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Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. If you are faced with an ethical dilemma, what should you be especially cautious of when considering who is affected?
2. What is the definition of Big Data? Find some examples of this online and understand when it could be used.
3. What is a Direct Inquiry in the context of Big Data? Can you think of examples in your life where companies have used Direct Inquiries on you?
4. Indirect Tracking is another kind of Big Data Collection. Think of some methods, both online and physically, that companies can use this method.
5. The textbook lists Five Dimensions of Ethical Behavior in the Digital Age. What is the first dimension, and can you find real life examples of this?
6. What is the third dimension? Can you find real life examples of this?
7. What is remote desktop software? What are some ethical issues with this?
8. Is cryptocurrency traceable? Why might this be good or bad in terms of its ethical uses?

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. What is a hash in blockchain, and how does it maintain security?
2. Blockchain technology uses packet-switching. Give a description of the concept of packet-switching.
3. Does cryptocurrency, and therefore blockchain, rely on a central authority to operate?
4. In blockchain, what is the relationship between a miner and a nonce?
5. An attribute of a public blockchain is that it is permissionless. What does it mean for something to be permissionless?
6. Cryptocurrency comes with many risks. Name a risk of hacking associated with cryptocurrency.
7. Are most cryptocurrencies a volatile or stable investment? Why?
8. Some cryptocurrency, like Bitcoin, are considered to be a store-of-value asset. What does this mean?

 

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1.  What is the primary function of a SCM system?
2.  What system focuses on a firm’s interactions with customers to identify potential and valuable ones?
3.  What is a DSS software? Give a summary of what a DSS does and an example in which it could be used.
4.  What system is a version of a DSS, designed to expressly meet the needs of senior corporate executives?
5.  Name the 3 basic set of components that are in every SCM System. What responsibilities does each component have?
6.  What software/application coordinates all aspects of an organization?
7. A CRM helps businesses organize 3 main functions. What are those?
8. What are a DSS’s 3 components?
9. What is an application for EIS that focuses on producing goods?
10. What are an EIS’s 5 major categories? Give a sentence for each category about what it might entail.

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. What is cloud computing? What tools do you use that utilize the cloud?
2. What is the main purpose of an ERP system?
3. What is a POS system? Why might these systems still want to keep/use physical cash?
4. What is the definition of Data Analytics? How could this help a business?
5. What is a Learning Management System? Give an example of one you use and describe what it does for you.
6. What is the main purpose of an Executive Support System? What makes it different from a Decision Support System (Week 3)?
7. Name a management theorist from the 1700’s, 1800’s, & 1900’s. Then, give a summary of each of their main theories/ideas.
8. When might someone want to use a mainframe computer over a personal computer? What about the other way around?
9. What is the purpose of a client-server network?
10. What is the main purpose of a Marketing Information System? Name and describe some of the processes that are included in this system.

 

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. What is a Rootkit and what does it do?
2. Why is Data Integrity important in Cybersecurity? Knowing this, why do we need to authenticate users with username and passwords?
3. What is a Trojan Horse Attack and what is its main limitation?
4. Part of the Plan-Protect-Respond Cycle is the Planning Stage. Why would Penetration Testing be useful at this specific stage?
5. What is a Man-in-the-Middle Attack? What kind of information does this attack target?
6. What is the overall  goal of the 3 main components of Cybersecurity Threat Mitigation?

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. What is Natural Language Processing and what’s the goal of it?
2. AI has many models, but what is a language model? Have you interacted with this before? What was its primary function?
3. Does Machine Learning require human interaction in its learning process?
4. What does it mean for an AI model to use unsupervised learning?
5. What two things does Deep Learning use to create its own learning process?
6. What is the Turing Test and what is its purpose?
7. Artificial General Intelligence (AGI) is a hypothetical type of AI that has not been made yet. What would AGIs be designed to do?
8. Since humans make AI systems, we can accidentally give it our own assumptions and prejudices, a.k.a our biases. From this, what is AI Bias?
9. How might Data Governance be used in AI implementation?
10. When it comes to training itself or real-life business uses, will AI systems analyze large or small data sets? Can you think of a reason why?

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. What are the 4 parts to consider of a customer segmentation tool?
2. Customer equity, profitability, and lifetime value are different measures of a customer. What’s the difference between the 3 of them?
3. What are some ways data collected by CRMs can help develop new products?
4. Name 3 laws and regulations surrounding consumer data and give a short description of what each does.
5. What is the difference in prospecting vs qualifying a potential customer?
6. What is a target market? What data makes an ideal customer profile?
7. CRMs collect lots of customer data. What types of data does this include?
8. In what ways does a CRM improve customer service?
9. What are MQL and SQL customers? The difference between them?
10. What is the concept of Share of Customer? What does it mean when it’s high? How about when it’s low?

There are no weekly questions for Weeks 9 & 10.

Exam 3 will NOT have any content from Weeks 9 & 10

There are no weekly questions for Weeks 9 & 10.

Exam 3 will NOT have any content from Weeks 9 & 10.

Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.

1. The process of data analytics includes Descriptive, Predictive, and Prescriptive analytics. Give a short description of each. How are they different?
2. What is a data analyst? How do businesses effectively use data analysts?
3. What does it mean to analyze the IoT? How can businesses use this to their advantage?
4. Structured Query Language is used to work with large data sets. What is it exactly, and why do businesses choose to use it?
5. What are the 3 most common SQL terms, and what do they do?
6. Why do we need to anonymize data? What is the relationship between PII and anonymous data?
7. What do good data visualizations do? How would an audience affect how you design a data visualization?
8. Understand the 4 parts of the Database Hierarchy. What are they each made up of?
9. Two basic parts of not just SQL, but also many programming languages, are queries and syntax. Can you define these two?