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 here

Project Schedule

Project Proposal

Due Friday, Jan 31, 11:59 PM

Project Check-In

Due Friday, Feb 21, 11:59 PM

Final Project

Due Thursday, Mar 19, 11:59 PM (Finals Week)

Project Templates

• Proposal
• Check-In
• 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
• Limit overview to 3-4 sentences

Research Question:

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

Background & Prior Work:

• 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

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 actually clean and usable after data wrangling steps carried out

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 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, 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 FinalProject_group000.ipynb, where '000' is replaced by your group's group number