information systems for business and beyond 5
Chapter 3 – study questions 1-8, Exercise 2
Chapter 4 – study questions 1-13, Exercise 5
(Information Systems for Business and Beyond)
Chapter3:
- Develop your own definition of software being certain to explain the key terms.
- What are the primary functions of an operating system?
- Which of the following are operating systems and which are applications: Microsoft Excel, Google Chrome, iTunes, Windows, Android, Angry Birds.
- What is your favorite software application? What tasks does it help you accomplish?
- How would you categorize the software that runs on mobile devices? Break down these apps into at least three basic categories and give an example of each.
- What does an ERP system do?
- What is open-source software? How does it differ from closed-source software? Give an example of each.
- What does a software license grant to the purchaser of the software?Excercise
Excercise2:
you were running a small business with limited funds for information technology, would you consider using cloud computing? Find some web-based resources that support your decision.
Chapter4:
- What is the difference between data, information, and knowledge?
- Explain in your own words how the data component relates to the hardware and software components of information systems.
- What is the difference between quantitative data and qualitative data? In what situations could the number 42 be considered qualitative data?
- What are the characteristics of a relational database?
- When would using a personal DBMS make sense?
- What is the difference between a spreadsheet and a database? List three differences between them.
- Describe what the term normalization means.
- Why is it important to define the data type of a field when designing a relational database?
- Name a database you interact with frequently. What would some of the field names be?
- What is metadata?
- Name three advantages of using a data warehouse.
- What is data mining?
- In your own words, explain the difference between supervised learning and unsupervised learning. Give an example of each (not from the book).
Excercise4:
Do some original research and find two examples of data mining. Summarize each example and then write about what the two examples have in common.
Text Book URL: https://opentextbook.site/informationsystems2019/