2017-05-17

## Introduction

## Outline of Workshop

## Our Textbook

## ModernDive and Our Syllabi

- ModernDive's guiding philosophies are deeply intertwined our syllabi
- Hard to speak of ModernDive in isolation from syllabi and vice-versa
- Numbers are numbers, but data has context…

## Context & Background

## Albert's Course

- Introduction to Statistical & Data Sciences: Webpage and GitHub Repo
- Administrative:
- Chief non-econ/bio stats service class at Middlebury
- 12 weeks each with 3h "lecture" + 1h "lab"

- Students:
- ~24 students/section of all years/backgrounds. Only stats class many will take
- Background: Many had AP stats, some with programming
- All had laptops that they brought everyday

## Albert's Syllabus

- Topic List
**First half is data science**: data visualization, manipulation, importing
**Second half is intro stats**: sampling, hypothesis tests, CI, regression

- Evaluation
- 10%: weekly problem sets
- 10%: engagement
- 45%: 3 midterms (last during finals week)
**35%: Final projects**

## Albert's Typical Classtime

- First 10-15min: Priming topic, either via slides or
**chalk talk**
- Remainder: Students read over text & do
**Learning Checks** in groups and without direct instructor guidance.