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Full-Text Articles in Physical Sciences and Mathematics

Bonding Theatre And Chemistry: An Educational Exploration, Matthew Gurniak Dec 2016

Bonding Theatre And Chemistry: An Educational Exploration, Matthew Gurniak

Senior Honors Projects, 2010-2019

This paper analyzes the educational aspects of theatre and music and the impact that they have on an audience. The goal was to begin a new conversation about science and theatre and how the two can learn and gain unique insight from each other. To examine how these two antithetical fields can interact, I composed a new, innovative musical that tells the love story between two professors through the use of concepts from general chemistry. The results and responses from the performance of the play were overwhelmingly positive from members of both disciplines. They have inspired continued interest in this …


The Fourth Movement Of György Ligeti's Piano Concerto: Investigating The Musical-Mathematical Connection, Cynthia L. Wong Sep 2016

The Fourth Movement Of György Ligeti's Piano Concerto: Investigating The Musical-Mathematical Connection, Cynthia L. Wong

Dissertations, Theses, and Capstone Projects

This interdisciplinary study explores musical-mathematical analogies in the fourth movement of Ligeti’s Piano Concerto. Its aim is to connect musical analysis with the piece’s mathematical inspiration. For this purpose, the dissertation is divided into two sections. Part I (Chapters 1-2) provides musical and mathematical context, including an explanation of ideas related to Ligeti’s mathematical inspiration. Part II (Chapters 3-5) delves into an analysis of the rhythm, form, melody / motive, and harmony. Appendix A is a reduced score of the entire movement, labeled according to my analysis.


Blending Two Automatic Playlist Generation Algorithms, James Curbow Jun 2016

Blending Two Automatic Playlist Generation Algorithms, James Curbow

Honors Theses

We blend two existing automatic playlist generation algorithms. One algorithm is built to smoothly transition between a start song and an end song (Start-End). The other infers song similarity based on adjacent occurrences in expertly authored streams (EAS). First, we seek to establish the effectiveness of the Start-End algorithm using the EAS algorithm to determine song similarity, then we propose two playlist generation algorithms of our own: the Unbiased Random Walk (URW) and the Biased Random Walk (BRW). Like the Start-End algorithm, both the URW algorithm and BRW algorithm transition between a start song and an end song; however, issues …


Applications Of The Sierpiński Triangle To Musical Composition, Samuel C. Dent May 2016

Applications Of The Sierpiński Triangle To Musical Composition, Samuel C. Dent

Honors Theses

The present paper builds on the idea of composing music via fractals, specifically the Sierpiński Triangle and the Sierpiński Pedal Triangle. The resulting methods are intended to produce not just a series of random notes, but a series that we think pleases the ear. One method utilizes the iterative process of generating the Sierpiński Triangle and Sierpiński Pedal Triangle via matrix operations by applying this process to a geometric configuration of note names. This technique designs the largest components of the musical work first, then creates subsequent layers where each layer adds more detail.


Algorithmic Music Composition And Accompaniment Using Neural Networks, Daniel Wilton Risdon Jan 2016

Algorithmic Music Composition And Accompaniment Using Neural Networks, Daniel Wilton Risdon

Senior Projects Spring 2016

The goal of this project was to use neural networks as a tool for live music performance. Specifically, the intention was to adapt a preexisting neural network code library to work in Max, a visual programming language commonly used to create instruments and effects for electronic music and audio processing. This was done using ConvNetJS, a JavaScript library created by Andrej Karpathy.

Several neural network models were trained using a range of different training data, including music from various genres. The resulting neural network-based instruments were used to play brief pieces of music, which they used as input to create …