Mart Doyle

1. There is no blackboard for this course.
 
That’s right. In lieu of blackboard, we will use a course blog hosted by WordPress. You can access the course site anywhere anytime with an internet connection. […]

Brief review of previous training
Discussion of previous practice session
Poll/survey results
Best Practices
Questions & Answers

Brief Welcome & Introductions
Website overview
WebEx familiarization & demonstration
Best practices discussion

Have your eval sheet prepped/scanned or electronic
Sites up & ready to show […]

Please remember to watch this TED talk before class tomorrow. You can view the talk here. 

As announced in class, Learn IT 3 is a choice between participation in the data analytics challenge or completing a coding exercise on codecademy.com. The due date for either option is October 28. 

Good morning,
Exam 1 grades are posted in the grade book. There is no curve for this exam.

Due to issues that have now been resolved with uploading images to the community site, I am providing an extension of the deadline of Learn IT #1. You now have until 9/23 to complete the assignment and turn it in […]

Important! Read these instructions carefully to make sure that you get credit for your Learn IT homework assignments!

Do not hand in paper copies. No printing is necessary, and printed copies will not be […]

Welcome to MIS 2101: Information Systems in Organizations.  We will not be using Blackboard for this class.  Instead, we’ll be using this site which is hosted by Community.MIS.Temple.Edu.  This site is built on W […]

Case Analysis – Sample Team Presentation

This was an outstanding presentation made by Team Pixton’s Guild from one of my sections of 5402 earlier this year. Here are some things I am looking for that this team […]

Bassel asked a good question in class earlier this week. Are we too reliant on a single source of information? And, in that vain, are we approaching a sci-fi-esque era of technological singularity?

The […]

Dedicated to distilling the world’s data, information and knowledge into beautiful, interesting and, above all, useful visualizations, infographics and diagrams.

Source: What Makes A Good Data V […]