Stat GU4243/G5243 Applied Data Science

Fall 2017 - Teaching Materials (Syllabus)

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4

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Project cycle 1: (Individual) R notebook on presidential addresses

(starter codes)

Week 1 (9/6)

• Introduction to ADS
• Project 1 description
• Tutorial 1 R Notebook + Example
• A tutorial on GitHub

Week 2 (9/13)

• An example R notebook on presidential speeches (zipped folder)
• Interactive Word Cloud
• Discussion and Q&A

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (9/20)

• Project 1 presentations
• Project 2 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 (app)
• Shiny Tutorial (Chengliang Tang) (zipped folder) (online link) + example
• Spatial data visualization
• Discussion and Q&A

Week 5 (10/4)

• Feebback on project 1
• Tutorial on giving presentations
• Brainstorm on project 2

Week 6 (10/11)

• Project 2 presentations

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3:

(starter codes)

Week 6 (10/11)

• Project 3 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
• Example main.Rmd (pdf)

Week 7 (10/18)

• Recap on project 3 requirements and starter codes.
• Tutorial (Chengliang): Basic Image Analysis + SIFT (zipped folder) + MATLAB codes for SIFT

Week 8 (10/25)

• Overview on predictive modeling
• Tutorial on gradient boosting machines (GBM) (Chengliang Tang)
• A shiny app on GBM [R codes]
• We will email you a checklist for project submission on 11/1.
• Project 3 Summary for Spring 2017 (Chengliang Tang)

Week 9 (11/1)

• Project 3 presentations

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 4: Algorithm implementation and evaluation

(starter codes)

Week 9 (11/1)

• Introduction to Project 4

Week 10 (11/8)

• Recap on project 4 requirements.
• Overview of collaborative filtering.
• Overview of the reference papers (Chengliang).
• Example testing report.

Week 11 (11/15)

• Cluster Model (Chengliang Tang)
• Q&A on algorithms
• Team meetings

Thanksgiving break

Week 12 (11/29)

• Project 4 presentations
• Project 3 summary

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Project cycle 5:

Week 13 (12/6)

Shortcuts: Project 1 | Project 2 | Project 3 | Project 4