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321 - 330 of 337 results for: MUSIC

MUSIC 333: Food, Text, Music: A Multidisciplinary Lab on the Art of Feasting (FRENCH 166, FRENCH 266, FRENCH 366, MUSIC 133)

Students cook a collection of unfamiliar recipes each week while learning about the cultural milieus in which they originated. The course focuses on the fourteenth and fifteenth centuries, a time of great banquets that brought together chefs, visual artists, poets, musicians, and dancers. Students read late-medieval cookbooks under the guidance of professional chefs, learn songs and poetry with the help of visiting performers, and delve into a burgeoning scholarly literature on food history and sensory experience. We will also study trade routes and food networks, the environmental impact of large-scale banquets, the science of food, and the politics of plenty. This course may count towards the Medieval component of the French major, and corresponds to DLCL 121, a course requirement for the Medieval Studies Minor. Students interested in applying for course must email both professors (mgalvez@stanford.edu, jrodin@stanford.edu) by 20 September with a statement of up to 350 words that includes: (a) reasons for wanting to take the class; (b) relevant background in cooking/medieval studies/etc.; (c) stated commitment to attend all ten course meetings; and (d) any dietary restrictions/preferences.
Terms: Win | Units: 3-5

MUSIC 341: Ph.D Dissertation

May be repeated for credit a total of 5 times.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

MUSIC 351A: Seminar in Music Perception and Cognition I

A seminar on topics in music perception and cognition. Students will study and discuss recent research as well as design and implement experiments.
Terms: Aut | Units: 1-3 | Repeatable for credit

MUSIC 364: Data-Driven Research in Music Cognition

Project-based course exploring the impact of music on human behavior using evidence of user engagement with music in large-scale datasets including publicly available industrial and social-media data and corpuses published for research purposes. Data-driven research complements laboratory-based behavioral and imaging research by focusing on framing and addressing music-related questions using pre-existing datasets. Class meetings include lectures, guest speakers, and student discussions of background literature and projects. Assignments include weekly readings, labs, and a final project. Basic musical proficiency is required. Experience with programming, data visualization, statistics, or music cognition is desirable.
Last offered: Winter 2017

MUSIC 390: Practicum Internship

On-the-job training under the guidance of experienced, on-site supervisors. Meets the requirements for curricular practical training for students on F-1 visas. Students submit a concise report detailing work activities, problems worked on, and key results. May be repeated for credit. Prerequisite: qualified offer of employment and consent of adviser.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit

MUSIC 399: D.M.A. Final Project

May be repeated for credit a total of 5 times.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

MUSIC 420A: Signal Processing Models in Musical Acoustics

Terms: Win | Units: 3-4

MUSIC 421A: Time-Frequency Audio Signal Processing

Spectrum analysis and signal processing using Fast Fourier Transforms (FFTs) with emphasis on audio applications. Topics: Fourier theorems; FFT windows; spectrum analysis; spectrograms; sinusoidal modeling; spectral modeling synthesis; FFT convolution; FIR filter design and system identification; overlap-add and filter-bank-summation methods for short-time Fourier analysis, modification, and resynthesis. See http://ccrma.stanford.edu/courses/421/. Prerequisites: Music 320A and Music 320B or equivalent background in spectrum analysis and linear systems.
Terms: Spr | Units: 3-4

MUSIC 421N: Deep Learning for Music and Audio

Seminar reviewing the development of deep-learning methods in music and audio fields. See the course website for latest information: http://ccrma.stanford.edu/courses/mus421n/
Last offered: Autumn 2017

MUSIC 422: Perceptual Audio Coding

History and basic principles: development of psychoacoustics-based data-compression techniques; perceptual-audio-coder applications (radio, television, film, multimedia/internet audio, DVD, EMD). In-class demonstrations: state-of-the-art audio coder implementations (such as AC-3, MPEG) at varying data rates; programming simple coders. Topics: audio signals representation; quantization; time to frequency mapping; introduction to psychoacoustics; bit allocation and basic building blocks of an audio codec; perceptual audio codecs evaluation; overview of MPEG-1, 2, 4 audio coding and other coding standards (such asAC-3). Prerequisites: knowledge of digital audio principles, familiarity with C programming. Recommended: 320, EE 261. See http://ccrma.stanford.edu/.
Terms: Win | Units: 3
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