Interdisciplinary computational thinking with music and programming: a case study on algorithmic music composition with Sonic Pi
2019 master's thesis by Christopher Grant Petrie at University of Canterbury
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Key Facts
- Publisher: a case study on algorithmic music composition with Sonic Pi — publisher (P123): UC Research Repository[1]
- Language of work or name: a case study on algorithmic music composition with Sonic Pi — language of work or name (P407): English[2]
- Country of origin: a case study on algorithmic music composition with Sonic Pi — country of origin (P495): New Zealand[3]
- Publication date: 2019[4]
- Main subject: a case study on algorithmic music composition with Sonic Pi — main subject (P921): education[5]
- Title: Interdisciplinary computational thinking with music and programming: a case study on algorithmic music composition with Sonic Pi[6]
- Author name string: Christopher Grant Petrie[7]
- Thesis submitted to: a case study on algorithmic music composition with Sonic Pi — thesis submitted to (P4101): University of Canterbury[8]
- On focus list of Wikimedia project: a case study on algorithmic music composition with Sonic Pi — on focus list of Wikimedia project (P5008): NZThesisProject[9]
- Copyright status: a case study on algorithmic music composition with Sonic Pi — copyright status (P6216): copyrighted[10]
- Online access status: a case study on algorithmic music composition with Sonic Pi — online access status (P6954): open access[11]
- Thesis committee member: a case study on algorithmic music composition with Sonic Pi — thesis committee member (P9161): Valerie A Sotardi[12]
- Thesis submitted for degree: a case study on algorithmic music composition with Sonic Pi — thesis submitted for degree (P13338): Master of Education[13]