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    Discovering Prokaryotic Gene Regulation with Simulations of the trp Operon
    The trp operon exemplifies important biological concepts, including the central dogma of molecular biology, feedback inhibition, and gene regulation. For this reason, regulation of the trp operon...
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    A first lesson in mathematical modeling for biologists: Rocs
    Using a fictitious population of Rocs, a mythical species of giant raptor, students accomplish two broad objectives: 1) they undertake the process of building a first mathematical model of a...
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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    A 360˚ View of COVID-19
    In March 2020, institutions underwent a massive transition to distance learning as a result of the COVID-19 pandemic. With so little time to devise new materials to maximize learning in the new...
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    2015-Zhang-EtAl-On the Selection of ODE Models with Application to Predator-Prey Dynamical Models
    We propose a computationally inexpensive approach that employs statistical estimation of the full model, followed by a combination of a least squares approximation (LSA) and the adaptive Lasso.
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    2004-Mitchell-von Meien-Krieger-Dalsenter-A review of recent developments in modeling of microbial growth kinetics
    Mathematical models are important tools for optimizing the design and operation of solid-state fermentation (SSF) bioreactors. Such models must describe the kinetics of microbial growth.
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    2015-Heiko_Enderling-Integrating experimental data to calibrate quantitative cancer models
    For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. We focus on a tumor hierarchy of cancer stem and progenitor non-stem cancer...
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    2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations
    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.
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    1986-Cook-Witten-One-dimensional linear and logistic harvesting models
    Some of the results in the literature on simple one-dimensional, density dependent, discrete and continuous models-with and without harvesting-are reviewed.
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    1-067-ModelingWithSigmoidCurves-ModelingScenario
    The assignment considers two well-known models of population growth, Verhulst-Pearl and Gompertz models, for which qualitative and quantitative analyses are provided. The graphs of the...
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    1-114-EarthClimate-ModelingScenario
    In this modeling scenario, we investigate the Earth's climate using a zero-dimensional energy balance model. Energy balance models are climate models that try to predict the average surface...
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    6-018-ExploringSIRModel-ModelingScenario
    Students will transform, solve, and interpret Susceptible Infected Recovered (SIR) models using systems of differential equation models. The project is progressively divided into three parts to...
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    A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
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    Understanding Gene Prediction Programs
    Introduces students to the key biological concepts underlying computational gene prediction. Outcomes include ability to analyze and evaluate output of gene prediction programs, and reflect on...
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    Hawk vs. Dove Game
    Hawk vs. Dove Game is a model of conflict for two players in game theory.
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    Videos on Java for courses at University of Tennessee
    Eight videos developed by Hong Qin about using Java at the University of Tennessee Chattanooga
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    Java for-loop, investment problem, with debug flag usage demo
    BigJava Chapter 6, UTC CPSC1100 Fall 2017. Debug flag usage is shown.
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    Screen Casts for Foundations of Bioinformatics at UCSD
    Collection of videos developed by Barry Grant at UCSD for his course, BGGN-213
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    What is Bioinformatics?
    This second screencast introduces bioinformatics, details major leaning goals & expectations of BGGN-213 and outlines the areas of bioinformatics covered in ...
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    Foundations of Bioinformatics (BGGN-213)
    This first short screen-cast introduces “Foundations of Bioinformatics” (BGGN-213) course at UCSD and covers some pre-course logistics.
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