts for yourself.
I am sure that your careful readings and effective use of the above learning objects, provide various perspectives, create a deep understanding of the topic, together with the wholeness and manifoldness of this course.
Required Textbook, & Computer PackageRequired Textbook: Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making,
by Lawrence J., Jr., and B. Pasternack
John Wiley & Sons, 2nd edition, 2002, ISBN: 047126332 X.
A copy of the textbook is available in Langsdale Library at Reserved Circulation desk (under call no. HD 30.25 L39 2002). You must have a valid student ID with you to use the book.
The text is a reasonably comprehensive text in its treatment of various Management Science methodologies. A good many of the examples in the book are illustrated using Excel add-ins for computation purposes. We will however, make use of WinQSB which is commercial grade stand-alone software that also happens to be reasonably compatible with the text.
With the purchase of this book you will also receive the WinQSB Decision Support Software for MS/OM. The WinQSB is the Windows version of the QSB (Quantitative Systems for Business) software package runs under the CD-ROM Windows. There is no learning-curve for this package, you just need a few minutes to master its useful features.
The WinQSB is available on the UB network: You may use the computer lab located at the basement of the Business Center to do your WinQSB computer homework. To access any WinQSB modules: (1) Click on START, (2) Click on All Programs, (3) Click on WinQSB.
The WinQSB Decision Support Software is also available separately from the John Wiley & Sons publisher, ISBN 0-471-40672-4, 2003.
Your textbook is available at the UB Bookstore, (410) 837-5604.
The textbook chosen for this course is excellent. It is a modern, well-written and clear account of the issues facing decision makers doing business. It is easy to read, has broad coverage and is eminently suitable for self-study with many applications.
Notice that the Topics Web site units contain my weekly lecture notes. The purpose of these units is not to replace your textbook. Rather, its purpose is to provide you with other perspectives on the same topics to enhance your deep understanding.
Recommended Readings: I strongly recommend a reading of the following books:
Linstone H., Decision Making for Technology Executives: Using Multiple Perspectives to Improved Performance, Artech House, SBN: 0890064032, 1999. A copy of this book is also available as "a reserve item" for your use upon request at the Langsdale Library.
Mingers J., and A. Gill, (Eds.), Multimethodology: The Theory and Practice of Integrating Management Science Methodologies, Wiley & Sons, 1997. A copy of this book is also available at the Langsdale Library.
Further Readings: There are some Decision-Making textbooks that you may find helpful. They are located at the Langsdale Library:
- Decision sciences: An Integrative Perspective
By C. Kunreuther, Paul J.H. Schoemaker
Cambridge University Press, 1993
Location: HD30.23 .K46
- Management science: An Aid for Managerial Decision Making
By M. Austin, James R. Burns
Macmillan Press, 1995
Location: T56 .A87
- Management Science: Decision Making through Systems Thinking
By Hans G. Daellenbach, Donald C. McNickle
Macmillan Press, 2005
Location: T57.6 .D32
- Management Science for Decision Makers
By Larry M. Austin, Parviz Ghandforoush
West Pub. Co., c1993
Location: T56 .A88
- Management Science for Decision Makers
By Larry M. Austin, Parviz Ghandforoush
West Pub. Co., 1993
Location: T56 .A88
- Management Science Knowledge: Its creation, Generalization, and Consolidation
By Arnold Reisman
Quorum Books, 1992
Location: T56 .R542
- Operations research: A Fundamental Approach
By James E. Shamblin, G. T. Stevens, Jr
Location: T57.6 .S48
- Operations Research: Applications and Algorithms
By Wayne L. Winston
Duxbury Press, 1997
Location: QA402.5 .W54
This Course Relevancy's to Your Other Courses
Today's business decisions are driven by data. There is an amazing diversity of data in all aspects of our lives and in business. Business managers and decision makers are encouraged to justify their decisions based on data. MBA graduates with strong quantitative skills are in demand. This demand increases as the impetus for model-based decisions strengthens and the amount and accessibility of data increases. The quantitative toolkit is developed and enhanced at all stages of your career.
Every course in the MBA program deals with making good business decisions. Each course seems like a scattered piece of a puzzle. This course brings the pieces together by means of a unified, systematic, focused approach to decision-making, that is, Quantitative Decision Technologies. It is magnificent to recognize the unity of various business concepts in the MBA Program.
ACCT 640: Accounting for Managerial Decisions: This course integrates systems analysis, design and control for general decision-making in accounting systems. These systems use the General Structural Decision-Making Process for performance measures, cost of modeling, evaluation, and interactions among accounting system components.
Management is aware that the value of firms is the ultimate measure of company performance. For example, management has been using at least of the six common accounting measures as an operating guide, however, the linkage between operational planning and value is vague and complex and, therefore, difficult to apply. Managers need to have clear targets and performance measures to track progress.
ECON 640: Global and Domestic Business Environment: In ECON650 we learn the "soft side" of Quantitative Decision Technologies. This is the human side of decision-making, which draws on the philosophy of decision-making, politics and psychology. This perspective of Quantitative Decision Technologies is important for the decision-maker. It is important for a decision-maker to establish goals to implement the decision that best fits the business environment. ECON650 also asks how an organization evaluates itself to make decisions about downsizing (decreasing current structure) and expanding (increasing current structure), organization evaluation and developmental processes.
INSS 640: Information System Technology: Three stages of the decision-making process:
- Systems analysis: understanding the problem
- Systems Design: searching for a "good strategic solution"
- Updating the solution: controlling the dynamic nature of information systems
The general approach to the decision-making process in ECON650 prepares students to understand Information Systems Technology from a broad perspective.
MGMT 640: Strategic Innovation and Renewal: ECON650 covers two types of decision-making: Personal and Public. Factual data and scientific tools are used to make "good, strategically defensible" decisions. This course helps you become a responsible decision maker to the shareholder or stakeholder via objective performance assessment and evaluation processes.
MKTG 640: Organization Creation and Growth: The decision-making process in marketing is about the development of new goods and services and technology. We study a manufacturing company that decides whether to develop a new product. Students learn a structural decision-making process to decide whether to hire a marketing consulting firm, the reliability of the consulting firm recommendation and other components for making a good marketing decision.
Course Requirements, Grading Criteria & System
Course Requirements & Grading Criteria Readings & homework 20% Computer assignment 20% Mid-term examination 30% Final examination 30%
Your assignments will be collected and graded. Your homework assignment consists of two parts:
You do not have to type your homework assignments; you may save some times in spending more on learning than typing. In this case please, please hand-in your eligible homework on time.
|90 - 100||80 - 89||70 - 79||65 - 69||60 - 64||otherwise|
As you used to do experiments in physics labs to learn physics, computer-assisted learning enables you to use any online interactive tools available on the Internet to perform experiments. The purpose is the same, i.e., to understand managerial and economics concepts such as the sensitivity analysis in your decision-making, by using applets which, are entertaining and educating.
The appearance of computer software, Java Applets, Online computation is one of the most important events in the process of teaching and learning concepts in model-based decision making courses. These tools allow you to construct numerical examples to understand the concepts, and to find their significance for yourself.
Computer-assisted learning is similar to the experiential model of learning. The adherents of experiential learning are fairly adamant about how we learn. Learning seldom takes place by rote. Learning occurs because we immerse ourselves in a situation in which we are forced to perform. You get feedback from the computer output and then adjust your thinking-process if needed.
In this course we will use the following WINQSB's modules: Linear and Integer Programming module, Network Modeling module, Decision Analysis module, and Forecasting and Linear Regression module
Your examination has the similar format as the sample test, consisting of two parts.
Exams are 2-hours long, in-class, closed book and closed-notes. You are not allowed to use my Lecture Notes, nor your submitted Home-works. However, you are allowed to use your own Pre-Prepared Summary-Sheets for Exam. Read carefully the Summary-Sheets for the Exam on this page, while preparing one before taking the test.
When taking your exam, present your work in detail. This will allow me to give partial credit.
The exams are not in any particular format so expect both standard numerical problem solving and conceptual type questions. The exams will test your understanding of the material covered in this course. The main purpose of taking the examinations is to find out how reflective your mind is in answering a set of questions correctly. The objective is to maximize the number of correct solutions, subject to a limited time constraint (a 2-hours session). Samples of past exams are available on this Web site for inspection.
Click here to see a Summary-sheet prepared by one of your classmates. If you think you have prepared a better one, kindly send it to me via an attached email. Thank you.
Since you are allowed ONLY to use your own Pre-Prepared Summary-Sheets for Exam. Read carefully the Summary-Sheets for the Exam on this page, while preparing one for the test.
To prepare yourself for exams, review all topics, homework assignment and lecture notes.
How to Prepare Your Summary-Sheets for the Exam: Your mind is what your brain does. Self-consciousness is self-knowledge. The process of becoming conscious distributes what you know throughout your brain via the brain neural network branches, unlike memorizing, which connects only two nodes of the network. The availability and expansion of what you know throughout your neural network branches make the information processing of your brain accurate. Thus, you possess a reflective, brilliant knowledgeable mind.
The process of making your own summary-sheet is the idea of contemplating the topics you have learned. By definition of esthetics, the longer you contemplate on what you have learned the more beautiful the subject mater becomes. Beauty and contemplation is distinguished from other mental manifestations; contemplation is the result of the perfect apprehension of relations and topics.
Use the following Guide to prepare your Summary Sheets:
The above process helps to crystallize your mind to be reflective and responsive to questions posed about topics you've learned in this course and reinforces the topics in your mind.
To view a Summary-Sheet for the first test, prepared by one of your classmates, click here. If you think you have prepared a better one, kindly send it to me via an attached email. Thank you.
What Math and Stat Do I Need for this Course?Don't Panic, high school math (Word.Doc) will suffice! There will be some refreshers.
The following sites will help too:
Our high-school math review, including Linear Algebra and Calculus, Math for Economics, and Calculus. I do recommend refreshing your knowledge about solving systems of equations by visiting Solving System of Equations.
For probability and statistics refresher visit Different Schools of Probabilities, Probability Lessons, and A New View of Statistics.
The probability applications we do use in this course are at Expected Value and Variance, and Multinomial Distributions Web sites.
Homework Assignment to Do Before
Each Class Meeting and Sample Tests
This part of the Course Information is updated weekly; therefore before doing your homework please make sure re-visiting this part.
Please read and follow the Instructions for your homework assignment. Thank you.
We will proceed in the following sequence (Not a weekly-schedule of topics).
After you did your reading assignment, then write a 2-page essay (format-free) entitled: "What is Applied Management Science?" Your essay should, among others, address some of the following questions:
Review and then perform some experiments on the following two topics, then write a short report for each:
Compound Interest Analysis
Break-Even Point Analysis
The Algebraic Method involves solving many linear systems of equations. When the LP problem has many variables and constraints then solving so many systems of equations by hand become very tedious and even for very large-scale problems it is an impossible task. Therefore, we need the computer to do the computations for us. One of the algorithmic and computerized approaches is The Simplex Method, which is an efficient and effective implementation of the Algebraic Method. There are well over 400 LP solvers, all of which using the Simplex method, including your software. Upon solving the LP problem by computer packages, the optimal solution provides valuable information, such as sensitivity analysis ranges.
As you know by now, this course has three ingredients: A set of Technical Keywords and Phrases, A Collection of Problem-Solving Algorithms, and Managerial and Economics Interpretations, and the most important of all their Implications and Applications to Business Decision-Making. As I pointed out this course is not about say, linear programming (LP), we are using LP as an application and as a tool. Since you have mastered, the Keywords & Phrase, and Techniques, now we are able to concentrate on the Managerial Business Decision-Making Process. The lecture note section on Managerial and Economics Interpretations of the WinQSB Combined Report deals with how to interpret and describe the computational results in computer output such as, the optimal strategic solution, sensitivity ranges, shadow prices, and other useful information for the decision-maker.
Perform some "what-if" scenarios analysis on Problem 2.7. That is, use your computer software package to do some numerical experimentation on variations of Problem 2.7. Again, this computer-assisted learning assignment provides a "hands-on" experience, which will enhance your understanding of the technical concepts, involved in various topics of controlling the problems, which we have covered. Your experimentation must include for example, Adding a New Constraint; Deleting a Constraint; Introducing a new product; and Terminating a product. This computer-assisted learning concepts provides a "hands-on" experience which will enhance your understanding of the technical concepts involved in various topics of sensitivity analysis that we have covered.
Check your formulations with those on page 628-629 before using your software.
Managerial and Economics Interpretations: The decision problem is stated by the decision-maker often in some non-technical terms. When you think over the problem, and finding out what module of the software to use, you will use the software to get the solution. The solution should also be presented to the decision-maker in the same style of language, which is understandable, by the decision-maker. Therefore, just do not give me the printout of the software. You must also provide managerial and economics interpretations of the solution in some non-technical terms.
How stable is your decision? The computer packages such as your WinSQB, are necessary a very helpful tools for the decision maker in performing stability and sensitivity aspects of the decision whenever there is uncertainty in the payoffs and or in assigning probabilities in any decision analysis.
As a cautious note, you may experience some difficulties in comprehending the decision analysis problems, this is true for everyone while translating the way the problems are worded and the type of questions that are asked. Therefore, the most difficult part of decision analysis is the translation of the problem. Here are my suggestions: Read the problem may time, slowly. I suggest also drawing a decision tree to start with, then read the problem few time to modify the tree. Remember that, the mathematical representation of a decision analysis problem is the decision tree.
Probability Refresher: Read A Review of Statistics and Probability for Business Decision Making under Risk handout.
Preparation for the next week test: Your preparation is a very important undertaking in terms of integrating what you have learned each week in order to see the whole picture and inter-connectivity of the topics.
To prepare yourself for the actual test, you are advised to review all the topics we have covered, to review past homework assignment, and then prepare your own few pages of a summary sheet. The process of producing a summary sheet, helps you to crystallize your mind to be reflective and responsive to any question posed to you about the topics you've learned in this course, it also helps you to reinforce the wholeness of the topics in your mind.
To view a Summary-Sheets prepared by one of your classmates, click LP/ILP Summary Sheet.
To view a Summary-Sheets on Decision Analysis, click here.
If you think you have prepared a better Summary-Sheets, kindly send it to me via an attached email. Thank you.
Past First Exams (Word.Doc)
Exercise Your Knowledge on this Past Final Exam:
Learning Style For This CourseThis course requires a particular learning style known as learning-to-learn. Effective and efficient learning includes completing weekly homework assignment and learning from feedback. Knowledge conquered by thinking for yourself becomes a possession -- a property entirely our own.
Unfortunately, most classroom courses are not learning systems. Instructors attempt to help their students acquire skills and knowledge with lectures, tests and memorization. Instructors "tell," which doesn't translate into usable skills. We learn by doing, failing and practicing. Computer assisted learning serves this purpose.
The change in learning in this course over the years is less emphasis on strategic solution algorithms and more on modeling processes, applications and software. This trend continues as more students with diverse backgrounds seek MBA degrees without too much theory and mathematics. Our approach is middle-of-the-road: no excess of math or software. We learn how to formulate problems prior to software usage. You should learn how to model a decision problem, first by hand and then by using software. The software should be used for two purposes:
- Computer-assisted learning concepts and techniques, and
- For large problems that are too difficult to solve by hand.
What are the most critical challenges in learning for this course?
- To refresh your high school math including linear algebra, basic statistics, and probability. Also a review of your Calculus.
- To learn the new technology, mainly the use of software within a reasonable amount of time. The learning curve of the software we will be using is very sharp.
- To link the course materials with other courses in your MBA program.
- What is Quantitative Decision Technologies? A rational, structured approach to problem solving. It is the study of developing procedures that are used in decision-making and planning. An objective measure of performance must be identified to measure success. The objective must represent the decision-makers goal and serve as a starting point for developing a model for the problem.
- The context of modeling: What is a quantitative decision model? There are two types of models: Deterministic and Probabilistic. Deterministic modeling is linear programming for optimization while decision analysis is a probabilistic modeling tool used for problems under uncertainty.
- Model design, selection and setup: This includes justifying model selection (validation), setting assumptions, parameters, advantages and limitations of various models, considering the effects of data quality and accessibility, regulations, implicit versus explicit assumptions, computer models (verification), and sensitivity analysis.
- Input data selection and analysis: How to find data and the balance between quality, accessibility, credibility, and relevance. How to evaluate data quality and understand its impact.
- Analysis of results: How to tell if results are reasonable, sensitivity of output to changes in input, recognition of the useful life of a model.
- Cases and applications: Word Problem Formulation, Linear Programs, Transportation Problem, Assignment Problem, Shortest Path Problem, Max Flow Problem, Critical Path Method in Project Management, Decision Making under Risk, Forecasting Techniques.
- Communication: Clearly and accurately communicate the process and result by understanding the nature of the audience, effects of standards and regulations, use of appropriate format and media and maintenance of internal documentation.
It is axiomatic that if learning occurs, there is change in you. Change might occur in your attitude, thinking, beliefs and/or behavior. Something will have changed or else learning simply did not occur. I am sure you will be enthusiastic about the topics covered in this course throughout the semester and beyond. Enthusiasm is one of the most powerful engines of success; enthusiasm changes problems into challenges. When you study for this course, put your whole mind into it. Stamp your work with your own personality when it is submitting. Be active, energetic, honest, and remember: learning-to-learn was never achieved without enthusiasm.
The School's Mission and the Course ObjectivesMerrick School of Business Mission Statement: Our mission is to prepare our diverse mix of students in collaboration with the business community to succeed in a dynamic global economy. The goal is to make excellence accessible. We achieve our mission by:
- Creating and delivering a leading edge curriculum with practical learning experiences in innovative and flexible ways;
- Maintaining intellectual currency through scholarship on business theory, practice and education; and
- Providing expertise to the private and public sectors as well as the academic community.
Course Objectives: What Do I Learn?
An efficient and effective learning begins with asking yourself How to Study? I would like to insist that most parts of this course require a particular learning style. The effective and efficient learning style for this course is doing your homework assignments on a regular weekly basis and learning from your mistakes whenever I provide feedbacks.
I am sure you will be enthusiastic about the topics covered in this course throughout the semester and beyond. Enthusiasm is one of the most powerful engines of success. When you do study for this course, do it with all your might. Put your whole mind into it during the semester. Stamp your work with your own personality when submitting them to me. Be active, be energetic, be enthusiastic and honest, and you will accomplish the objectives of this course. Remember that, learning-to-learn was never achieved without enthusiasm.
The general objective of the course is to assist you in understanding and applying the general process of structural decision-making and its components.
Notice that, although we have multiple overall objectives for this course, this does not make our task a "multiple-objective problem", since there is no maximization nor minimization statement in any of our objectives.
Upon completing this course successfully, you should be able:
Decision Making in Economics and Finance: