BUS 660 Grand Canyon Entire Course
BUS 660 Grand Canyon Week 1 Discussion 1
Present an example of a business situation that you believe would lend itself to the use of a quantitative business model. Clearly explain how the model could be used in this situation.
BUS 660 Grand Canyon Week 1 Discussion 2
Multiple models are often used in supporting business decision making. Outline a situation in your organization or industry that required the need for multiple models. What factors were unique to this situation? Support your response with rationale from the readings or external research.
BUS 660 Grand Canyon Week 2 Discussion 1
Apply a business decision model to something you do every day, such as select an outfit, order lunch, or determine your exercise routine. Be creative in your approach. How did you select the model? Include rationale with support from the readings.
BUS 660 Grand Canyon Week 2 Discussion 2
Using the decision tree resources available in the Topic Materials, create a decision tree for the scenario you outlined in Topic 2 DQ 1. Attach the decision tree to your response and include insights in crafting the decision tree. How would you apply your experience to larger-scale decisions at an organizational level?
BUS 660 Grand Canyon Week 3 Discussion 1
Identify two business situations or problems within your current organization or industry. Articulate how one of these lends itself to a simple linear regression and how one does not. Why is simple linear regression appropriate to address one situation or problem but not the other? Support your ideas with evidence from the readings.
BUS 660 Grand Canyon Week 3 Discussion 2
You are the vice president of sales for TerraFirma, a company that manufactures outdoor sporting gear. You receive a report on your desk one morning that claims little or no relationship between the University of Michigan Consumer Sentiment Index (CSI) BUS 660 and outdoor sporting gear sales. The claim is based on a very low R2 of the simple regression model, using these two variables (CSI and sales). Discuss how you would (or should) react to this report and why. What clarifying questions might you ask?
BUS 660 Grand Canyon Week 4 Discussion 1
Provide an example based on your professional experience of a situation in which using a multiple regression model or nonlinear regression model may have helped your organization make a better decision.
BUS 660 Grand Canyon Week 4 Discussion 2
What types of business situations or problems might best lend themselves to multiple linear regression? What types may not? When do you anticipate using a multiple linear regression model in your postgraduate, professional experience? Explain.
BUS 660 Grand Canyon Week 5 Discussion 1
Discuss the strategic importance of forecasting at your organization (or one with which you are familiar). What strategic decisions does it need to make in terms of forecasting? Provide two recent examples. In your opinion, was this the best way? How could the process be improved?
BUS 660 Grand Canyon Week 5 Discussion 2
Refer to the Topic Material, "Chapter 1 - Fundamental Issues in Business Forecasting." This resource includes a discussion of unrealistic expectations and forecast accuracy. How have you seen this demonstrated in your organization or industry? Describe the forecasting scenario and the "prediction" that did not come true. What conversations did management have surrounding this issue? BUS660GCU How would you mitigate expectations for a situation like this in the future?
BUS 660 Grand Canyon Week 6 Discussion 1
Identify two key strategic decisions made by your current team, department, or organization. How could those decisions have been enhanced by optimization models? Support your rationale with evidence from readings or external research.
BUS 660 Grand Canyon Week 6 Discussion 2
Find a current example of a linear optimization model used in your industry. Describe the industry's needs, including any unique factors, how the linear optimization model was used, and the problem or challenge it addressed. Would you suggest a different model be used? Why or why not? Support your response with rationale from the assigned readings.
BUS 660 Grand Canyon Week 7 Discussion 1
Explain the importance of correctly stating the objective function and constraints in linear optimization problems. Using examples from your professional experience, describe the problems that could result if the objective function and constraints are not stated properly. Why did these problems arise? Support your anecdotal evidence with website support and rationale from the readings.
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