saint gba327 all module discussion latest 2105 [ all 8 discussions ]

| January 30, 2017

Question
mod 1

Module 1 Discussion

Read the Ethics Guide ‘Yikes! Bikes’ scenario in the text. Then, answer your choice of one of the discussion questions. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

mod 2

Module 2 Discussion

Read the Security Guide ‘No, Thanks, I’ll Use a Spreadsheet’ scenario in the text. Then, answer your choice of one of the discussion questions. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

mod 3

Module 3 Discussion

Read the Security Guide ‘You Said What? About Me? In Class?’ scenario in the text. Then, answer your choice of one of the discussion questions. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

mod 4
Module 4 Discussion

Read the Ethics Guide ‘Social Marketing? Or Lying?’ scenario in the text. Then, answer your choice of one of the discussion questions. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

mod 5
Module 5 Discussion

Read the Ethics Guide ‘Securing Privacy’ scenario in the text. Then, answer your choice of one of the discussion questions. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

mod 6
Module 6 Discussion

Answer your choice of one of the discussion questions below. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

1. Describe and discuss descriptive, predictive, and prescriptive analytics.
2. Other than the examples given in the textbook, give an example how a company would use descriptive, predictive, and prescriptive analytics.
3. Define discrete and continuous metrics, and give an example of each.
4. Define the four types of measurement scales and give an example of each not mentioned in the textbook.
5. Define the following types of input to a model: decision variable, uncontrollable variable, and data.

mod 7
Module 7 Discussion

Answer your choice of one of the discussion questions below. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

1. What is an influence diagram and what is its purpose?
2. What are a model, model assumptions, and validity?
3. Explain the Overbooking model and why it is used.
4. What is What-if Analysis and why is it used?
5. Define Monte Carlo simulation and indicate how it differs from hypercube simulation.

mod 8

Module 8 Discussion

Answer your choice of one of the discussion questions below. Please note that you can only address a question that has not yet been answered by a classmate. If all questions have already been answered, then you are free to select any question. Please clearly indicate which question you’re answering by labeling it with the question number.

1. Define the data mining technique of cluster analysis, and describe the various clustering methods.
2. Define the data mining technique of classification, and describe the various classification techniques.
3. Define the data mining technique of association rule mining, and give an example of how it would be used.
4. What is the lift value in an association rule?
5. What two numbers are used to express the degree of uncertainty about a rule identified in association rule mining? Define each.
6. Define the data mining technique of cause-and-effect modeling, and give an example of how it would be used.
7. Define lagging and leading measures in cause-and-effect modeling, and give an example of each.
8. Explain logistic regression for classifying data, and discuss how it is different from linear regression.

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