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:

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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?

Meet your group

• What was the goal?
• How big should the groups be?
• Which questions?

Introductions

• How personal should you be?

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?