Teaching Statistics and Data Science

STAT 375 UC Berkeley

Agenda

  1. Introductions

  2. Course Structure

  3. Community Standards

  4. Asking Why

Meet your group

  • In your groups, take turns introducing yourselves and sharing:
    • Your name and preferred pronouns
    • Your year and major
    • What class you are teaching
    • Memory of your best teacher and what made them so effective
  • You have 7 minutes
07:00

Introductions

Course Structure

Syllabus available on course website:

<>

Community Standards

In your groups, please agree upon:

  1. Three adjectives that describe a class environment is conducive to everyone learning
  2. Three adjectives that describe a class environment that is not conducive to everyone learning

Then post them to the padlet:

https://tinyurl.com/mrvpdpnp

You have 8 minutes.

08:00

Course Goals

Train the habit of asking why you are teaching something one way or another.

Judge your teaching not by your knowledge of statistics / data science, but by your student’s.

Critique of this class so far…

What worked? What didn’t? How can we change it?

::: {.column width = “50%”} ### Meet your group - What was the goal? - How big should the groups be? - Which questions?

Introductions

  • How personal should you be?

::: {.column width = “50%”} ### Syllabus - What were your main takeaways? - How else could this information be presented?

Community Standards

  • What was the feel of the group discussion?
  • Was everyone participating? :::

::::

Break until 3:15

GSI Panel

Isaac Schmidt

Chad Breece