Reading Quiz #2: Complete by Sept. 14, 2017
Some quick instructions:
- You must complete the quiz by the start of class on September 14, 2017. The quiz is based on the readings for the whole week.
- When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. It will then take you to the quiz.
If it says you don’t have access, make sure you’re signed out of your regular Gmail (non-TUMail) account! - You can only do the quiz once. If you submit multiple times, I’ll only use the first (oldest) one.
- This is “open book” – you can use the articles to answer the questions – but do not get help from anyone else.
Ready? Take the quiz by clicking this link.
Weekly Question #2: Complete by Sept. 14, 2017
Leave your response as a comment on this post by the beginning of class on September 14, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!
If you sign in using your AccessNet ID and password you won’t have to fill in the name, email and captcha fields when you leave your comment.
Here is the question (well, it’s not really a question):
Find a online article dated within last two weeks from a credible source that has something to do with data. It can be about the role of data or an interesting data-driven analysis. It should also be relevant to your major and of interest to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.
You can use any of the sources under the “Great Data Sites” menu on the right sidebar of this page, or you can use any online news or magazine site.
In-Class Exercise 2.2: Finding Sources of Data
Here is the exercise.
In-Class Exercise 2.1: Creating a Data Dictionary
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 2.1 – 2015 Car Fuel Econ [Start]]
And here is the completed data dictionary for your reference In-Class Exercise 2.1 – 2015 Car Fuel Econ [Complete]
Assignment #1: Creating a Data Analysis Plan
We will review this assignment and instructions in class on September 7. Please read through prior to that class to be better prepared with questions.
Here are the instructions in word (and as a PDF). Make sure you read them carefully!
When your assignment is complete, you’re going to email the document to me in .docx or .pdf format at MIS0855.h6xo7208v2mgk0g6@u.box.com from your Temple email account. If your upload is successful, you’ll receive a confirmation receipt via email from the Temple OwlBox system. SAVE THIS RECEIPT! It is your proof that your submission was submitted, the name of the document, and the time/date of submission.
If you don’t receive a confirmation email, it likely means your submission was not successful. Try again, and contact me if you’re having recurrent issues.
Your assignment must be submitted by 5:30pm, September 21, 2017 to be on time. You can always check the Syllabus for Assignment due dates. Remember, and this is also in the Syllabus:
“Late Deliverable Policy
A deliverable (assignment, weekly question response, or online quiz) is considered late if it is submitted after the beginning of class. No late deliverables will be accepted without penalty, and equipment failure is not an acceptable reason for turning in a deliverable late.
All assignments will be assessed a 20% penalty (subtracted from that assignment’s score) each day they are late. No credit will be given for assignments turned in more than three days past the due date. However, you must submit all assignments, even if no credit is given. If you skip an assignment, an additional 10 points will be subtracted from your final grade in the course. For example, if you do not turn in an assignment worth 5% of the course grade, you will receive no credit for that assignment plus a 10 point penalty, reducing your maximum grade in the course to an 85.”
Reading Quiz #1: Complete by Sept. 7, 2017
Some quick instructions:
- You must complete the quiz by the start of class on Sept. 7, 2017.
- When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. It will then take you to the quiz.
If it says you don’t have access, make sure you’re signed out of your regular Gmail (non-TUMail) account! - You can only do the quiz once. If you submit multiple times, I’ll only use the first (oldest) one.
- This is “open book” – you can use the articles to answer the questions – but do not get help from anyone else.
- The quizzes are on all of the readings for the coming week (Monday)
Ready? Take the quiz by clicking this link.
Assignments
Assignment details will be posted here as they are assigned.
Quizzes
Access to quizzes will be posted here one week before each one is due.
Weekly Question #1: Complete by Sept. 7, 2017
Leave your response as a comment on this post by the beginning of class on Sept. 7, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!
If you sign in using your AccessNet ID and password you won’t have to fill in the name, email and captcha fields when you leave your comment.
Here is the question:
“Conventional wisdom” are statements people generally accept as true but are never really tested. One example is the belief that a company should avoid hiring people with criminal records. These can be supported or disproven through data – i.e., Evolv’s discovery that people with criminal records are up to 1.5% more productive than the average worker.
Give an example of a piece of conventional wisdom you’ve heard and explain what data you would collect to test it.
In class Exercise 1.1: Data is Everywhere
Here is the exercise.