Tags: matrix models

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  1. An introduction to population matrix models: a swirl lesson

    15 Jun 2020 | Teaching Materials | Contributor(s):

    By Jennifer Apple

    SUNY Geneseo

    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...

    https://qubeshub.org/publications/1926/?v=1

  2. Discrete Math Modeling with Biological Applications (Course Materials)

    29 Jun 2015 | | Contributor(s):: Erin N. Bodine

    This resource has updated versions:Version 1.0 (2018) https://qubeshub.org/qubesresources/publications/749/1Version 2.0 (2019) https://qubeshub.org/qubesresources/publications/749/2 -- This version no longer has the Agent-Based Modeling materialsThese are the...

  3. Discrete Math Modeling with Biological Applications (Course Materials)

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Erin N. Bodine

    Rhodes College

    These are the materials for Math 214 offered at Rhodes College.

    https://qubeshub.org/publications/749/?v=1

  4. Discrete Math Modeling with Biological Applications (Course Materials)

    23 Jan 2019 | Teaching Materials | Contributor(s):

    By Erin N. Bodine

    Rhodes College

    These are the materials for Math 214 offered at Rhodes College.

    https://qubeshub.org/publications/749/?v=2

  5. Discrete Math Modeling with Biological Applications (Course Materials)

    26 Apr 2019 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and RIOS Institute

    These are the materials for Math 214 offered at Rhodes College.

    https://qubeshub.org/publications/765/?v=1

  6. Discrete Modeling and Structures (Course Materials)

    16 Jan 2019 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and RIOS Institute

    These are the materials for DCS course offered at Bates College. This is a sampler of structures and ways they are used to model biological and social phenomena.

    https://qubeshub.org/publications/1016/?v=1