Intro to Course

https://rpubs.com/mdlama/fall2020-lecture01

I will publish the slides prior to lecture/lab so you can annotate and take notes (more on this a little later…)

• You never owe me personal information about your health (mental or physical), or anything else.
• You are always welcome to talk to me about things that you’re going through. If I can’t help you, I will work hard to find someone who can.
• If you need extra help, or you need to miss class, or you need more time with something, just ask. I’ll work with you. Promise!

• Labs: Undergraduates must be enrolled
  • 327L-01: W 1:00-1:50 (37 students)
  • 327L-02: R 1:00-1:50 (37 students)

• Instructor
  • M. Drew LaMar (mdlama@wm.edu)
• Office hours: M 10-11, F 1-2

• Prerequisite: BIOL 220, BIOL 225 and MATH 111/131
• Required text:
  
  • “The Analysis of Biological Data” (2^nd edition), by Whitlock and Schluter

• Uploaded on Blackboard each week and due on Blackboard by Mondays at 11:59 pm
• Grade will be a combination of the three C’s:
  • Completion
  • Correctness
  • Clarity
• Drop two lowest homework grades
• Homework worth 35% of your grade

• Learning skills in Data Science
• Software: R
• Labs (usually) due beginning of lab period 1 week after assignment
• You are allowed two missed lab assignments
• Grade is by completion only
• Labs worth 10% of your grade

• Three take-home midterms:
  • Friday, September 18
  • Friday, October 9
  • Friday, October 30
• Each midterm worth 10% of your grade
• Option: Final exam grade will replace lowest midterm grade (if higher)

• Assigned most days for the following class period
• Will be given online on Blackboard
• Worth 5% of your grade
• Reading Assignment #1 is already posted on Blackboard and due before class on Friday (Whitlock & Schluter, Chapter 1)

• Worth 10% of your grade
• More details later…