This page is subject to change before the start of the course.
Fall 2023 Special Requirement (source)
During this pandemic, it is extremely important that you abide by the public health regulations, the University of Pittsburgh’s health standards and guidelines, and Pitt’s Health Rules. These rules have been developed to protect the health and safety of all of us. Universal face covering is required in all classrooms and in every building on campus, without exceptions, regardless of vaccination status. This means you must wear a face covering that properly covers your nose and mouth when you are in the classroom. If you do not comply, you will be asked to leave class. It is your responsibility have the required face covering when entering a university building or classroom. For the most up-to-date information and guidance, please visit coronavirus.pitt.edu and check your Pitt email for updates before each class.
If you are required to isolate or quarantine, become sick, or are unable to come to class, contact me as soon as possible to discuss arrangements.
Topics to be covered:
See the course schedule for the most up-to-date weekly topics.
This course will use R and/or Python for computing, so fluency in either or both programming languages is required. GitHub will be used for homework and project assignments, where tools such as Jupyter Notebooks or R Markdown will be used for creating reproducible data science documents. Examples in lectures or homework assignments will be mainly in R/Python.
Grades are based on three major activities listed below. Assignments are due as scheduled, and grades on late work will be decreased by 10% per day late. See the assignment page for more details.
Class participation will be assessed through online and in-class discussions. The online discussion will be evaluated through students’ participation in the post-reading discussion on an online forum (i.e., Teams).
There are no required textbooks for this course. This course will use online materials and academic readings. There will be reading assignments over the course of the semester. Links to the electronic copies of these readings will be provided.
The reading assignment will be evaluated via reading reflection submission and in-class discussion.
See the university policies page.