CMU Students: This is not for you. Please sign up for 15-322 and then find the course website!
You need a laptop running macOS, Windows or Linux.
If you run Linux, you will have to build your own NyquistIDE from sources. We can help, but if you are not comfortable installing libraries, compiling programs and using the Unix shell, you probably should not be using Linux in the first place, and installation is likely to be difficult (of course we have directions to follow, but Linux is not just one system, and it is constantly changing.)
Ability to program. If you can write simple programs in any language (e.g., Java or Python), you should be able to follow the course and learn Nyquist (especially the SAL syntax version, which should at least look familiar). It you have never programmed, this is not the course you are looking for.
You should come with an open mind and open ears. If your goal is to write or produce pop tunes, or if you are expecting to learn how to create EDM or Hip Hop or even contemporary songs:
You need to know that the freedom to create electronic sounds from scratch with complete control can be very liberating, but it is not easy. If you want to do conventional things, use conventional tools: DAWs for recording studios, loop-based music editors for loop-based music, score editors for conventional music notation. Trying to make these musics with the tools you will learn in this course will likely be frustrating.
Some Calculus helps. Among other things, we will use formulas involving sines and cosines, study graphs of various phenomena, and talk about logarithmic or exponential relationships and functions.
This course was originally designed as an undergraduate course for Computer Science students, so some technical fluency is assumed. Then again, much of the field was invented by musicians, not scientists, so do not be too intimidated.
You do not need to know how to read music or anything about music theory. You will learn a few things, but this course does not assume formal musical training.
You do not need a degree in Electrical Engineering or signal processing. You will learn (I hope) the fundamentals of sampling theory and many other technical subjects.
Week | Unit | Project |
---|---|---|
1 | 1 Introduction | 0 |
2 | 2 Basics of Synthesis | 1 |
3 | 3 Sampling Theory Introduction | |
4 | 4 Frequency Modulation | 2 |
5 | 5 Spectral Analysis and Nyquist Patterns | |
6 | 6 Nyquist Techniques and Granular Synthesis | 3 |
7 | 7 Sampling and Filters | |
8 | 8 Spectral Processing | 4 |
9 | 9 Vocal and Spectral Methods | |
10 | 10 Acoustics, Perception, Effects | 5 |
11 | 11 Physical Modeling | |
12 | 12 Spectral Modeling, Algorithmic Control, 3D Sound | 6 |
13 | 13 Audio Compression | |
14 | 14 Computer Music Futures | 7* |
15 | 15 Where Next? |
*We strongly suggest that you complete Project 7, creating a short piece of music to re-inscribe what you have learned throughout the course after completing Unit 14. This project will not be assessed, but we would love to hear it.
Think of this as course notes on steroids – it is not the full course taught at Carnegie Mellon (which includes in-class presentations and discussion, office hours and teaching assistants for individual instruction, exams ☹, a concert, and more, but this is the best thing I could make available. I hope you enjoy it.
If you complete the course with a passing grade, you will be listed on our “ICM-Online Hall of Fame” page (if you agree), so at least you can earn bragging rights.
Your grade is pass (or not), based on the two types of automatic assessment that we offer: Exercises (ATutor calls them “Tests”), which are mostly short coding problems to show that you understand the lectures, and Projects, which are larger tasks that include some creative music composition. To pass the course, you must
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