Lab Passwords: as I've said before, it's important everyone can use the computers in MacMillan 192 right from the first lab on Monday. So, make sure you get all set up well before your lab. It takes a day or so for the main computer to allocate a set-up to you. A helpful student kindly provided the following notes on how to do it. Notice that you can't do this off-campus.
Step #1 - GO TO ROOM MCML 194 to create the password!
Step #2 - Choose a computer. The screen will ask whether you already have an account, not have any account, or if you are not a LFS student (check the one that applies)
Step #3 - type in your student number on the next page and it will direct you to CWL log in
Step #4 - log in as you would to CWL
Step #5 - fill in the information asked (this is where you will choose a password!)...and then you are done (make sure you log out)
After, I headed to room 192 to try logging in. The screen should ask you for:
USERNAME: (type in your STUDENT NUMBER! NOT CWL username!)
PASSWORD: (the password you just created)
LOG ON TO: LANDFOOD
AND YOU'RE DONE! :)
It shouldn't be a big problem for most people because as I've said, it is step-by-step. The only thing that might confuse some people is that they try typing in their CWL username as the "username" for these computers. Therefore, emphasize the fact that it is their STUDENT NUMBER the computers are asking for.
Materials for labs, worked example sessions, and lectures: In the e-mail I attached these documents:
1. Lab 1 Print out and bring with you to your lab. if you have a copy of Stata, you can work through it on your own if you wish.
2. Lecture 1: Print out and bring with you to the first lecture on Tuesday.
3. Module Notes 1: As above. We may not start this on Tuesday, but certainly we will on Thursday. Good to have with you as you can then pick up the way we'll be working.
4. Worked Example 1: if you're attending a WE session, bring this along with you. Whoever is taking your session will be working through these questions, which are typical exam questions. Notice that we won't go through these questions outside of the scheduled WE sessions. Your choice!
5. The Stata dataset for the Cheese example, which appears in Lecture 1. This is just an interesting example of the way that we'll be using Stata and statistics in relation to food and nutrition type topics.