Schedule


Date Topic Due
19-Jan Practice teaching 1 - General
Introductions, short spontaneous teaching of a non-statistical topic
26-Jan Being a TA
Office hours, running labs, answering email, etc.
Begginning of semester questions (due 1/25 at 5pm)
2-Feb Undergraduate statistics curriculum Read ASA (2014) and Cobb (2015)
Submit 2 discussion questions on each of the readings
Pick a topic to teach next week
9-Feb Practice Teaching 2 - Lecture
Briefly teach a topic in intro stat
Prepare to teach
16-Feb Various pedagogical approaches to classroom teaching Meet with Mine for teaching feedback
23-Feb Practice Teaching 3 - Lecture, take 2
Repeat Practice Teaching 2, with suggested improvements
Prepare to teach
1-Mar Data Science / Statistics Read Baumer (2015) and Hardin et al. (2015)
Submit 2 discussion questions on each of the readings
One page lab visit reflection (form to be posted)
8-Mar Writing a syllabus Syllabus for your course, First Draft
15-Mar Spring Break, no class
22-Mar Alternative approaches: DataFest Read Gould and Cetinkaya-Rundel (2014)
Submit 2 discussion questions on the reading
29-Mar Practice Teaching 4 - Active learning
Longer teaching on a topic of your choice
Prepare to teach
Syllabus for your course, Final Draft (for students not presenting today)
5-Apr Practice Teaching 4 - Active learning
Longer teaching on a topic of your choice
Prepare to teach
Syllabus for your course, Final Draft (for students not presenting today)
12-May Writing a good teaching statement Teaching statement, First Draft
Teaching statement, Peer Assessment (due 4/15 at 5pm)
19-May Miscallenous topics: Online courses, assessment, course evaluations Teaching statement, Final Draft
End of semester questions