Music 253/CS 275a Winter 2018 Syllabus
Music 253/CS 275a "Symbolic Musical Information"
Stanford University (Winter 2018).
This music-information course surveys symbolic frameworks and methods for a wide range of musical applications. Areas covered include advanced notation systems, optical music recognition, data conversion and synchronization, and the internal structure of data files. The course is preparatory for Music 254/CS 275B (Music Query, Analysis, and Style Simulation), which focuses on projects requiring a working knowledge of notation and sound software.
Meeting times: | Tuesday & Thursdays 1:30–2:50 | |
Location: | Braun Music Building, Rooms 131, 128 (lab entry from Room 129) | |
Instructors: | Eleanor Selfridge-Field (esfield@stanford.edu) Craig Stuart Sapp (craig@ccrma.stanford.edu) | |
Office Hours: | 3:05–4:05 Tuesdays & Thursdays and by appointment. | |
Credits: | 2–4 | |
Grading: |
Four-credits: class attendance: 25%; weekly assignments: 50%; take-home final: 25%. |
|
Website: | music253.stanford.edu: Overview of individual topics presented in Music 253, and syllabus. | |
Prerequisites: | Ability to read standard music notation. Knowledge of central concepts of tonal music theory (see Tutorial). | |
Textbook: | E. Selfridge-Field, ed., Beyond MIDI: The Handbook of Musical Codes (MIT Press, 1997). Available online by permission of the publisher. |
Syllabus
See also Music 254/CS 275b Syllabus
Go to week: 1 | 2 | MIDI 3 | 4 | SCORE 5 | 6 | MuseData 7 | XML 8 | Humdrum 9 | 10
- Lecture 01A: Musical InformationVideo version
- Lecture C1: Music Notation and Representation (bit.ly/music253-music_representation)
- Demo: Malinowski's Music Animation Machine
- Assignment #1: Design your own music representation system (due 16 Jan 2018)
- Information Course Participation Survey
- Lecture 01B: Applying Musical Information
- Lecture C1b: Rosetta Stone of Musical Encodings (see also Rosetta Stone of Musical Data Codes wikipage)
- Lab #1: Guido Music Notation
- Assignment #2: Finish Guido lab exercises at home (due 18 Jan 2018)
- Lecture 02A: Input Methods for Musical Notation
- Lab #2a: Computer keyboard Input methods in Finale
- Lecture 2B: Sound-MIDI Introduction 2018
- Lab #2b: MIDI keyboard Input methods in Finale
- Assignment #3: Finish Lab 2 exercises (due 23 Jan 2018)
- Lecture 03A: Optical Music Recognition 2018.pdf
- Lecture C2: Introduction to XML
- Lab #3: Optical music recognition with SharpEye
- Assignment #4: SharpEye to Finale/MuseScore/Noteflight (Due 30 Jan 2018)
- Lecture 03B: MIDI Continuation 2018
- Lecture C3a: MIDI protocol (extra: Hexadecimal numbers)
- Topic: MIDI roadmap of the byte
- Topic: MIDI bytes/messages (cinmidi)
- Topic: MIDI messages
- Lecture C3b: Standard MIDI Files
- Topic: Outline of the Standard MIDI File structure
- Topic: Variable length values
- Lecture 04A: Timbre and Quantization (MIDI)
- Assignment #5a: MIDI file parsing homework (Due 6 Feb 2018)
- Lecture 04B: MIDI extensions and alternatives
- Lecture/Demo: Creating MIDI files by hand
- binasc tool for creating MIDI files in a text editor
- Topic: General MIDI instruments (plus percussion key numbers on channel 10)
- Topic: General MIDI continuous controllers
- Assignment #5b: MIDI file creation (Due 8 Feb 2018)
- Tour of the Archive of Recorded Sound and the Dennis Condon Collection of Reproducing Pianos and Rolls.
- Lecture 05A: Introduction to SCORE
- Lab: SCORE user input
- SCORE 5-Stage Input Reference
- Lecture 05B. Repertories with Special Needs
- Lab: Input exercises done on paper in previous session
- SCORE survival guide
- Demonstration of Stanford's new piano roll scanner at the Digital Production Group lab in Green library, two tours: 2pm and 3pm.
- Lecture 06A. Extremes within CMN
- Lab: Input slightly harder SCORE examples
- Homework #6: Finish SCORE user input 2, due 20 February 2018
- Lecture 06B. Score textures and tracks
- Lecture: SCORE parameters
- Score parameter examples: notes, slurs/ties
- Lecture 07A. Codes for Archiving and Repurposing: The Essen Associative Code (EsAC) and Plaine & Easie (used in RISM)
- Lab/Homework: Hard SCORE exercises, due 1 March 2018
- Lecture 08A. Markup Languages for Music: MusicXML and MEI
- Lecture: MusicXML and musical parameters
- Lecture 08b. Base-40 Arithmetic for Music Apps
- Lecture: MEI overview
- 30 Short MEI encoding examples
- XML homework (due next Thursday)
- Lecture 09A. Introduction to Humdrum
- Lecture: Humdrum file format
- Lecture 09B. Uses of Humdrum
- Lab: Humdrum Tools I
- Humdrum homework (due next Thursday).
- Lecture 10A. Basic Concepts in Music Copyright
- Lecture 10A (2018): Music Copyright
- Musical Dice: http://www.ccarh.org/courses/253/lab/kerndice
- Lecture/Demo: Humdrum Tools II
- Lab: Humdrum Lab
- Lecture 10B. From IP to Data Resources
Week | Dates | Topics |
---|---|---|
1 | 9 Jan 2018 |
Overview of music representation and course resources |
1 | 11 Jan 2018 |
|
2 | 16 Jan 2018 |
Input methods: textual input |
2 | 18 Jan 2018 |
Input methods: MIDI keyboard input |
3 | 23 Jan 2018 |
Input methods: OMR and Data Interchange |
3 | 25 Jan 2018 |
MIDI Protocol |
4 | 30 Jan 2018 |
General MIDI/Standard MIDI Files |
4 | 1 Feb 2018 |
MIDI Extensions/Wrap-up |
5 | 6 Feb 2018 |
SCORE user input code |
5 | 8 Feb 2018 |
SCORE music editor |
9 Feb 2018 |
Piano roll scanning tour | |
6 | 13 Feb 2018 |
SCORE simple examples |
6 | 15 Feb 2018 |
SCORE parameters |
7 | 20 Feb 2018 |
SCORE parameters 2 |
7 | 22 Feb 2018 |
MuseData |
8 | 27 Feb 2018 |
MusicXML |
8 | 1 March 2018 |
Transposition via Base-40 MEI |
9 | 6 Mar 2018 |
Humdrum file format |
9 | 8 Mar 2018 |
Humdrum Analysis 1 |
10 | 13 Mar 2018 |
Music as Intellectual Property Humdrum Analysis 2 |
10 | 15 Mar 2018 |
Non-standard music representations in Humdrum |
FE | 23 Mar 2018 |
Take-home final (4-credit students) due by 11 p.m. |
General Policies and University Rules
General policies and university rules:
- Delivery times:
- Assignments: by the start of the class for which they are due.
- Final exam: by 11 p.m. of the assigned date.
- Honor code: We will act and expect you to act according to the Stanford Honor Code.
- Students with disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Student Disability Resource Center (SDRC) located within the Office of Accessible Education (OAE). SDRC staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty dated in the current quarter in which the request is being made. Students should contact the SDRC as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone 723-1066), URL http://oae.stanford.edu.