Final Project Overview
You have two options to complete the final project. Graduate students must choose [Option
2] . The project is due by 11:59 PM, Thur, Dec 11th.
- [Option 1] I will provide you with a dataset
(usually large with complex structures). You will be asked to perform
the following:
- A brief literature review
- A series of unsupervised learning, classification and regression
tasks
- Present and interpret your results
- Your are encouraged to schedule a meeting with me before the end of
Nov to review and discuss the progress of your project
- You can volunteer to present your project by the end of the
semester. However, this will not affect your final score. Decision needs
to be made before 5PM, Nov 1st.
- [Option 2] You can also propose a data analytic
problem yourself
- Mandatory for graduate students (4 Credit Hours), but undergraduate
can also use this option
- The data can come from a public data repository, but it should be
sufficiently large and complex
- The goal of this project cannot be a simple classification or
regression problem
- You need my approval. To do this, you and your team
need to set up a meeting with me no
later than Oct 24th to discuss your analysis goal and
the plan before you start working on the project.
- Once approved, use this [google spreadsheet]
- Project update Your team needs to communicate and
report to me regarding your progression at least one more time before
the final presentation. You can also schedule meetings with me during
this process.
- In addition to submitting the final project report,
which should have a similar format as [Option 1], your
team must also do a 15 min in class presentation of your
project. The presentation will be scheduled during the last two
weeks.
For both options, each team can have up to three team
members. You should think about forming a team early. Here are
several previous final projects, with some presentations. Please note
that some of the policies in previous years may not apply to
this semester. Make sure that you read the current semester’s
requirement carefully.
Final Project [Option 1]: TBA
Self-Proposed Project [Option 2] Presentations
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