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    List of models in which observed patterns are Important
    Supplemental material for ABM
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    NetLogo refresher course
    This is a supplemental resource from ABM
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    2017-Brandi-Garcia-Motivating engineering students to math classes - Practical experience teaching ODEs
    In this paper we propose an approach to teaching-learning process of mathematical concepts to engineering students with a motivational factor: a practical problem to be modeled in which students...
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    6-045-CholeraTranmission-ModelingScenario
    During the project described here, the students will learn how to solve and address a practical problem such as cholera transmission using various mathematical tools.
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    2018-Vajravelu-Teaching Large DE Classes
    Practical problem solving in science and engineering programs require proficiency in mathematics. Improving student performance and retention in mathematics classes requires inventive approaches.
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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.
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    STEMCEL - The STEM Career Exploration Laboratory Network (RCN-UBE Introduction)
    In the STEMCEL network, we propose to synergize students’ learning and training while addressing community issues, where student-driven, course-based, research projects will deliver/develop rapid...
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    2001-Edwards-Buckmire-A differential equation model of North American cinematic box-office dynamics
    A new mathematical model is presented for the box-office dynamics of a motion picture released in North America.
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    2016-Langtangen-Pedersen - Scaling of Differential Equations
    Nowadays, the greatest practical benefit of scaling is related to running numerical simulations, since scaling greatly simplifies the choice of values for the input data and makes the simulations...
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    Learning the Landscape: An Active and Applied Lesson on Landscape Ecology for General Ecology Courses
    Landscape ecology is an important subtopic of ecology. As a field, it is inherently interdisciplinary and provides opportunities to teach not only content, but transferable ecological and...
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    A Hands-on Introduction to Hidden Markov Models
    In this Lesson, we describe a classroom activity that demonstrates how a Hidden Markov Model (HMM) is applied to predict a eukaryotic gene, focusing on predicting one exon-intron boundary. This HMM...
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Exercise 10 [Elevation]
    Supplemental data for ABM
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Section 5.5 [Elevation]
    Elevation data input file for Section 5.5 (tab-separated plain text).
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    Bioinformatics: Food Detective – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces the idea of computers as tools to help understand aspects of biology.
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    Using Bioinformatics to Understand Genetic Diseases: A Practical Guide
    This Practical Guide outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases.
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    Bioinformatics: the Power of Computers in Biology – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.

    Keywords: NIBLSEGOBLET

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    2005-Albert_Tarantola-Inverse Problem Theory and Methods for Model Parameter Estimation
    This is a bible of approaches to support parameter estimation approaches in inverse problems. Theory and algorithms are offers with examples.
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    Plasmodium Problem Space
    This problem space brings together diverse resources with the goal of helping biology teachers and learners engage in research investigations.
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    Calling Bullshit DCS 105 Bates College RByte Worksheets
    These are handout worksheets for your in-class RByte activities.
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    Statistics for Biologists
    There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
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