Stat GR4243/5243 Applied Data Science

Spring 2019 - Teaching Materials (Syllabus)

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

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Project cycle 1: (Individual) R notebook for exploratory data analysis

(starter codes)

Week 1 (Jan 23)

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

Week 2 (Jan 30)

• An example R notebook on presidential speeches
  • zipped folder
  • known running issues & solutions, prepared by Yang Yang @jokerkeny
• Overview of starter codes
• Interactive Word Cloud
• Data Story Examples: Example 1 (repo), Example 2.
• Discussion and Q&A

Finished student projects

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Shortcuts: Project 1 | Project 3 | Project 4

Project cycle 2: Shiny App Development

(starter codes)

Week 3 (Feb 6)

• 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 (Feb 13)

• Spatial data visualization
• Tutorial on project 2 - Introduction to shiny app (app)
• Shiny Tutorial (zipped folder) (online link) + example
• Shiny Example (link)
• Discussion and Q&A

Week 5 (Feb 20)

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

Week 6 (Feb 27)

• Project 2 presentations

Finished student projects

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Shortcuts: Project 1 | Project 2 | Project 4

Project cycle 3: Predictive Modeling

(starter codes)

Week 6 (Feb 27)

• 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
    • Intro to Project 3
    • an example main.rmd that provides an example structure for this project. Example main.Rmd

Week 7 (Mar 6)

• Tutorials + Q&A
  • Tutorials: Basic Image Analysis (zipped folder) + Super Resolution (zipped folder)
  • Tutorial on gradient boosting machines (GBM)
    • A shiny app on GBM [R codes]
  • Recap on project 3 requirements and starter codes.

Week 8 (Mar 13)

• Overview on predictive modeling
• Tensorflow Tutorial + Image Interpolation with Tensorflow
• Project submission checklist
• Discussion

Spring break

Week 9 (Mar 27)

• Project 3 submission and presentations

Finished student projects

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Shortcuts: Project 1 | Project 2 | Project 3

Project cycle 4: Algorithm implementation and evaluation

Week 9 (Mar 27)

• Introduction to Project 4
• Overview of the reference papers.
• Tutorials + Discussion

Weeks 10 & 11 (Apr 3 & 10)

• Q&A on Algorithms
• Team Meeting

Week 12 (Apr 17)

• Project 4 presentations
• Project 5 discussions

Finished student projects

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

Project cycle 5:

Week 13 (Apr 24)

• Project 3 summary
• Project 5 discussions

Week 14 (May 1)

• Project 5 Presentations

Finished student projects

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