PAT 464/564: Generative AI for Music and Audio Creation (Winter 2026)

   
Instructor Hao-Wen (Herman) Dong (ude.hcimu@gnodwh)
Room Moore 376 (Davis) or Zoom
Days & times 1:30–3pm, Mondays & Wednesdays
Office hours By appointment

[Last year’s course website]


Description

An introduction to generative AI and its applications to music and audio creation. Topics include music generation, audio synthesis and assistive music creation tools. Students work on a semester-long group project to gain hands-on experience on creating music using AI tools. Prior coding experience is recommended.

This course counts as a Flexible Technical Elective for CS-Eng and DS-Eng programs, and an approved course for the MIDAS GDSC program.


Objectives


Schedule

Week Date Lecture Assignments
1 Jan 7 Introduction  
    Background  
2 Jan 12 ├ Intro to AI Music  
  Jan 14 ├ Music Processing Fundamentals  
3 Jan 19 No Class (MLK Day)  
  Jan 21 ├ Audio Processing Fundamentals  
4 Jan 26 No Class (Travel) PA 1 due
  Jan 28 No Class (Travel)  
5 Feb 2 └ Music Analysis  
    Deep Generative Models  
  Feb 4 ├ RNNs, LSTMs & Transformers  
6 Feb 9 ├ VAEs & GANs  
  Feb 11 └ Diffusion Models  
    Symbolic Music Generation  
7 Feb 16 ├ Language-based Music Generation PA 2 due
  Feb 18 ├ Piano Roll-based Music Generation  
8 Feb 23 ├ PA 2 Walkthrough & Catch-up  
  Feb 25 └ Controllable Music Generation  
9 Mar 2 No Class (Spring Break)  
  Mar 4 No Class (Spring Break)  
    Audio Synthesis  
10 Mar 9 ├ Time-domain Audio Synthesis PA 3 due
  Mar 11 ├ PA 3 Walkthrough & Catch-up  
11 Mar 16 ├ Frequency-domain Audio Synthesis  
  Mar 18 Project Pitch  
12 Mar 23 └ Latent-based Audio Synthesis PA 4 due
    AI-Assisted Music Creation Tools  
  Mar 25 ├ Neural Audio Effects & Auto Mixing  
13 Mar 30 ├ Interactive & Multimodal Systems  
  Apr 1 └ Buffer  
14 Apr 6 Discussion  
  Apr 8 Challenges & Opportunities  
15 Apr 13 Project Consultation  
  Apr 15 Project Consultation  
16 Apr 20 Project Presentation  

Grading

All grading and regrade requests will be handled on Gradescope.

The final grading scale is as follows.

                   
A+ >96 B+ 87–89 C+ 77–79 D+ 67–69 F <60
A 93–96 B 83–86 C 73–76 D 63–66    
A− 90–92 B− 80–82 C− 70–72 D− 60–62    

Assignments

Programming Assignment Due
PA 1: Music & Audio Processing TBD
PA 2: Musical Note Classification TBD
PA 3: Symbolic Music Generation TBD
PA 4: Audio Generation TBD

Project

Milestone Due
Pitch TBD
Presentation TBD
Report TBD

Reading

There is no required reading. Here is some good optional reading:


Policies

Attendance & Course Recordings

Generative AI Usage

Plagiarism & Academic Misconduct

Accommodations for Students with Disabilities/Disability Statement

The University of Michigan recognizes disability as an integral part of diversity and is committed to creating an inclusive and equitable educational environment for students with disabilities. Students who are experiencing a disability-related barrier should contact Services for Students with Disabilities ((734) 763-3000 or ssdoffice@umich.edu). For students who are connected with SSD, accommodation requests can be made in Accommodate. If you have any questions or concerns please contact your SSD Coordinator or visit SSD’s Current Student webpage. SSD considers aspects of the course design, course learning objects and the individual academic and course barriers experienced by the student. Further conversation with SSD, instructors, and the student may be warranted to ensure an accessible course experience.

Sexual Misconduct Policy

Title IX prohibits discrimination on the basis of sex, which includes sexual misconduct — including harassment, domestic and dating violence, sexual assault, and stalking. We understand that sexual violence can undermine students’ academic success and we encourage anyone dealing with sexual misconduct to talk to someone about their experience, so they can get the support they need. Confidential support and academic advocacy can be found with the Sexual Assault Prevention and Awareness Center (SAPAC) on their 24-hour crisis line at (734) 936-3333. Alleged violations can be non-confidentially reported to the Office for Institutional Equity (OIE).

Mental Health and Well-Being

Students may experience stressors that can impact both their academic experience and their personal well-being. These may include academic pressure and challenges associated with relationships, mental health, alcohol or other drugs, identities, finances, etc. If you are experiencing concerns, seeking help is a courageous thing to do for yourself and those who care about you. If the source of your stressors is academic, please contact me so that we can find solutions together. For personal concerns, U-M offers many resources, some of which are listed at Resources for Students on the Well-being Collective website. You can also search for additional resources on that website.


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