cuny IS200 discussions

W5A - Technology Changes Space

In your own words, what does it mean to say, "technology changes the way that people ineract space." Give specific examples of technologies changing space to illustrate your thinking. Describe the original space, the technology introduced, and then how the space was changed. I suggest you create a fictious character to help the reader get a real feel for the situation. We'd call this using "use case scenarios."

***Please respond to this topic with a SEE post. Refer to your syllabus and/or "Getting Started" for SEE post guidelines.

W5A - Research Methods: Observing Technology In Practice

Explain your approach to observing how people use the kiosk?

W5B - Technologies for People Living With Disabilities

What are the coolest technologies to help people living with disabilities? Whenever we share technologies with each other, give some detail: problem addressed, population served, functionality, make/models, cost... I'm not trying to be too specific, but think about what you'd want to know if you were the person responsible for planning an installation.

***Please respond to this topic with a SEE post. Refer to your syllabus and/or "Getting Started" for SEE post guidelines.

W6A - The Value of ERPs

Explain the value added by an enterprise resource system in term of Porter’s Value Chain. What are the risks and limitations of bringing on an Enterprise Resource Planning package/

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W6B - Working With People That You Never See

It’s just as easy and effective to work with people that you never see. Agree? How do collaboration tools connect people who work remotely and bridge groups that work in virtual teams? Associate specific types of tools with specific behaviors (e.g., chat enables causal conversation). Where do tools fall short? How would you improve these tools? Thinking outloud here: Seems a little like going to school online. I'd say we're thinking about pretty complex ideas and detailed work.

***Please respond to this topic with a SEE post. Refer to your syllabus and/or "Getting Started" for SEE post guidelines.

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W7A - Correlation v. Causality

Data driven models help us to understand the past and predict future events, that’s for sure. Nevertheless, there are still the questions of does the data tells us all that we want to know and how well we can predict. Based on your own knowledge of statistics and big data, take a side in the following argument: If we have a big enough data set, we predict definitively what customers want. In your argument, you must discuss causality versus correlation and the risks/benefits of taking either perspective.

***Please respond to this topic with a SEE post. Refer to your syllabus and/or "Getting Started" for SEE post guidelines.

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W7A - Too Much Data

We often talk about the value of digging through big data. When is aggregating large amounts of data dangerous? Should people have the right to be forgotten? What kinds of national and corporate policies are important, and what kinds of security and controls should be considered?