All assignments are due at 11:59pm ET on the date specified.
No late submissions! Submit your work early and update it later.
Topic
This is an open-ended project. You may work on one of the following topics:
Building a new AI music tool
Exploring creative & artistic use of AI music tools
Analyzing systematically existing AI music tools
Project Pitch
Please give a 10-min pitch on:
Topic: What do you want to work on?
Topic: Who are the target audience/users/customers/readers?
Goals: What are your goals?
Methodology: How are you going to approach it?
Methodology: What are the tools (programming languages, platforms, plugins, hardware, etc.) that you’ll be using?
Expected results: What are the expected deliverables (e.g., an instrument, a plugin, a web/mobile app, a standalone software, an installation, a performance, a composition)?
Planning: What are the timeline & milestones?
Presentation
Please give a 20-min presentation that summarizes your motivations, methods, results, analysis, and discussions. You may follow any structure that best suits your narrative.
Report
Please turn in a 3 to 4-page (excluding references) report that summarizes your motivations, methods, results, analysis, and discussions. You may use any template for your report.
Rubrics
Presentation (20pt)
Attendance (10pt)
Clarity (5pt)
Organization & presentation (5pt)
Report (20pt)
Writing clarity (5pt)
Organization & presentation (5pt)
Results (5pt)
Discussion (5pt)
Compute
Follow the instructions to learn how to access Great Lakes. You will be provided with ~560 GPU hours for assignments and final project.
Suggestions & Tips
An active GitHub repository with many open/closed issues is usually a good sign.
Always look for backup codebase so that you have a plan B. Any online repository is not guaranteed to work.
If you plan to train or finetune something, think about the “data & model” at the same time. You will need the right dataset and the right model to succeed.