Epi/Biostats Winter Institute - Introduction to R for Public Health Researchers 140.604.73

Class Website: http://jhudatascience.org/intro_to_r/
CoursePlus: https://courseplus.jhu.edu/core/index.cfm/go/syl:syl.public.view/coid/18000/

Zoom link will be emailed to students.

Day/Time: June 13 - 24: 8:30AM-11:50AM ET on Zoom

Instructors: Carrie Wright (), Ava Hoffman ()

Guest Lecturer: Candace Savonen ()

TAs: Alex Newman (), Frances Wang ()

Communication will mainly occur through Slack and we will email you about how to connect to Slack.

Overview: This course will provide “hands-on” training for learning how to analyze data in the R statistical software package. We will cover data input/output, data management and manipulation, and how to make useful and informative graphics

Course Format: Each class will consist of 2 or 3 hour-long modules: each module features a lecture and an R programming lab, where students apply the skills taught in the modules to real data.

By the end of the course, students should be comfortable:


Zoom + Working Virtually



Grading


  1. Attendance/Participation: 20% (Please let the instructors know if attendance will be difficult for you.)
  2. Homework: 3 x 15%
  3. Final “Project”: 35%

All assignments are due Friday, July 1st, 2022 at 11:59pm EST.

Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.


Submitting Assignments


Submit each assignment to the designated Drop Box on CoursePlus.

You should complete the following:

  1. Data Quest: Introduction to Programming in R
  2. Homework 2 Problem Set:
  3. Homework 3 Problem Set:
  4. Final Project (see below)


Final Projects


This project should entail:

You may use one of these public datasets, a different public dataset, or your own data for the project. If using your own dataset, be sure any sensitive information is protected.

Example projects can be found with the source code: Rmd, and the output html here.

See the guidelines/instructions for final projects.


Code of Conduct


We would like to create an open, safe, welcoming, diverse, inclusive, intellectually stimulating, and hopefully fun class experience.

We strive to be a space in which individual differences are respected, so that each individual can reach their fullest potential.

Guidelines

  • Demonstrating empathy and kindness toward other people
  • Giving and gracefully accepting constructive feedback
  • Avoiding making assumptions about others
  • Being respectful of differing opinions, viewpoints, and experiences
  • Take the time to consider how your speech and actions may influence others
  • Actively seek to acknowledge and respect the boundaries of other members
  • Demonstrating academic integrity
    • Students can work together, but assignments must show unique contributions from the student who turns in the assignment
    • Students can use online resources for help, but assignments must show unique contributions from the student who turns in the assignment - plagiarism is not allowed
    • If students are struggling, reach out to instructors or TAs as early as possible

This applies to emails, surveys, Slack, Zoom, office hours, meetings with other students, instructors, or TAs.

Please reach out to a TA or instructor if you witness or experience a violation of the class guidelines or other JHU codes of conduct.

The University has developed avenues for reporting and for seeking help including:

● JHU Sexual Assault Helpline, 410-516-7333 (confidential) ● Campus Safety and Security, 410-516-7777 ● University Sexual Assault Response and Prevention website ● Johns Hopkins Compliance Hotline, 844-SPEAK2US (844-733-2528) ● JHU Office of Institutional Equity 410-516-8075 (nonconfidential) ● Johns Hopkins Student Assistance Program (JHSAP), 443-287-7000 ● University Health Services - Mental Health (UHS-MS), 410-955-1892 ● The Faculty and Staff Assistance Program (FASAP), 443-997-7000