Assignments

Here you will find information about the assignments for QTM 350. There are ten of them, each worth 5% of your final grade. The assignments are designed to help you practice the concepts covered in class and to develop your data science skills.

Assignment submissions are typically due on Wednesdays at 11:59pm in the week following their publication. You may submit via Canvas (preferred) or email ().

We encourage you to complete assignments in Jupyter Notebooks and submit them in PDF format. You can also submit them as a Word document, provided that code and results are included in the same document.

You will find the assignments in .ipynb format in the assignments folder on the course repository. For your convenience, rendered versions are available on the course website; links are provided below.

When submitting, please name your files as follows: assignment-01-your-name.pdf. For instance: assignment-01-john-doe.pdf.

Assignment Timeline

Assignment Submission Deadline
Assignment 01 2025-09-10
Assignment 02 2025-09-17
Assignment 03 2025-09-24
Assignment 04 2025-10-01
Assignment 05 2025-10-08
Assignment 06 2025-10-15
Assignment 07 2025-10-22
Assignment 08 2025-11-05
Assignment 09 2025-11-12
Assignment 10 2025-11-19

In-Class Quizzes

In-class quizzes will be held on Wednesdays. They will be based on the material covered in the previous weeks. The quizzes will be open-book and open-notes, but you will not be allowed communicate with others during the quiz.

Final Project

The final project will be a group effort, with a maximum of 3 students per group. Detailed instructions are available on the GitHub repository: https://github.com/danilofreire/qtm350/tree/main/project.

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