Intro to Course

• 90 max enrollment
  • 79 undergraduates
  • 3 graduates
• Labs: Undergraduates must be enrolled
  [Capacity: Actual/Max Registrar/Possible]
  • 327L-01: W 2:00-2:50 (Washington 308) [Capacity: 32/30/32-36]
  • 327L-03: R 3:00-3:50 (Small 110) [Capacity: 21/30/166]
  • 327L-04: R 2:00-2:50 (Jones 301) [Capacity: 19/30/50]
• What the heck happened to 327L-02?    ¯\(ツ)/¯

• Instructor: M. Drew LaMar (mdlama@wm.edu)
  • Office hours: W 3-4, R 1-2
• Teaching Assistants
  • TBA
    ALL OFFICE HOURS IN OR OUTSIDE OF ISC 3252

• Prerequisite: BIOL 220, BIOL 225 and MATH 111/131
• Required texts:
  
  • “The Analysis of Biological Data” (2^nd edition), by Whitlock and Schluter
  • “Experimental Design for the Life Sciences” (4^th edition), by Ruxton and Colegrave

• Uploaded on Blackboard each week by Wednesdays at midnight and due on Blackboard by Mondays at 1:00 pm
• Grade will be a combination of the three C’s:
  • Completion
  • Correctness
  • Clarity
• Two lowest homework grades will be replaced by your two highest homework grades
• Homework worth 35% of your grade
• No late homework will be accepted under any circumstances

• Learning skills in Data Science
• Software: R
• Labs due beginning of lab period 1 week after assignment
• Most labs on DataCamp website (www.datacamp.com)
  • Our class has a course website on DataCamp
  • Invite link: https://bit.ly/2wogmtd
  • USE YOUR WM EMAIL ADDRESS
• Lowest lab grade replaced by highest lab grade
• Please see the syllabus for grading scheme
• Labs worth 10% of your grade

• Three in-class midterms (subject to change):
  • Friday, September 28
  • Friday, October 26
  • Friday, November 30
• Each midterm worth 10% of your grade
• Option: Final exam grade can replace lowest midterm grade
• No make-ups will be given!

• Assigned most days for the following class period
• Will be given online on Blackboard
• Worth 5% of your grade

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

• Can we know reality with certainty?
• Is anything certain or known?
• What is evidence?
• What is data?
• What is statistics?

Ruxton & Colegrave:

• Chapter 1: Why you should care about design (pp. 1-7)

QUIZ ONLINE DUE BEFORE FRIDAY CLASS

PDF of Chapter 1 on Blackboard under Assignments

Ruxton & Colegrave:

• Chapter 1: Q 1.1-1.5 (submit Microsoft Word file on Blackboard under Assignments)

Due Monday, September 3, 1 pm

DataCamp - Introduction to R https://www.datacamp.com/courses/free-introduction-to-r

You MUST create an account with your William & Mary email address!!!

Due beginning of your lab period next week