Independent Work Information

 

Nabhonil Kar '21
The image is example of research performed by Nabhonil Kar '21 who was part of a team that developed a novel machine learning algorithm to identify biological pathways associated with certain cancer phenotypes. 
General Information

To fulfill the independent work requirement of the CSML undergraduate certificate, the project must have a substantial machine learning or statistics component.  Typically, this is achieved in one of two ways: via applied work or via a core methodological contribution.

Applied projects should tackle some domain of intellectual interest in science, engineering, the humanities, etc.  The project should use machine learning or statistical methods in a non-trivial way to analyze the data or in support of an engineering goal.  The project report should go into detail about what these methods were and how they were used.

Example 1
Example 2


Methodological or theoretical projects will push forward our understanding of machine learning or statistical techniques.  Such projects may propose new models, optimizers, inference approaches, estimators, etc.  In this case, the report will primarily serve to explain the idea and then evaluate it empirically and/or theoretically.  The main results of such a project may be theorems or comparisons against alternative techniques.

Example


Presentation of the project at the CSML IW poster session is required.


Important Dates

  • TBA - Title and abstract due and uploaded into Canvas - will be reviewed by faculty. Any comments or guidance will be relayed to you, if necessary.
  • TBA - Final title and abstract due and uploaded into Canvas.
  • TBA - All IW work due: poster, paper and short 2-5 min. video.
  • TBA - An in-person event celebrating SML certificate participants who are presenting IW this year.


Independent Work FAQ

Independent Work Poster Information

 

For the 2022 CSML Poster Session, you will need to submit your assignments and engage in discussions with your fellow students through Canvas.

Instructions for submitting your work.

Please see below the poster requirements as well as past poster winner examples.  If you have questions, please email smlcert@princeton.edu

  • size: 36" x 24"
  • format: PDF, JPG (powerpoint and keynote files are not acceptable.)

FYI:  Please wait to send your title/abstract. I will email you when to send them.


Examples of previous work

 

An example of a poster presentation
An example of a poster presentation
A Poster Presentation Example
 

For more information on when these submissions are due, please review the dates at the top of this page. If you have any questions, please email smlcert@princeton.edu