Music 253/CS 275a Winter 2014 Syllabus

Music 253/CS 275a "Symbolic Musical Information"
Stanford University (Winter 2014).

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:		Tuesdays & Thursdays 1:15–3:05
Location:		Braun Music Building, room 128 (or entry also from room 129)
Instructors:		Eleanor Selfridge-Field (esfield@stanford.edu) Craig Stuart Sapp (craig@ccrma.stanford.edu)
Office Hours:		3:05–4:05 Wednesdays and by appointment.
Credits:		2–4
Grading:		Four-credits: class attendance: 25%; weekly assignments: 50%; take-home final: 25%. Three-credit/no final: class attendance: 33%; weekly assignments: 67%. Two-credit/no final: choices negotiable (selected homeworks).
Website:		music253.stanford.edu wiki.ccarh.org/wiki/Music 253 Overview of individual topics presented in Music 253.
Prerequisites:		Ability to read standard music notation. Knowledge of central concepts of tonal music theoory (see Tutorial).
Textbook:		E. Selfridge-Field, ed., Beyond MIDI: The Handbook of Musical Codes (MIT Press, 1997). Available online by permission of the publisher.

• Course resources
• Handouts
• Links

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

Week	Dates	Topics
1	7 Jan 2014	Overview of music representation Lecture 01A: Musical InformationVideo version Demo: Malinowski's Music Animation Machine Rosetta Stone of Musical Data Codes Assignment #1: Design your own music representation system (due 16 Jan 2014)
1	9 Jan 2014	Music representation and course resources Lecture 01B: Applying Musical Information Lab #1: Guido Music Notation Assignment #2: Finish Guido lab exercises at home (due 23 Jan 2014 at the latest)
2	14 Jan 2014	Notation software: input methods: MIDI #1 Lecture 02A-B: Input Methods for Musical Notation Lab #2a: Computer keyboard Input methods in Finale
2	16 Jan 2014	Notation software: input methods: MIDI #2 Lab #2b: MIDI keyboard Input methods in Finale Assignment #3: Finale homework (due 21 Jan 2014)
3	21 Jan 2014	Input methods: OMR and Data Interchange Lecture 03A: Optical Music Recognition Lecture: Introduction to XML Lab #3: Optical music recognition with SharpEye Assignment #4: SharpEye to Finale/MuseScore/Noteflight
3	23 Jan 2014	MIDI Protocol/General MIDI Lecture 03B: From Analogue to Digital Sound (MIDI Introduction) Lecture: Hexadecimal numbers Topic: MIDI roadmap of the byte Topic: MIDI bytes/messages (cinmidi) Topic: MIDI messages
4	28 Jan 2014	Standard MIDI Files Lecture 04A: Timbre and Quantization (MIDI) Lecture: Standard MIDI Files Topic: Outline of the Standard MIDI File structure Topic: Variable length values Assignment #5a: MIDI file parsing homework
4	30 Jan 2014	MIDI Extensions/Wrap-up Lecture 04B: MIDI extensions and alternatives Topic: General MIDI instruments (plus percussion key numbers on channel 10) Topic: General MIDI continuous controllers binasc tool for creating MIDI files in a text editor Assignment #5b: MIDI file creation
5	4 Feb 2014	SCORE user input code Lecture 05A: Introduction to SCORE Lab: SCORE user input SCORE 5-Stage Input Reference
5	6 Feb 2014	SCORE music editor Lecture 05B. Repertories with Special Needs Lab: Input exercises done on paper in previous session
6	11 Feb 2014	SCORE simple examples Lecture 06A. Special Situations in CMN Lab: Input slightly harder SCORE examples Homework #6: Finish SCORE user input 2, due 18 February 2014
6	13 Feb 2014	SCORE parameters Lecture 06B. Score Textures and Tracks Lecture: SCORE parameters Score parameter examples: notes, slurs/ties
7	18 Feb 2014	Lecture 07A. Codes for Archiving and Repurposing: The Essen Associative Code (EsAC) SCORE parameters 2 Lab/Homework: Hard SCORE exercises, due 25 February 2014
7	20 Feb 2014	MuseData Lecture 07B. Codes for Archiving and Repurposing: MuseData (presented by Walter B. Hewlett) Beethoven String Quartets MuseData files for the quartets muse2ps for printing the MuseData files
8	25 Feb 2014	MusicXML Lecture 08A. Markup Languages for Music: MusicXML Lecture: MusicXML and musical parameters
8	27 Feb 2014	Transposition via Base-40 Lecture 08b. Base-40 Arithmetic for Music Apps MEI Lecture: MEI overview 30 Short MEI encoding examples
9	4 Mar 2014	Humdrum file format Lecture 09A. Introduction to Humdrum (presented by David Huron) Lecture: Humdrum file format
9	6 Mar 2014	Humdrum Analysis 1 Lecture 09B. Uses of Humdrum Lab: Humdrum Tools I
10	11 Mar 2014	Lecture 10A. Musical Data as Intellectual Property (presented with Nick Tsui) Humdrum Analysis 2 Lecture/Demo: Humdrum Tools II Lab: Humdrum Lab
10	13 Mar 2014	Non-standard music representations in Humdrum
FE	20 Mar 2014	Take-home final due by 11 p.m.

General Policies and University Rules

General policies and university rules:

1. Delivery times:
   1. Assignments: by the start of the class for which they are due.
   2. Final exam: by 11 p.m. of the assigned date.
2. Honor code: We will act and expect you to act according to the Stanford Honor Code.
3. 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 accommdations. The OAE is located at 563 Salvatierra Walk (phone 723-1066).