CS 66 Mid-term Project Two-Page Poster

Due Thursday, October 6th, by midnight (23:59 EST)

Announcements

1. Your mid-term project

  • Select one from the following three machine learning topics:

  • (Directly select one from your lab 3,4, or 5, and extend it for the midterm)

    1. Classification (Supervised Learning, Iris dataset)

    2. Regression (Supervised Learning, Diabetes dataset)

    3. Clustering (Unsupervised Learning, Iris dataset)

  • Write the midterm paper in AAAI format. Your drafts should include:

  • Title, anonymous authors, and Abstract

    1. Introduction

    2. Related work

  • Write the Section of Introduction in your midterm paper

    1. Research Questions

    2. Motivation

  • Write the Section of Related work in your midterm paper

    1. Literature Review

    2. State-of-the-art

  • (Optional) Write the code to compare the performance of machine learning algorithms

    1. The Algorithms you Select

    2. The Dataset you select

    3. This is an extension of the lab (3,4 or 5) you pick.

    4. This is optional for the midterm but will be required for the final project.

  • Your midterm paper should be a starting point to consider the rest of the final paper.

  • Your final paper will also include the following sections:

  • Method

  • Result

  • Discussion

  • Conclusion

  • Add more details to your lab 5, and extend the topic you select for the midterm.

  • Graders and Reviewers will look for more details in your lab 5 extension to better understand your two-page midterm paper.

  • The lab 5 extension will not be graded for this midterm but will get feedback from graders and reviewers.

  • Submit your Python code related to your midterm paper, and make sure the README is clear for recreating your results.

    1. Test your Python code on both of your computers.

    2. Take screenshots of your results after running the code.

    3. Cite the references, especially where you get the existing code and whether you can replicate their results.

    4. Please do NOT email me your dataset. Instead, write a guide on where to download it, similar to the README above.

  • Hide the author’s information for double-blind peer review.

  • Hide author information everywhere in your submission, including PDF, TXT, and Python files.

2. Submission Guide

  • Each team only submits one file, midterm_lastname1_lastname2.zip, including

    1. midterm_poster_lastname1_lastname2.PDF for your two-page poster draft in AAAI format.

    2. midterm_paper_lastname1_lastname2.PDF for your lab 5 extension in AAAI format.

    3. A code folder for ALL your Python Code and support files to recreate your results.

3. Notes

  • Each team only needs to submit one ZIP file, with both names on it. The zip file size should be less than 10 M.

  • Only the Zip file has your names on it, inside the PDF files are anonymous for double-blind review.

  • Email 'xqu1@swarthmore.edu' your midterm files as midterm_lastname1_lastname2.zip.

  • This midterm will be due by midnight on 10/06/2022.