wk1

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diff --git a/.DS_Store b/.DS_Store
diff --git a/4-Fall2017/.DS_Store b/4-Fall2017/.DS_Store
diff --git a/4-Fall2017/README.md b/4-Fall2017/README.md
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+# Stat GU4243/G5243 Applied Data Science
+### Fall 2017 - Teaching Materials ([Syllabus](CourseInfo/G5243_Fall_2017_ADS.md))
+
+##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-on-presidential-addresses) | [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 1: (Individual) R notebook on presidential addresses 
+([starter codes](/Projects_StarterCodes/Project1-RNotebook))
+#### Week 1 (9/6)
++ [Introduction to ADS](Tutorials/wk1-Intro.pdf)
++ [Project 1 description](Projects_StarterCodes/Project1-RNotebook/doc/Proj1_desc.md)
++ [Tutorial 1 R Notebook](https://cdn.rawgit.com/TZstatsADS/ADS_Teaching/04f772cb/Tutorials/tutorial_rnotebook.html) + [Example](https://github.com/TZstatsADS/Fall2016-proj1-grp7)
++ [A tutorial on GitHub](Tutorials/wk1-GitHub_simplified)
+
+#### Week 2 (9/13)
++ [An example R notebook on presidential speeches](Tutorials/wk2-TextMining) ([zipped folder](Tutorials/wk2-TextMining.zip))
++ [Interactive Word Cloud](Tutorials/wk2-TextMining/doc/InteractiveWordCloud.Rmd)
++ Discussion and Q&A
+
+----
+##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-on-presidential-addresses) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+
+### Project cycle 2: Shiny App Development
+([starter codes](/Projects_StarterCodes/Project2_OpenData))
+#### Week 3 (9/20)
++ Project 1 presentations
++ [Project 2](Projects_StarterCodes/Project2_OpenData/doc/project2_desc.md) 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 
+    + a short tutorial to get you started.
+
+#### Week 4 (9/27)
++ Tutorial on project 2 - [Introduction to shiny app](https://cdn.rawgit.com/TZstatsADS/ADS_Teaching/2551e1df/Projects_startercodes/Project2_OpenData/doc/Tutorial2.html) ([app](Projects_StarterCodes/Project2_OpenData/app/))
++ Shiny Tutorial (Chengliang Tang) ([zipped folder](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk4-Shiny_tutorial.zip)) ([online link](https://chengliangtang.shinyapps.io/shiny_tutorial_2017fall/)) + [example](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk4-shiny-example.zip)
++ [Spatial data visualization](Tutorials/wk4-DataVis.pdf)
++ Discussion and Q&A
+
+#### Week 5 (10/4)
++ Feebback on project 1
++ [Tutorial on giving presentations](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/MakingPresentation.pdf)
++ Brainstorm on project 2
+
+#### Week 6 (10/11)
++ Project 2 presentations
+
+----
+##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-on-presidential-addresses) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+
+### Project cycle 3: 
+([starter codes](Projects_StarterCodes/Project3_PoodleKFC))
+
+#### Week 6 (10/11)
++ [Project 3](Projects_StarterCodes/Project3_PoodleKFC/doc/project3_desc.md) starts.
+  + Check Piazza for your project team and GitHub join link.
+  + After you join project 3, you can **clone** your team's GitHub repo to your local computer. 
+  + You can find in the *starter codes* 
+    + the project description, 
+    + an example project 
++ [Intro to Project 3](Tutorials/wk6-Project_evaluation.pdf) 
++ [Example `main.Rmd`](Projects_StarterCodes/Project3_PoodleKFC/doc/main.Rmd) ([pdf](Projects_StarterCodes/Project3_PoodleKFC/doc/main.pdf))
+
+#### Week 7 (10/18)
++ Recap on project 3 requirements and starter codes.
++ Tutorial (Chengliang): [Basic Image Analysis](https://cdn.rawgit.com/TZstatsADS/ADS_Teaching/eda5671a/Tutorials/wk7-Image%20Analysis/EBImage/image_analysis.html) + [SIFT](https://cdn.rawgit.com/TZstatsADS/ADS_Teaching/17cda16a/Tutorials/wk7-Image%20Analysis/EBImage%26SIFT/advanced_image_analysis.html) ([zipped folder](/Tutorials/wk7-Image%20Analysis.zip)) + [MATLAB codes for SIFT](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk7-Image%20Analysis/MATLAB_sift.zip)
+
+#### Week 8 (10/25)
++ [Overview on predictive modeling](Tutorials/wk8-TutorialModelSelection.pdf)
++ [Tutorial on gradient boosting machines (GBM)](Tutorials/wk8-GBM_tutorial.pdf) (Chengliang Tang)
++ [A shiny app on GBM](https://tz33cu.shinyapps.io/Tutorial7-GBM/) [[R codes](https://github.com/tz33cu/Data-Science-with-R/tree/master/Tutorials/Tutorial7-GBM)]
++ We will email you a checklist for project submission on 11/1.
++ [Project 3 Summary for Spring 2017](https://cdn.rawgit.com/TZstatsADS/ADS_Teaching/a8d4e965/Tutorials/wk13-proj3Summary/project3_summary.html) (Chengliang Tang)
+
+#### Week 9 (11/1) 
+
+
+----
+##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-on-presidential-addresses) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) 
+
+### Project cycle 4: 
+
+#### Week 9 (11/1)
+
+#### Week 10 (11/8)
+
+
+#### Week 11 (11/15)
+
+#### *Thanksgiving break*
+
+#### Week 12 (11/29)
+
+----
+### Project cycle 5: 
+
+#### Week 13 (12/6)
+
+#### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-on-presidential-addresses) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation)
+