Package: resonance
IntroductionThis repository contains the interactive learning materials designed for the
upper-level UC Davis engineering course on Mechanical Vibrations (ENG 122). The
materials are designed with these ideas in mind:That students can learn about mechanical vibrations engineering through
“computational thinking” and “computational experimentation”, i.e. actively
interacting with a computer by writing code to simulate and analyze
computational models and experimental data.That the computer allows students to solve vibration engineering problems
without knowing all of the mathematical theory a priori. This means that we
can motivate students to dig deeper into the theory and by presenting it
posteriori when the motivation is high. The students will be introduced to
data analysis techniques to study vibrations before analytical techniques.Students learn best by doing. The content is meant to used in class while the
instructors act as a coach through the learning.That each lesson should have a motivated real life example that drives the
investigation.Open access materials promote easy reuse, remixing, and dissemination.The current course website can be found at:https://moorepants.github.io/eng122/All of the Jupyter notebooks are rendered at:http://moorepants.github.io/resonanceLearning ObjectivesThere are three broad learning objectives that we focus on in the course:Students will be able to analyze vibrational measurement data to draw
conclusions about the measured system’s vibrational nature and describe how
the systems behaves vibrational.Students will be able to create simple mathematical and computational models
of real vibrating systems that can be used to answer specific questions
about the system by concisely demonstrating the vibrational phenomena.Students will be able to design a mechanical structure that has desirable
vibrational behavior.Students that master these three core learning objectives will be well prepared
to use mechanical vibration concepts, theories, and tools to solve engineering
problems.For a more detailed topical outline with specific per-activity learning
objectives see theoutline.AssessmentThe students will be assessed through a series of in- and out-of- class
exercises that focus on individual lesson topics, two examinations, and on an
individual open-ended vibration design project.AuthorsJason K. Moore, Faculty, Mechanical and Aerospace Engineering Department,
University of California, DavisKenneth Lyons, Graduate Student, Mechanical and Aerospace Engineering
Department, University of California, DavisLicenseThe contents of this repository are licensed under the MIT license.AcknowledgementsMuch of this work has been made possible through the Undergraduate
Instructional Innovation Program funds provided by the Association of American
Universities (AAU) and Google which is administered by UC Davis’s Center for
Educational Effectiveness.This work is also made possible by the broad open source software stack that
underpins the Scientific Python Ecosystem, in particular: Jupyter, NumPy,
SymPy, SciPy, and matplotlib.InstallationFor users, you can create a conda environment calledresonanceby
downloading theenvironment.ymlfile and typing the following at the
command line:$ conda env create -f environment.ymlThis environment can be activated with:$ conda activate resonanceTo properly view the exercises you will need to enable the exercise2 notebook
extension:(resonance)$ jupyter nbextension enable exercise2/mainIf you want to develop resonance, use thedev-environment.ymlfile:$ conda env create -f dev-environment.yml
$ conda activate resonance-devIf you don’t want to use our environments, you can use pip to install
resonance:$ pip install resonance