Lectures will be in person, MWF 10.30am (likely in SPH W1020, Becton-Dickinson Auditorium), the labs will be W 1.30pm via zoom. The zoom link will be sent out by email when we are closer to the start of the class, January 21. If you have not received the zoom link by Tuesday January 20, this means your name is not on the SIS roster, and there is a problem with your registration. In this case, please check with your registrar's office.

Please note: This course does not have prerequisites and all students can enroll in 140.615 and 140.616 (passing 140.615 is required to get a grade in 140.616). Especially in the School of Medicine it is not uncommon that your administrator or the registrar for some reason might ask you to contact the instructor to get permission. You do have permision. Here is the official JHSPH page for this class, see Instructor Consent at the bottom. There is no upper limit on the number of registrations.

I plan to record all lectures and labs (disclaimer: technical glitches can happen) and plan to upload them to the CoursePlus page (which will be set up closer to the start of class). Attendance during the live sessions (class and computer lab) is strongly encouraged but not required. In the labs, I will introduce the software environment R, and will go through some code examples, which are often related to the homework.

We will use Course Plus to have a drop box for the Homeworks (more details to follow). The recordings will also be available there. We will not use other environments like CANVAS or Blackboard. We will keep track of your Homework scores separately and will not use the Course Plus grade sheet. The Homeworks will largely consist of sets of data analyses, with a few questions about probability in the beginning.