CSE 163, Summer 2020: Homework
Lecture Readings
Remember to stay on top of the lecture readings! See syllabus for more info!
Assignments
Note: unless otherwise noted, all assignments are due at 23:59 (PDT). If you have trouble submitting an assignment and the deadline is approaching, you should email all the files to Nicole BEFORE the deadline so we have your submission on record. Submissions after the late cutoff may not be accepted even if there were technical difficulties turning in the assignment if you did not email us your solution before the cutoff.
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Homework 5 - Processing Geospatial Data [40 points]
Homework 5 is due on Thursday, August 6 at 23:59 (PDT) and should be submitted on Ed.
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Homework 4 - Python Classes and Search Engines [40 points]
Homework 4 is due on Friday, July 31 at 23:59 (PDT) and should be submitted on Ed.
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Homework 3 - Data Analysis [40 points]
Homework 3 is due on Thursday, July 23 at 23:59 (PDT) and should be submitted on Ed.
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Homework 2 - Processing CSV Data [40 points]
Homework 2 is due on Thursday, July 16 at 23:59 (PDT) and should be submitted on Ed.
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Homework 1 - Python Crash Course [40 points]
Homework 1 is due on Thursday, July 9 at 23:59 (PDT) and should be submitted on Ed.
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Beginning of Quarter Survey [2 points]
Beginning of Quarter Survey is due on Monday, July 6 at 23:59 (PDT) and should be submitted via Google forms.
You must be signed into your UW Google Account to access to form (if you are having trouble with this, check out this page).
You cannot use late days on this assignment.
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Homework 0 - Infrastructure Setup [10 points]
Homework 0 is due on Thursday, July 2 at 23:59 (PDT) and should be submitted on Ed.
We do not recommend using late days on this assignment by turning it in late. This assignment is worth far fewer points than the other assignments will be.
Final Project
So far, you have analyzed data from a variety of sources to solve realistic problems from science, engineering, and business. Now it's your turn to choose and analyze a problem. This is good practice for how you will use Python for the remainder of your career. You are highly encouraged to work with a partner or group of two others on this project!
There are three parts to this assignment, due separately.
- Part 0
- Due: Friday, July 24
- Weight: 15% of Final Project
- Synopsis: Come up with research questions and commit to using a particular dataset(s).
- Part 1
- Due: Friday, August 7
- Weight: 15% of Final Project
- Synopsis: Describe motivation and any background material, describe the dataset, describe your analysis methodology or the algorithm you will use. This also requires submitting a work plan that outlines how you will work on the project for the remainder of the quarter.
- Part 2: Perform Analysis and Report Results
- Due: Tuesday, August 18
- Late Cutoff: Friday, August 21
- Weight: 70% of Final Project
- Synopsis: Write your final report with your results and submit all the code you wrote.
Project Gallery
For some example reports and slides, please refer to our past project gallery.
This project is structured a lot like the project in CSE 160 with some specific requirements changed. You may NOT submit the same project that you used in CSE 160 for this class. You may use the same dataset, but we would expect that you have a much more novel and interesting set of research questions if you use the same dataset as you did in a previous quarter.
Project Submission
We will use Gradescope to submit the various parts of the project since it does a really good job with group projects. We will make Gradescope accounts for everyone and you will receive an email when your account is created. For each part, only one group member should submit on Gradescope. You should use the Group Members functionality to add the appropriate partner(s) if you have them. If you want to learn about how to add Group Members on Gradescope, please see instructions here.
Make sure to see the syllabus for information about partners and late days.
Policies
Please make sure you're aware of the following policies:
Regrades
If you feel you were incorrectly penalized on a homework assignment, use this form to submit a regrade. Regrades will be accepted up to one week after the feedback for that assignment has been released.