Today in lab I will be going over your lab report expectations and the marking scheme, including things to avoid doing.
ALL LAB REPORTS WILL BE SUBMITTED THROUGH TURNITIN. We are trying to keep this course as paper-free as possible :). Computer/internet problems are not an excuse for late lab reports, please plan accordingly and submit a day or two early to check if there are any issues with your turnitin account if this is a concern for you.
If you have not already enrolled in the course through turnitin, the login info is:
Class ID: 10717724
Additionally, as stats is a pre-req for this course, we will not be teaching it in labs. But, for your convenience, Alex Filazzola, the lab coordinator for BIOL2050, has made a few great tutorials that may be very helpful to you. These are available here:
See you all in lab!
Next week is our first week in the field where you’ll all get a chance to pick out locations for your studies and pilot you experiments!
BUT, before we head into the field we’re going to have a mini-shark tank session in lab. Each group should prepare a brief, informal presentation that outlines:
- Your major research questions
- Dependent and Independent variables/factors to be tested
- Locations you plan to use
- Any other ideas you want to bounce off of the class
Dr. Lortie and I will be there to listen to your proposals and troubleshoot any problems you may encounter!
PS. Your OSF.io groups SHOULD all be set up. If you have not received an email about this, please let me know and I will re-add you. There was one email it appeared to be rejecting.
See you all next week!
This is just a quick post to remind you all that labs start this Thursday at 2:30 PM. There is only one lab section for the course, so I hope to see you all there! FYI, the lab room has been CHANGED TO Lumbers Room 128.
This first lab will just be an intro for you all on the basics of experimental design. You will learn a few different techniques for conveying your designs to others, including how to sketch out an idea, and how to produce directed acyclic graphs (DAGs).
As I mentioned in the first lecture, all data you collect for both your experiment, and your systematic reviews later in the term will be published in an online, open-access repository called FigShare (www.figshare.com). I will go though a tutorial on how to use it and what makes a good data sheet in the first lab. If you want to get ahead of the game, feel free to make an account and get a feel for the website ahead of time.
See you all Thursday!