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Assignments |
All assignments for the class will be listed here. The assignments will conist of:
- Five homework assignments, each with 2-3 programming prblems.
- A midterm "tutorial" assignment where you will write up a short tutorial on a data science subject.
- A final project, done in groups, on a data science problem of your choosing.
All assignments are due at 11:59pm ET (midnight) on the due date, and will be released by this same time on the release date.
| Release date | Due date | |
|---|---|---|
| Homework 1 | 1/24 | 2/7 |
| Homework 2 | 2/7 | 2/21 |
| Homework 3 | 2/21 | 3/7 |
| Tutorial | 2/21 | 2/28 (proposal), 3/28 |
| Homework 4 | 3/28 | 4/11 |
| Homework 5 | 4/11 | 4/25 |
| Final project | 3/5 | 3/21 (proposal), 5/9 (writeup), TBA (video) |
Homeworks are distributed as Jupyter notebooks, submitted for autograding via Autolab. The autograders for the homeworks will be live within 48 hours of the homework release date, or the due date will be shifted back accordingly.
Late days: Each student is permitted 5 late days they may use over the course of the semester, using no more than 2 late days on each assignment. After the two late days on each assignment, or after you have used the five late days, you will receive zero credit for the assignment. Late days may only be used for the homework assignments, not for the tutorial or final project.
In lieu of a midterm exam, students will write a tutorial on a data science topic of their choosing. More information will be posted here when the assignment is released. Again, no late days are permitted on the tutorial, and failure to submit by the deadline will result in zero points.
The final project of the course will consist of a large data science project done in teams of 2-3 people (single person or four person teams will be considered on an individual basis). The final report for this project will be a Jupyter notebook detailing the data collection, analysis, and results. In addition to the report, teams will also prepare a short (2 minute) video for showing during a final project video session, taking place during the final exam time. More information and dates will be available when the assignment is released. Again, no late days are permitted on the final project, and failure to submit by the deadline will result in zero points.