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    Chapter 9: One-way analysis of variance
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    Chapter 2: Data sampling, accuracy, and precision
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.

    Keywords: Rcomputational biology

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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationdcomputer programmingwildfireearth analytics

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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull

    Keywords: datacalling bullmisinformationBates CollegeSchedule

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    Cell Collective: Learning biology with modeling and simulations
    Cell Collective is an online, research-grade modeling platform adapted to engage students in creating and simulating dynamic models of biological processes.

    Keywords: modelingsimulationSimulationsCell Collective

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    Biostatistics using R: A Laboratory Manual
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to...

    Keywords: biostatisticsR programming language

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    2010-Kijek-Kijek-Modelling of Innovation Diffusion
    This paper offers a first order differential equation model for innovation diffusion, solves it, and offers qualitative analysis as well as approaches to estimating parameters with some data on...

    Keywords: Bass modelinnovation diffusionLogistic modeldynamic model

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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.

    Keywords: data visualizationR programming languagedata literacycalling bulldata viztidy data

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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.

    Keywords: data visualizationR programming languagedata literacycalling bulldata viztidy dataOur World in DataDear Data

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    Chapter 11: Correlation and regression analyses
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network

    Keywords: growth mindsetVideoMicrobiology EducationR programming languagemicrobiomesmath attitudesResources @ BIOMAAPmistakesvalue of mistakesresearch in the classroomREMNeturban microbiomes

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    REMNet Tutorial, R Part 1: Getting Started in R with Microbiome Data 5.3.19
    Video on the basics of R software from the Research Experiences in Microbiomes Network

    Keywords: VideoMicrobiology EducationR programming languagemicrobiomesresearch in the classroomREMNeturban microbiomes

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    NetLogo refresher course
    This is a supplemental resource from ABM

    Keywords: moduletextbookNetLogoagent-based modelingIndividual & Agent Based Modelingin-class activityproblem set

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    2013-Gonzalez_Parra-Arenas-Mathematical Model for Social Security Systems with Dynamical Systems
    In this paper it is proposed a mathematical approach based on dynamic systems to study the effect of the increase in the Social Security normal retirement age on the worker and on the dynamics of...

    Keywords: dynamical systemsretirement modelSocial Security

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    2012-Brian_Ingalls-Mathematical_Modelling_in_Systems_Biology
    This text provides an introduction to dynamic mathematical modeling of cellular processes. The emphasis is on using computational tools to investigate models of cellular phenomena.

    Keywords: biologygene regulatory networksModelsmetabolic networkssignal transduction pathwayselectrophysiology

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    1981-Nielsen_Francois-Rachel_Rosenfeld-Substantive_Interpretations_of_Differential_Equation_Models
    The interpretation of parameters of dynamic models is illustrated with reference to research on two substantive topics: political mobilization and intragenerational mobility.

    Keywords: differential equationsdynamical systemsFirst order linearintragenerational mobilitypolitical mobilizationmobility

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    1988-Michael_Intriligator-Dagobert_Brito-A_Predator-Prey_Model_of_Guerrilla_Warfare
    The purpose of this paper is to analyze guerrilla warfare by means of a dynamic model. The model suggests specific paths for the evolution of such ward and how such wars might be fought or combatted.

    Keywords: simulationguerilla warfarewarfarecombat

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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    Keywords: data analysisdata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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