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Projects

Materials and outlines for the Final Project for COGS108.

Carefully read through all the details you'll need to know for your COGS108 Final Project.

• Option 1: Group (pdf here)
• Option 2: Individual (pdf here)

Project Schedule

Project Proposal

Due Friday, Oct 23 (11:59 PM)

Final Project

Due Wed, Dec 16 (11:59 PM) - Finals Week

Project Templates

Option 1: Group Project

• Proposal
• Final Project

Option 2: Individual Project

• Proposal
• Final Project

Final Project Checklist

Students often ask for a rubric. You can use this checklist to help guide your thinking on the final project. If you check off all the boxes below, you should be in good shape to get a perfect score on your final project.

Overview, Question & Background

Overview:

• Write a clear summary of what you did
• Briefly describe the results of your project
• Limit overview to 3-4 sentences

Research Question:

• Include a specific, clear data science question
• Make sure what you're measuring (variables) to answer the question is clear

Background & Prior Work:

• Include a general introduction to your topic
• Include explanation of what work has been done previously
• Include citations or links to previous work

Hypothesis:

• Include your team's hypothesis
• Ensure that this hypothesis is clear to readers
• Explain why you think this will be the outcome (what was your thinking?)

Dataset(s):

• Include an explanation of dataset(s) used (i.e. features/variables included, number of observations, information in dataset)
• Source included (if outside dataset(s) being used)

Data Analysis:

<<<<<<< HEAD Data Cleaning & Pre-processing:

• Perform Data Cleaning and explain steps taken OR include explanation as to why data cleaning was unnecessary (how did you determine your dataset was ready to go)
• Dataset is actually clean and usable after data wrangling steps carried out ======= Data Cleaning & Pre-processing
• Perform Data Cleaning and explain steps taken OR include an explanation as to why data cleaning was unnecessary (how did you determine your dataset was ready to go)
• Dataset actually clean and usable after data wrangling steps carried out

542161c7326dcf0862e28bf4adb1630bdfbc0ce5

Data Visualization:

• Include at least three visualizations
• Clearly label all axes on plots
• Type of all plots appropriate given data displayed
• Interpretation of each visualization included in the text

Data Analysis & Results:

• EDA carried out with explanations of what was done and interpretations of output included
• Appropriate analysis performed
• Output of analysis interpreted and interpretation included in notebook

Privacy/Ethics Considerations:

• Thoughtful discussion of ethical concerns included
• Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.)

Conclusion & Discussion:

• Clear conclusion (answer to the question being asked) and discussion of results
• Limitations of analysis discussed
• Does not ramble on beyond providing necessary information

Final Checks:

• Edit all text for clarity
• Remove all instructions
• Check to make sure all text and images are visible
• Names and IDs included
• Renamed file :
  • Option 1: FinalProject_groupXXX.ipynb, where 'XXX' is replaced by your group's group number
  • Option 2: FinalProject_GH.ipynb, where 'GH' is replaced by your GitHub Username