Syllabus for BFO-701



This course focuses on the premise of business forecasting methodologies used by business managers in today's various industries.  This course is focused on presenting basic managerial statistical techniques as well as business forecasting models that are useful for preparing individual business forecasts and long-term planning.  Organizations constantly need to make business predictions, whether implicitly or explicitly, about future events that will affect their business and the industry in general.  Students will be offered opportunities on how to build business forecasting models, how to produce business forecasts, as well as how to evaluate the reliability of the business forecasts generated.  Another key focus of the course will be using past organizational information to predict future trends through various types of business forecasting.


After completing this course, you should be able to:

  1. Assess the essential business forecasting perspective in order to construct a basic business forecasting foundation. (CO1)
  2. Deconstruct the basic forecasting tools so as to provide a framework for building form the basic to the complex.  (CO2)
  3. Deconstruct  the time series composition with a focus on going beyond strictly forecasting methods so as to better understand the effect of the time series, which provides a stronger framework to understanding it's link to forecasting. (CO3)
  4. Analyze the exponential smoothing methods, especially those related to the Holt's method and the Holt-Winter's method so as to provide yet another perspective from which to build a business forecasting process. (CO4)
  5. Illustrate the key functional process of simple regression with the key focus of analyzing a single explanatory variable. (CO5)
  6. Compose components related to multiple regression methods in which more than one explanatory variable is analyzed. (CO6)
  7. Assess the Box-Jenkins methodology as well as it's utilization impact on more recent ARIMA models and methods. (CO7)
  8. Evaluation of advanced forecasting models related to advanced time series and regression with ARIMA errors and dynamic regression models as well as neural networks. (CO8)
  9. Distinguishing forecasting for the long term which focuses on 3 critical approaches from judgmental forecasting and adjustments, which focuses on the minimization of biases. (CO9)
  10. Analyzing the use of forecasting methods in practice with a focus various models in use and implementing forecasting models with a focus on usage issues as well as advantages and limitation related to the implementation of the models. (CO10)


You will need the following materials to do the work of the course. The required textbook is available from the College’s textbook supplier, MBS Direct.

Required Textbook


Business Forecasting is a three-credit online course, consisting of six (6) modules. Modules include an overview, topics, learning objectives, study materials, and activities. Module titles are listed below.


For your formal work in the course, you are required to participate in online discussion forums, complete written assignments, participate in a synchronous event, complete a midterm assignment, and complete a final project. See below for details.

Consult the course Calendar for due dates.

Discussion Forums

You are required to complete six (6) discussion forums. Discussion forums are on a variety of topics associated with the course modules.

Written Assignments

You are required to complete two (2) written assignments. The written assignments are on a variety of topics associated with the course modules.

Synchronous Event

One synchronous event will be held during week 4 (See course calendar).  During the live event, students will discuss their final project topic providing some context on why the chose this topic including an explanation and justification for their choice. Students will dial into a teleconference number (provided by your mentor) at a set time.   Your mentor will work with the class to propose a time that works best and accommodates the majority.  

Midterm Assignment

You are required to complete a midterm assignment.  Detail of this assignment can be found in the Midterm section of your course website.  See course calendar for due date.

Final Project

So as to provide an opportunity for the student to illustrate a comprehensive understanding of business forecasting, they will be required to submit a 10 to 12 page paper on a topic related to business intelligence. Within this paper, the student should clearly identified their topic early in the paper so as to best illustrate this topic throughout their paper. Further, the student should offer a variety of key points so as to support each point and illustrating its intentions as well as its support for the overall topic of their paper.

See the final project area of the course website for more details.


Your grade in the course will be determined as follows:

All activities will receive a numerical grade of 0–100. You will receive a score of 0 for any work not submitted. Your final grade in the course will be a letter grade. Letter grade equivalents for numerical grades are as follows:
























Below 73

To receive credit for the course, you must earn a letter grade of C or higher on the weighted average of all assigned course work (e.g., assignments, discussion postings, projects, etc.). Graduate students must maintain a B average overall to remain in good academic standing.


First Steps to Success

To succeed in this course, take the following first steps:

Study Tips

Consider the following study tips for success:


Students at Thomas Edison State College are expected to exhibit the highest level of academic citizenship. In particular, students are expected to read and follow all policies, procedures, and program information guidelines contained in publications; pursue their learning goals with honesty and integrity; demonstrate that they are progressing satisfactorily and in a timely fashion by meeting course deadlines and following outlined procedures; observe a code of mutual respect in dealing with mentors, staff, and other students; behave in a manner consistent with the standards and codes of the profession in which they are practicing; keep official records updated regarding changes in name, address, telephone number, or e-mail address; and meet financial obligations in a timely manner. Students not practicing good academic citizenship may be subject to disciplinary action including suspension, dismissal, or financial holds on records.

Academic Dishonesty

Thomas Edison State College expects all of its students to approach their education with academic integrity—the pursuit of scholarly activity free from fraud and deception. All mentors and administrative staff members at the College insist on strict standards of academic honesty in all courses. Academic dishonesty undermines this objective. Academic dishonesty takes the following forms:

Academic dishonesty will result in disciplinary action and possible dismissal from the College. Students who submit papers that are found to be plagiarized will receive an F on the plagiarized assignment, may receive a grade of F for the course, and may face dismissal from the College.

A student who is charged with academic dishonesty will be given oral or written notice of the charge. If a mentor or the College official believes the infraction is serious enough to warrant referral of the case to the academic dean, or if the mentor awards a final grade of F in the course because of the infraction, the student and the mentor will be afforded formal due process.

If a student is found cheating or using unauthorized materials on an examination, he or she will automatically receive a grade of F on that examination. Students who believe they have been falsely accused of academic dishonesty should seek redress through informal discussions with the mentor, through the office of the dean, or through an executive officer of Thomas Edison State College.


Using someone else’s work as your own is plagiarism. Although it may seem like simple dishonesty, plagiarism is against the law. Thomas Edison State College takes a strong stance against plagiarism, and students found to be plagiarizing will be severely penalized. If you copy phrases, sentences, paragraphs, or whole documents word-for-word—or if you paraphrase by changing a word here and there—without identifying the author, then you are plagiarizing. Please keep in mind that this type of identification applies to Internet sources as well as to print-based sources. Copying and pasting from the Internet, without using quotation marks and without acknowledging sources, constitutes plagiarism. (For information about how to cite Internet sources, see Online Student Handbook > Academic Standards > “Citing Sources.”)

Accidentally copying the words and ideas of another writer does not excuse the charge of plagiarism. It is easy to jot down notes and ideas from many sources and then write your own paper without knowing which words are your own and which are someone else’s. It is more difficult to keep track of each and every source. However, the conscientious writer who wishes to avoid plagiarizing never fails to keep careful track of sources.

Always be aware that if you write without acknowledging the sources of your ideas, you run the risk of being charged with plagiarism.

Clearly, plagiarism, no matter the degree of the intent to deceive, defeats the purpose of education. If you plagiarize deliberately, you are not educating yourself, and you are wasting your time on courses meant to improve your skills. If you plagiarize through carelessness, you are deceiving yourself.

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