DS4UX (Spring 2016)/Schedule: Difference between revisions

Revision as of 00:00, 26 March 2016

Week 1: March 28

Day 1 plan

Assignments due

fill out the pre-course survey

Class schedule

Quick introductions — Be ready to introduce yourself and describe your interest and goals in the class.
Class overview and expectations — We'll walk through this syllabus.
Installation and setup — You'll install software including the Python programming language and run through a series of exercises.
Self-guided tutorial and exercises — You'll work through a self-guided tutorial introducing you to some basic concepts. When you're done, you'll meet with the instructor or TA and we'll check you off.
Interactive lecture: programming concepts 1

command line basics
variables, types, lists, dictionaries, tuples

Homework

Python quiz #1

Resources

Python for Informatics Chapter 1

Week 2: April 4

Day 2 plan

Class schedule

Lecture — working with data

flow control
modules
user-defined functions

Exercises

Reading data from a flat file (interactively & from a script)

Homework

Python quiz #2
Coding challenges
Set up a Wikimedia account

Resources

followup

Week 3: April 11

Day 3 plan

Class schedule

Day 3 lecture - working with web data 1 (APIs)
programming concepts 3

APIs
JSON

Exercises

Practice in API sandboxes
Requesting data from an API using Python

Homework

Python quiz #3
Day 3 coding challenges

Resources

go here

Week 4: April 18

Day 4 plan

Class schedule

Day 4 lecture - working with web data 2 (SQL)
introduction to the Wikipedia database
programming concepts 4

SQL queries
advanced API queries

final project discussion 1

data sources
research questions
outline of project idea and project plan deliverables

Exercises

MYSQL queries with Quarry
SOQL queries with Hurl.it and Python

Homework

Python quiz #4
Day 4 coding challenges

Resources

go here

Week 5: April 25

Day 5 plan

Assignments due

Final project ideas

Class schedule

Day 5 lecture - visualizing data
Introduction to Jupyter notebooks
Jupyter notebooks 1

importing data with SQL and API queries
data manipulation with Jupyter

Exercises

visualize Seattle building permit data

Homework

Python quiz #5
Day 5 coding challenges

Resources

go here

Week 6: May 2

Day 6 plan

Class schedule

Day 6 lecture - working with text
Jupyter notebooks 2

basic regular expressions
graphing data with MatPlotLib

Exercises

counting mentions and welcomes in the Teahouse corpus
plotting trends over time in the Teahouse corpus

Homework

Day 6 coding challenges

Resources

go here

Week 7: May 9

Day 7 plan

Assignments due

Final project plan

Class schedule

Day 7 lecture - describing data with statistics
Jupyter notebooks 3

running statistics with SciPy

Exercises

plotting Burke-Gilman bike traffic on rainy days

Coding challenges

Day 7 coding challenges

Resources

go here

Week 8: May 16

Day 8 plan

Class schedule

Day 8 lecture - research study design

Exercises

Replicate Teahouse invite A/B test

Coding challenges

Day 8 coding challenges

Resources

go here

Week 9: May 23

Day 9 plan

Class schedule

Day 9 lecture - communicating your findings
review of key concepts and tools
presentation practice

Homework

goes here

Resources

go here

Week 10: May 30

Class schedule

TBD

Week 11: June 6

Assignments due

final projects due by midnight on Wednesday, 6/8/2016

Class schedule

No class this week!

@@ Line 20: / Line 20: @@
 ;Resources
 * ''[http://www.pythonlearn.com/html-009/book002.html Python for Informatics Chapter 1]''
 === Week 2: April 4 ===
@@ Line 28: / Line 29: @@
 :*flow control
 :*modules
-:user-defined functions
+:*user-defined functions
 ;Exercises
@@ Line 40: / Line 41: @@
 ;Resources
 *[[DS4UX_(Spring_2016)/Day_2_followup|followup]]
 === Week 3: April 11 ===
@@ Line 61: / Line 63: @@
 ;Resources
 *''go here''
 === Week 4: April 18 ===
@@ Line 78: / Line 81: @@
 ;Exercises
 *MYSQL queries with Quarry
-*SPARQL queries with Hurl.it and Python
+*SOQL queries with Hurl.it and Python
 ;Homework
@@ Line 98: / Line 101: @@
 *Introduction to Jupyter notebooks
 *Jupyter notebooks 1
-:*importing data with SQL and API queries
+:* importing data with SQL and API queries
+:* data manipulation with Jupyter
+;Exercises
+* visualize Seattle building permit data
-;Coding challenges
+;Homework
+*Python quiz #5
 *[[DS4UX_(Spring_2016)/Day_5_coding_challenge|Day 5 coding challenges]]
@@ Line 112: / Line 119: @@
 ;Class schedule
-*[[DS4UX_(Spring_2016)/Day_6_lecture|Day 6 lecture]]
+* [[DS4UX_(Spring_2016)/Day_6_lecture|Day 6 lecture]] - working with text
+* Jupyter notebooks 2
+:* basic regular expressions
+:* graphing data with MatPlotLib
+;Exercises
+* counting mentions and welcomes in the Teahouse corpus
+* plotting trends over time in the Teahouse corpus
-;Coding challenges
+;Homework
 *[[DS4UX_(Spring_2016)/Day_6_coding_challenge|Day 6 coding challenges]]
@@ Line 128: / Line 142: @@
 ;Class schedule
-*[[DS4UX_(Spring_2016)/Day_7_lecture|Day 7 lecture]]
+* [[DS4UX_(Spring_2016)/Day_7_lecture|Day 7 lecture]] - describing data with statistics
+* Jupyter notebooks 3
+:* running statistics with SciPy
+;Exercises
+* plotting Burke-Gilman bike traffic on rainy days
 ;Coding challenges
@@ Line 135: / Line 154: @@
 ;Resources
 *''go here''
@@ Line 142: / Line 160: @@
 ;Class schedule
-*[[DS4UX_(Spring_2016)/Day_8_lecture|Day 8 lecture]]
+* [[DS4UX_(Spring_2016)/Day_8_lecture|Day 8 lecture]] - research study design
+;Exercises
+* Replicate Teahouse invite A/B test
 ;Coding challenges
@@ Line 155: / Line 176: @@
 ;Class schedule
-*[[DS4UX_(Spring_2016)/Day_9_lecture|Day 9 lecture]]
+* [[DS4UX_(Spring_2016)/Day_9_lecture|Day 9 lecture]] - communicating your findings
+* review of key concepts and tools
+* presentation practice
-;Coding challenges
+;Homework
-*[[DS4UX_(Spring_2016)/Day_9_coding_challenge|Day 9 coding challenges]]
+* ''goes here''
 ;Resources
@@ Line 168: / Line 191: @@
 ;Class schedule
 *TBD