update readme and syllabus

silviavl · Jan 13, 2022 · 2241439 · 2241439
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diff --git a/CourseInfo/G5243_ADS.md b/CourseInfo/G5243_ADS.md
@@ -9,7 +9,7 @@
 * Instructor: Ying Liu. <[email protected]> [(@yingliug)](https://github.com/yingliug)
 	* Office hours: after class
 * TA: Gan Yuan. <[email protected]> [(@Simon-YG)](https://github.com/Simon-YG)
-	* Office hours: Mondays 10:00 am to 12:00 pm on Zoom
+	* Office hours: Mondays 10:00 am to 12:00 pm on [Zoom](https://columbiauniversity.zoom.us/j/99294357733?pwd=RDA1c2VHSnJZeTY0cmozdU1VYXJEQT09).
 	* Contact preference: through Piazza
 
 * Course websites (all accessible via courseworks or github): 
@@ -38,7 +38,7 @@ This course will have a total of *four* project cycles. Each project cycle follo
 
 Except for project 1, students will be working in teams of 5 that will be randomly formed. For a meaningful experience in data science, students are expected to collaborate and work together on all the stages of a project. Code sharing and brainstorming are great opportunities to learn from each other. 
 
-We will have a total of four project cycles for this course (topics are subject to change):
+We will have a total of five project cycles for this course (topics are subject to change):
 
 1. [Individual] R notebook for exploratory data analysis 
 2. Shiny app for interactive data visualization project.
@@ -57,12 +57,12 @@ Below is a tentative schedule for Spring 2022 we will follow.
 + Week 7 (Mar 2): 3b+3c
 + Week 8 (Mar 9): 3b+3c
 + Spring Break
-+ Week 9 (Mar 16): 3d+4a
-+ Week 10 (Mar 23): 4b+4c
-+ Week 11 (Mar 30): 4b+4c
-+ Week 12 (Apr 6): 4d+5c
-+ Week 13 (Apr 13): 5c
-+ Week 14 (Apr 20): 5d
++ Week 9 (Mar 23): 3d+4a
++ Week 10 (Mar 30): 4b+4c
++ Week 11 (Apr 6): 4b+4c
++ Week 12 (Apr 13): 4d+5c
++ Week 13 (Apr 20): 5c
++ Week 14 (Apr 27): 5d
 
 #### Evaluation
 

diff --git a/Projects_StarterCodes/Project1-RNotebook/README.md b/Projects_StarterCodes/Project1-RNotebook/README.md
@@ -1,13 +1,13 @@
 # Applied Data Science @ Columbia
-## Fall 2021
+## Spring 2022
 ## Project 1: A "data story" on the history of philosophy
 
 <img src="figs/100126-the-glass.jpeg" width="500">
 
 ### [Project Description](doc/)
 This is the first and only *individual* (as opposed to *team*) project this semester. 
 
-Term: Fall 2021
+Term: Spring 2022
 
 + Projec title: Lorem ipsum dolor sit amet
 + This project is conducted by [your name]

diff --git a/README.md b/README.md
@@ -1,147 +1,159 @@
 # Stat GU4243/GR5243 Applied Data Science
 ### Spring 2022 - Teaching Materials ([Syllabus](CourseInfo/G5243_ADS.md))
 
-##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | [Project 5](#project-cycle-5-free-topic)
+
 ----
 ### Project cycle 1: (Individual) R notebook for exploratory data analysis 
 
 ([starter codes](Projects_StarterCodes/Project1-RNotebook))
 
-#### Week 1 (Sep 15)
+#### Week 1 (Jan 19)
 
 + [Introduction to ADS](Tutorials/wk1-Intro.pdf)
 + [Project 1 description](Projects_StarterCodes/Project1-RNotebook/doc/Proj1_desc.md)
 + [Tutorial 1 R Notebook](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk1-RNotebook/wk1-rnotebook.html) + Example: [Repo](https://github.com/TZstatsADS/Fall2018-Proj1-wanghouyaoleyao) | [Knitted HTML R Notebook](http://tzstatsads.github.io/tutorials/proj1_jiaqianyu.html) | [Presentation](https://www.youtube.com/watch?v=tBIuh_tZ98Q&feature=youtu.be) + More Examples: [Repo1](https://github.com/ybliu9/How-Americans-Vote), [Repo2](https://github.com/TZstatsADS/Spring2021-Project1-aidris21), [Repo3](https://github.com/TZstatsADS/Spring2021-Project1-OlhaMaslova), [Repo4](https://github.com/TZstatsADS/Spring2021-Project1-Yytishere)
 + [A tutorial on GitHub](Tutorials/wk1-GitHub_simplified)
 
-#### Week 2 (Sep 22)
-
-+ Recap on last week
-+ [Overview of starter codes](Projects_StarterCodes/Project1-RNotebook)
-+ [An example R notebook on presidential speeches](Tutorials/wk2-TextMining) ([HTML](http://tzstatsads.github.io/tutorials/wk2_TextMining.html))
-+ [Interactive Word Cloud](Tutorials/wk2-TextMining/doc/InteractiveWordCloud.Rmd)
-+ Submission and presentation for project 1
-+ Discussion and Q&A
+#### <!--Week 2 (Jan 26)-->
 
-#### Week 3 (Sep 29)
++ <!--Recap on last week-->
++ <!--[Overview of starter codes](Projects_StarterCodes/Project1-RNotebook)-->
++ <!--[An example R notebook on presidential speeches](Tutorials/wk2-TextMining) ([HTML](http://tzstatsads.github.io/tutorials/wk2_TextMining.html))-->
++ <!--[Interactive Word Cloud](Tutorials/wk2-TextMining/doc/InteractiveWordCloud.Rmd)-->
++ <!--Submission and presentation for project 1-->
++ <!--Discussion and Q&A-->
 
-+ Project 1 presentations.
+#### <!--Week 3 (Feb 2)-->
 
++ <!--Project 1 presentations.-->
 
-[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2021-project1&type=&language=)
+<!--[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2022-project1&type=&language=)-->
 
 ----
-##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+##### <!--Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | [Project 5](#project-cycle-5-free-topic)-->
 
-### Project cycle 2: Shiny App Development
+### <!--Project cycle 2: Shiny App Development-->
 
-([starter codes](Projects_StarterCodes/Project2-ShinyApp))
+<!--([starter codes](Projects_StarterCodes/Project2-ShinyApp))-->
 
-#### Week 3 (Sep 29)
+#### <!--Week 3 (Feb 2)-->
 
-+ [Project 2](Projects_StarterCodes/Project2-ShinyApp) starts.
-  	+ Check Piazza for your project team and *GitHub join link*.
-  	+ After you join project 2, you can **clone** your team's GitHub repo to your local computer. 
-  	+ You can find in the *starter codes* 
-   		+ the project description, 
-   		+ an example **toy** shiny app 
++ <!--[Project 2](Projects_StarterCodes/Project2-ShinyApp) starts.-->
+  	<!--+ Check Piazza for your project team and *GitHub join link*.-->
+  	<!--+ After you join project 2, you can **clone** your team's GitHub repo to your local computer.--> 
+  	<!--+ You can find in the *starter codes*--> 
+   		<!--+ the project description,--> 
+   		<!--+ an example **toy** shiny app--> 
 
-#### Week 4 (Oct 6)
+#### <!--Week 4 (Feb 9)-->
 
-+ [Spatial data visualization](Tutorials/wk4-DataVis.pdf)
-+ Tutorial on project 2 - [Introduction to shiny app](http://tzstatsads.github.io/tutorials/wk3_Tutorial2.html) ([app](Projects_StarterCodes/Project2-ShinyApp/app/))
-+ Shiny Tutorial ([zipped folder](Tutorials/wk4-Shiny_tutorial.zip)) ([online link](https://diane.shinyapps.io/Shiny_tutorial/))
-+ Shiny Examples from previous semesters (Example 1: [Online](https://liqiaosally.shinyapps.io/app1/), [Repo](https://github.com/TZstatsADS/Spring2021-Project2-group6); Example 2: [Online](https://ybliu9.shinyapps.io/CovidSurvivalManual4NewYorkers/), [Repo](https://github.com/TZstatsADS/Spring2021-Project2-group5))
-+ [A note on contribution](Projects_StarterCodes/Project2-ShinyApp/doc/a_note_on_contributions.md)
-+ Discussion and Q&A
++ <!--[Spatial data visualization](Tutorials/wk4-DataVis.pdf)-->
++ <!--Tutorial on project 2 - [Introduction to shiny app](http://tzstatsads.github.io/tutorials/wk3_Tutorial2.html) ([app](Projects_StarterCodes/Project2-ShinyApp/app/))-->
++ <!--Shiny Tutorial ([zipped folder](Tutorials/wk4-Shiny_tutorial.zip)) ([online link](https://diane.shinyapps.io/Shiny_tutorial/))-->
++ <!--Shiny Examples from previous semesters (Example 1: [Online](https://liqiaosally.shinyapps.io/app1/), [Repo](https://github.com/TZstatsADS/Spring2021-Project2-group6); Example 2: [Online](https://ybliu9.shinyapps.io/CovidSurvivalManual4NewYorkers/), [Repo](https://github.com/TZstatsADS/Spring2021-Project2-group5))-->
++ <!--[A note on contribution](Projects_StarterCodes/Project2-ShinyApp/doc/a_note_on_contributions.md)-->
++ <!--Discussion and Q&A-->
 
-#### Week 5 (Oct 13)
+#### <!--Week 5 (Feb 16)-->
 
-+ [Tutorial on SQL in R](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/sql.html)([zipped folder](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-sql.zip))
-+ [Tutorial on RShiny Deployment in GCP](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/Rshiny_GCP.html)
-+ [Tutorial on giving presentations](Tutorials/wk5-MakingPresentation.pdf)
-+ Discussion on project 2
++ <!--[Tutorial on SQL in R](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/sql.html)([zipped folder](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-sql.zip))-->
++ <!--[Tutorial on RShiny Deployment in GCP](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/Rshiny_GCP.html)-->
++ <!--[Tutorial on giving presentations](Tutorials/wk5-MakingPresentation.pdf)-->
++ <!--Discussion on project 2-->
 
-#### Week 6 (Oct 20)
+#### <!--Week 6 (Feb 23)-->
 
-+ Project 2 presentations
++ <!--Project 2 presentations-->
 
-
-[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2021-Project2&type=&language=)
+<!--[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2022-project2&type=&language=)-->
 
 ----
-##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+##### <!--Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | [Project 5](#project-cycle-5-free-topic)-->
 
-### Project cycle 3: Predictive Modeling
+### <!--Project cycle 3: Predictive Modeling-->
 
-([starter codes](Projects_StarterCodes/Project3-WeaklySupervisedLearning))
+<!--([starter codes](Projects_StarterCodes/Project3-WeaklySupervisedLearning))-->
 
-#### Week 6 (Oct 20)
+#### <!--Week 6 (Feb 23)-->
 
-+ [Project 3](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md) starts.
-  + Check Piazza for your project team and GitHub join link at the end of this week.
-  + After you join project 3, you can **clone** your team's GitHub repo to your local computer. 
-  + You can find in the *starter codes* 
-    + [Intro to Project 3](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md)
++ <!--[Project 3](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md) starts.-->
+  + <!--Check Piazza for your project team and GitHub join link at the end of this week.-->
+  + <!--After you join project 3, you can **clone** your team's GitHub repo to your local computer.--> 
+  + <!--You can find in the *starter codes*--> 
+    + <!--[Intro to Project 3](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md)-->
 
 
-#### Week 7 (Oct 27)
+#### <!--Week 7 (Mar 2)-->
 
-+ Recap on [project 3 requirements](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md) and [starter codes](Projects_StarterCodes/Project3-WeaklySupervisedLearning/). 
-+ Tutorials + Q&A
-	+ Tutorials: Basic Image Analysis [in Python](Tutorials/wk7-OpenCV_tutorial/Basic_Image_Analysis.ipynb), [in R](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk7-imageanalysis_R.html) ([zipped folder](Tutorials/wk7-ImageAnalysis_R.zip))
-	+ [Overview on Weakly Supervised Learning](Tutorials/wk7-WSL_tutorial/Tutorial_WSL.slides.html)
++ <!--Recap on [project 3 requirements](Projects_StarterCodes/Project3-WeaklySupervisedLearning/doc/project3_desc.md) and [starter codes](Projects_StarterCodes/Project3-WeaklySupervisedLearning/).--> 
++ <!--Tutorials + Q&A-->
+	+ <!--Tutorials: Basic Image Analysis [in Python](Tutorials/wk7-OpenCV_tutorial/Basic_Image_Analysis.ipynb), [in R](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk7-imageanalysis_R.html) ([zipped folder](Tutorials/wk7-ImageAnalysis_R.zip))-->
+	+ <!--[Overview on Weakly Supervised Learning](Tutorials/wk7-WSL_tutorial/Tutorial_WSL.slides.html)-->
 
 
 
-#### Week 8 (Nov 3) 
+#### <!--Week 8 (Mar 9)--> 
 
-+ Project submission checklist (on piazza)
-+ [Overview on predictive modeling](Tutorials/wk8-TutorialModelSelection.pdf)
-+ Discussion
++ <!--Project submission checklist (on piazza)-->
++ <!--[Overview on predictive modeling](Tutorials/wk8-TutorialModelSelection.pdf)-->
++ <!--Discussion-->
 
-#### Week 9 (Nov 10) 
+#### <!--Spring Break (Mar 16)-->
 
-+ Project 3 submission and presentations
+#### <!--Week 9 (Mar 23)--> 
 
++ <!--Project 3 submission and presentations-->
 
-[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2021-project3&type=&language=)
+<!--[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2022-project3&type=&language=)-->
 
 ----
-##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) 
+##### <!--Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) |  [Project 5](#project-cycle-5-free-topic)-->
+
+### <!--Project cycle 4: Algorithm implementation and evaluation-->
 
-### Project cycle 4: Algorithm implementation and evaluation
+<!--([starter codes](Projects_StarterCodes/Project4-MachineLearningFairness))-->
 
-([starter codes](Projects_StarterCodes/Project4-MachineLearningFairness))
+#### <!--Week 9 (Mar 23)--> 
 
-#### Week 9 (Nov 10) 
++ <!--Introduction to [Project 4](Projects_StarterCodes/Project4-MachineLearningFairness/doc/project4_desc.md)-->
 
-+ Introduction to [Project 4](Projects_StarterCodes/Project4-MachineLearningFairness/doc/project4_desc.md)
+#### <!--Week 10 (Mar 23)-->
 
-#### Week 10 (Nov 17)
++ <!--Recap on project 4 requirements.-->
++ <!--[Machine Learning Fairness Introduction](Tutorials/wk10-Intro_ML_fairness.pdf)-->
++ <!--[Overview of the Methods from the reference papers](Tutorials/wk10-Overview_Machine_Learning_Fairness_Methods.pdf)-->
++ <!--Method assignment on Piazza-->
 
-+ Recap on project 4 requirements.
-+ [Machine Learning Fairness Introduction](Tutorials/wk10-Intro_ML_fairness.pdf)
-+ [Overview of the Methods from the reference papers](Tutorials/wk10-Overview_Machine_Learning_Fairness_Methods.pdf)
-+ Method assignment on Piazza
+#### <!--Week 11 (Dec 1)-->
 
++ <!--Discussion-->
 
-#### Thanksgiving Break
 
-#### Week 11 (Dec 1)
+#### <!--Week 12 (Dec 8)-->
+
++ <!--Project 4 presentations-->
++ <!--Project 3 Summary on Piazza-->
+
+<!--[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2022-project4&type=&language=)-->
+
+----
 
-+ Discussion
+##### <!--Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)--> 
 
+### <!--Project cycle 5: Free topic-->
 
-#### Week 12 (Dec 8)
+#### <!--Week 13 (Apr 24)-->
 
-+ Project 4 presentations
-+ Project 3 Summary on Piazza
++ <!--[Project 3 summary](/Tutorials/wk12-project3summary/)-->
++ <!--Project 5 discussions-->
 
+#### <!--Week 14 (May 1)-->
 
++ <!--Project 5 Presentations-->
 
-[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2021-project4&type=&language=)
+<!--[Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2022-project5&type=&language=)-->
 
 ----
 
-##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+##### <!--Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4-->](#project-cycle-4-algorithm-implementation-and-evaluation)