Assignment 3
- Due Date: Thursday, June 12th by 23:59
- Partner Information: Everyone should work in a team
that consists of at least one Lyon student and one MSU student.
- Submission Instructions: One person on each team should
e-mail the team's Jupyter notebook and any relevant files to
john.paxton@montana.edu and henrycjmsu@gmail.com.
Team Assignments
- Georgia Franks, Yanis Bencharif, Nassim Bentebbal - Chapter 15
- Alex Graves, Youssef Rais - Chapter 15
- Sylvia Hutzler, Malo Hossein, Saucen Jlaiel - Chapter 17
- Olivia Jones, Martin Agbagnon - Chapter 17
- Holden Lee, Laura Pezzotta, Yara Alshoufi - Chapter 18
- Zach Reller, Valeria Diaz, Line Chizat - Chapter 16
- William Sheldon, Sibyl Nouis - Chapter 15
- Yves Vernooy, Noémie Rias, Ilayda Simsek - Chapter 18
- Nathan Campbell, Chantal Furnon - Chapter 17
- Jared Deras, Isil Sertoglu - Chapter 16
- Alex Ellingsen, Noëlie Chevalier - Chapter 18
Assignment
The purpose of this assignment is to create a Jupyter notebook
that is educational, motivating and fun for a high school junior
(age 16 or 17) or senior (age 17 or 18) who is learning about Data Science.
You may assume that this high school student
is familiar with the basics of Python,
Jupyter Notebooks, high school geometry and high school algebra.
Jupyter Notebook Requirements
Create a single Jupyter Notebook that contains all of the following:
- Design a 10-point assignment that requires understanding the key content
from your assigned chapter. The assignment should be well-written,
educational, fun, motivating and take a high school student
around 2 hours to solve.
- Provide a solution to your assignment that includes explanations.
- Introduce and explain bonus material that is relevant to your chapter.
For example, if you were assigned Chapter 7, there are plenty
of additional types of visualizations.
- Design a 5-point bonus assignment that requires understanding
the bonus material you introduced. The assignment should be well-written,
educational, fun, motivating and take a high school student at
least 30 minutes to solve.
- Provide a solution to your bonus assignment that includes explanations.
Take a look at some of the homeworks on this page
to see what a 10-point assignment might look like.
20-Minute Presentation Requirements
- First 10-15 Minutes: Present your Jupyter notebook. Each
teammate should present for roughly 10 minutes.
- Final 5 minutes: Answer questions from the class.
- Assume that the audience consists of high school teachers
who will teach an Introduction to Data Science course.
These teachers are deciding whether to incorporate your team's
assignment into their class. Your presentation should convince
them that the answer is yes!