Survey of Music Technology
€0, aangeboden door Coursera
About this course: How can we use computers to create expressive, compelling music? And how can we write computer software to help us create and organize sounds in new ways? This course provides a hands-on introduction to the field of music technology as both a creative musical practice and an interdisciplinary technical research pursuit. Students will be able to compose music in digital audio workstation software using both audio and symbolic representations; to write code to algorithmically generate music, analyze sound, and design sound; and to describe the essential theory and history behind these activities as well as their connection to cutting-edge computer music research. Through the exploration of topics such as acoustics, psychoacoustics, digital sound, digital signal processing, audio synthesis, spectral analysis, algorithmic composition, and music information retrieval, we will explore the deep relationships between art and science, between theory and practice, and between experimental and popular electronic music. We will learn about these topics in the context of digital audio workstation (DAW) software, the multi-track editing paradigm that has been dominant in music production since the 1980s. As we learn about the foundations behind such software, we will use this knowledge to more effectively create music with it, and we will also write a series of short software programs that extend the software’s ability to manipulate, transform, and analyze sound.
Created by:Â Â Â Georgia Institute of Technology
Taught by:Â Â Â Â Jason Freeman, Associate Professor
School of Music
Commitment
5-7 hours/week
Language
English
How To Pass
Pass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See all 27 reviews
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
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About Georgia Institute of Technology
The Georgia Institute of Technology is one of the nation's top research universities, distinguished by its commitment to improving the human condition through advanced science and technology. Georgia Tech's campus occupies 400 acres in the heart of the city of Atlanta, where more than 20,000 undergraduate and graduate students receive a focused, technologically based education.
Syllabus
WEEK 1
Module 1: Introduction and the Basics of Sound
The first module provides an introduction to the course and lessons in acoustics, psychoacoustics, timbre, digital representation of sound, and spectral representation of sound.Â
14 videos, 4 readings
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Graded: The Basics of Sound
WEEK 2
Module 2: Digital Audio Workstations
This module will look at DAW history and key features, music representation, recording and editing audio in a DAW, effects and automations, and aesthetic context.Â
7 videos, 1 reading
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Graded: Digital Audio Workstations
WEEK 3
Module 3: Working With MIDI
In this module we will take a look at MIDI specification (history, structure, limitations), real and virtual MIDI devices, and MIDI sequencing in the DAW. The module concludes with the first of two peer reviewed assignments, in which students create a multi-tr...Â
9 videos, 1 reading
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Graded: Working With MIDI
WEEK 4
Module 4: Algorithmic Composition Basic Techniques
In this module students will learn the basics of Python programming and the EarSketch API and the history and practice of algorithmic composition.Â
8 videos, 1 reading
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Graded: Algorithmic Composition Basic Techniques
WEEK 5
Module 5: Algorithmic Composition Advanced
This module looks at more advanced topics in algorithmic programming for music including stochastic composition, chance music, process music, and modeling.Â
8 videos, 1 reading
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Graded: Algorithmic Composition Advanced
WEEK 6
Module 6: Future Directions
This module will help students by describing the core research areas in computer music and their future directions. We will explore music information retrieval, live coding, machine musicianship, new musical interfaces, mobile music, and networked music.Â
7 videos, 3 readings
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Graded: Future Directions