2016-2017 2017-2018 2018-2019 2019-2020 2020-2021
Browse
by subject...
    Schedule
view...
 

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 6 times (up to 60 units total)

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 10 times (up to 30 units total)

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 6 times (up to 60 units total)

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
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints