Schedule

DATA courses typically put this page as thier homepage.

To set this up for your course, edit the YML files in _data/. Start with syllabus.yml to set up basic information about the calendar (semester start and end dates, holidays, when lectures are held, etc.). Then edit the other YML files to add the course components to the schedule.

We assume that lectures, labs, discussions, readings, and homeworks happen with a regular weekly cadence whereas projects are more sparse. If you want to set dates specifically for course components, examine how projects are set up in _data/projects.yml and _inclides/schedule.html. Note that projects are the only course component that does not have project_days (project equivalent of class_days) set in _data/syllabus.yml.

We also recommend moving to use the _lectures collection to distribute slides, code, and other materials for lectures. This will keep the schedule cleaner. You can compare using this recommended approach used by Data 100 to Data 88E which does not use the _lectures collection.

Week 1: Introduction

Mon, Jan 19
Academic and Administrative Holiday
Tue, Jan 20
Discussion 0Discussion 0
Lab 1Lab 1
Reading Introduction
Thu, Jan 22
Fri, Jan 23
Homework 1HW 1

Week 2

Mon, Jan 26
Tue, Jan 27
Discussion 1Discussion 1
Lab 2Lab 2
Thu, Jan 29
Homework-dueHW 1
Fri, Jan 30
Homework 2Homework 2

Week 3: Pandas and API

Mon, Feb 02
QUIZ 2
Tue, Feb 03
Lecture 5 EDA II
Discussion 2Discussion 2
Lab 3Lab 3
Thu, Feb 05
Homework-dueHomework 2
Fri, Feb 06
Homework 3Homework 3

Week 4: Surveys and RCTs

Mon, Feb 09
QUIZ 3
Tue, Feb 10
Wed, Feb 11
Exam Midterm Exam, 7-9pm
Thu, Feb 12
Homework-dueHomework 3
Fri, Feb 13

Week 5: Visualization

Mon, Feb 16
Academic and Administrative Holiday
Tue, Feb 17
No Lecture
Discussion 3Discussion 3
Lab 4Lab 4
Thu, Feb 19
Fri, Feb 20
Homework 4Homework 4

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