Below are clarifications and tips that you need to keep in mind when completing and turning in assignments in this class.
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1) All assignments are set up the same way. They can be found in the menu at the top of the pages in Wix. At the top of the link to an assignment is the actual description of the assignment. After that will be any data you need to download to do the assignment. After that will be videos that demonstrate how to complete the assignment.  Some assignments will use data on the web and other assignments will reuse data from previous assignments.
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2) If you use Excel, you must submit an Excel workbook, with the .xlsx extension.  Never turn in a .csv file unless you are specifically asked to do so. The .csv files are data files and they do not show your work (i.e. formulas. tables, graphs).  You will not receive points for turning in assignments that do not show your work (i.e. formulas).
 
3) If you use Python, turn in a .pdf file that has all of your code run and answers to lab questions visible. We will not accept .pdf files that do not have the code visible as well as the results from the code.

4) Clearly show where I should expect to see your answers with comments such as "Answer to question A is here" or in Python, use comments with a # symbol like this: #Answer to question A is here.
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5) Read and follow instructions carefully. Failing to follow instructions will cost you points. Read the notes about points that will be counted off on the Rubrics page.
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6) If you use Excel, things will be much easier for you if you have a fairly recent version of Excel. In addition, it will be very useful if you have a version of Excel with the Analysis ToolPak. There is a video demonstrating how to download the version of Excel available through the university and a video demonstrating how to install the Data Analysis ToolPak.
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7) You have plenty of time to complete each assignment and everyone is expected to work on each assignment early. Pretend like each assignment is due a week before the actual due date, because there will not be an opportunity to turn in late assignments. The week before the due date will be considered extra time for those who have experienced difficulties getting the assignment done. 
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8) Every student must do his or her own work. I should never see the same assignment turned in by two or more students.  Please take this seriously. If I see strong evidence that two or more students turn in the same assignment, all students involved will receive a zero on the assignment and may also face academic dishonesty charges. If you work with another student, it is very important to think of ways to make your assignment your own. This is not hard to do. For example, set your data up in a different way and/or use different cells in Excel to perform your calculations. Even if you are using Python, there are many ways to make your script file different than someone you are working with. Your ability to do this depends a lot on whether or not you understand how to complete the assignment, which is the whole purpose of taking this lab course.
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9) You must sign-up to this Wix site, using your @ualr email address. This is how I keep up with students, etc. If you do not sign up with your @ualr email address, you will not be able to turn in assignments.
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10) This lab is available to students for only one semester. After you complete the course, you will be deleted from this Wix site.