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Class overview
STA 101 introduces students to the discipline of statistics as a science of understanding and analyzing data. Throughout the semester, students will learn how to effectively make use of data in the face of uncertainty: How to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
This course consists of lectures, hands-on lab sessions, application exercises and problem sets. There will be a mid-term exam and a final exam, as well as a group data analysis project.
Class times
Lectures: MTuWThF 10:00-11:15am (EDT), synchronous on Zoom (link in Sakai)
Labs:
- Synchronous session: TuTh 7-8:15pm (EDT), on Zoom (link in Sakai)
- Asynchronous session: recordings of the live session will be posted on Sakai
Key dates
May 28: Mid-term exam; 2 hours, self-chosen between 00:01am May 28 and 11:59pm May 30
June 4: Project proposal due by 11:59pm
June 17 & 18: Project presentations (in class)
June 21: Project report due by 11:59pm
June 23: Final exam; 2 hours, self-chosen between 12am June 23 and 12pm June 24
Schedule
Please refer to the following document for our schedule. For PS (problem sets), go to the "Problem sets" page; for AE (application exercises), go to the "Application exercises" page.
NOTE: All due assignments should be submitted by 11:59pm (EDT) on the due day. The schedule is subject to change depending on the needs of the class.
STA101-Schedule.pdfPage updated
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