AE 14: Quantifying uncertainty

Announcements

• Lab 05 due Thu, Oct 7 at 11:59pm

• HW 03 due Wed, Oct 13 at 11:59p

• Week 08 prepare

• Ed Discussion for today’s class: https://edstem.org/us/courses/8027/discussion/689010

Upcoming events

UConn Sports Analytics Conference - October 9 - Cost is $5 for students. - Go to statds.org/events/ucsas2021 for more information

HackDuke Code for Good - October 23 - 24

• Free event but registration required
• Go to 2021.hackduke.org for more information.

Grading

• See Gradescope for grading and feedback on Exam 01. Solutions available on Sakai.

• Mid-semester grades are available on DukeHub. Grades were calculated using the formula below and letter grade thresholds in the syllabus.

#Note: all averages rescaled to be out of 100 points

Total_Points <- 
  Mean(HW01, HW02) * 0.25 + 
  Mean(Lab01, Lab02, Lab03, Lab04) * 0.15 + 
  Exam01 * 0.175 + 
  Sum(PrepQuiz01, PreqQuiz02, PrepQuiz03)/15 * 0.05 + 
  Mean(AE06 - AE11) * 0.025

Grade <- Total_Points / (0.25 + 0.15 + 0.175 + 0.05 +0.025)

AE 14: Quantifying uncertainty

• Go to the ae-14-[GITHUB USERNAME] rep in the GitHub course organization: https://github.com/sta199-fa21-003

• Access the RStudio Docker containers at https://vm-manage.oit.duke.edu/containers

• See the Lab 01 instructions for details on cloning the repo and starting a new project in RStudio.

Introduce project

Instructions available at sta199-fa21-003.netlify.app/project