Analyzing linguistic data: schedule


This schedule is subject to change.

Assignments are due at class time (11am) on their due date. Please submit assignments online on Canvas unless the assignment tells you otherwise.

Readings can be done either before or after class (unless noted otherwise); they are chosen to support the material covered in class.

Week 1

Foundations of programming                                                                                 

Week 2

  • Jan 26 Exploring and visualizing data
    • Code for download: exploring data.
    • We use the inaugural speeches dataset available on Canvas as inaugural.csv. Please put it in the same directory as your Jupyter notebooks.

  • Jan 28 We continue on exploring and visualizing data.
    • Code: same worksheet as Jan 26.

Week 3

Week 4

Text processing                                                                                                             

Week 5

  • Feb 16 Class canceled due to inclement weather.

  • Feb 18 Class canceled due to inclement weather

Week 6

  • Feb 23: Class canceled due to inclement weather

Material we did not cover synchronously in class


Summarizing and exploring data                                                                                           

Week 7

Week 8

Week 9

Spring break                                                                                 

Week 10

Risky conclusions: Hypothesis testing                                                                                      

Week 11

  • Mar 30 A hypothesis test that is particularly useful for text data: chi-squared

More programming                                                                          

Week 12

Correlation                                                                          

Week 13

Week 14

Week 15

    • April 27 Practicing regression
      • Homework 4 due


    • April 29 What is the connection between ANOVA and regression?

    Week 16

    Project presentations                                                                         

    • May 4: In person meeting: Project presentations
      • You can also present your project via zoom. Do what is safe for you.
      • We have 7 minutes for each group. 
      • Schedule (made using Python's random.shuffle()):
      • 11:00 Richard McCanlies
      • 11:07 Teddy Mutiga
      • 11:14 Vittoria Byland
      • 11:21 Gonsala Chavez
      • 11:28 Prachi Shah
      • 11:35 Hayden Shaw
      • 11:42 Francesco Leone
      • 11:49 Sunny Ananthanarayan
      • 11:56 Eliza Anzualda and Kristen Shotton

    • May 6: In person meeting: Project presentations
      • You can also present your project via zoom. Do what is safe for you.
      • Schedule:
      • 11:00 Yuhao Dai
      • 11:07 Angelo Ganichaux
      • 11:14 Grace Kim
      • 11:21 Grey Sandstrum and Galina Bouyer
      • 11:28 Kinda Nahas
      • 11:35 Eddie Castillo and Austin Rinn
      • 11:42 McGhee and Autumn Spalding
      • 11:49 Michael Sullivan

    Final report due: Sunday May 16, end of day.
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