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  1. DataONE Module 03: Data Management Planning

    DataONE Module 03: Data Management Planning

    2018-10-30 10:25:27 | Teaching Materials | Contributor(s): Amber E Budden | doi:10.25334/Q49T59

    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.

  2. DataONE Module 02: Data Sharing

    DataONE Module 02: Data Sharing

    2018-10-30 10:15:19 | Teaching Materials | Contributor(s): Amber E Budden | doi:10.25334/Q4FH9Z

    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

  3. Questions For Biology: Concept Inventories for Biological Concepts

    Questions For Biology: Concept Inventories for Biological Concepts

    2018-10-30 09:53:09 | Teaching Materials | Contributor(s): Gülnur Birol, Greg Bole, Sunita Chowrira, Bridgette Clarkston, Thomas Deane, Malin Hansen, Erica Jeffery, Pam Kalas, Kathy Nomme, Rosemary Oh-McGinnis, Angie O’Neill, Carol Pollock, Joan Sharp, Karen Smith, Michelle Tseng | doi:10.25334/Q4KB02

    The Questions For Biology (Q4B) team aims to create validated concept inventories for use in diagnosing student misconceptions, informing teaching practices and tracking learning gains across a host of Biology classes at UBC.

  4. Computational Biology using R

    Computational Biology using R

    2018-10-30 09:32:35 | Teaching Materials | Contributor(s): Hong Qin | doi:10.25334/Q4Q14Q

    This is an introductory level course on computational biology.

  5. Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology

    Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology

    2018-10-30 08:24:12 | Teaching Materials | Contributor(s): Borbala Mazzag, Kamila Larripa | doi:10.25334/Q4TT6B

    The course is a mathematical and computational exploration of five diverse areas of biology: human locomotion, gene sequence analysis, signal transduction pathways involved in cancer, neurophysiology and neuroanatomy.

  6. Fitzhugh-Nagumo Model

    Fitzhugh-Nagumo Model

    2018-10-30 07:44:21 | Teaching Materials | Contributor(s): Richard FitzHugh, Jin-ichi Nagumo | doi:10.25334/Q4372F

    The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).

  7. ModelSim Population Biology Unit

    ModelSim Population Biology Unit

    2018-10-30 07:28:17 | Teaching Materials | Contributor(s): Uri Wilensky, Paulo Blikstein, Corey Brady, David Figlio, Pratim Sengupta, Jason Bertsche, Yu (Bryan) Guo, Nathan Holbert, Michael Novak, Firat Soylu, Aditi Wagh, Gokul Krishnan, Brogan Miller, Shima Salehi | doi:10.25334/Q4714C

    This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology.

  8. Politeness Data

    Politeness Data

    2018-10-30 07:15:25 | Teaching Materials | Contributor(s): Bodo Winter, Sven Grawunder | doi:10.25334/Q4BQ6Z

    The dataset recorded properties of formal and informal speech registers in Korean.

  9. Statistical Exploration of Climate Data

    Statistical Exploration of Climate Data

    2018-10-30 07:01:12 | Teaching Materials | Contributor(s): Tamra Carpenter, Jon Kettenring, Robert Vanderbei | doi:10.25334/Q4GH8W

    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.

  10. Java Applets for Power and Sample Size

    Java Applets for Power and Sample Size

    2018-10-30 06:38:36 | Teaching Materials | Contributor(s): Russ Lenth | doi:10.25334/Q4M71Q

    This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.

  11. Innovative Teaching Exchange: Asking Questions in Probability Class

    Innovative Teaching Exchange: Asking Questions in Probability Class

    2018-10-30 06:28:23 | Teaching Materials | Contributor(s): Queena N. Lee-Chua | doi:10.25334/Q4R141

    This is an article in MAA's Innovative Teaching Exchange that describes strategies to get students past thoughtless number crunching, guessing, and intuition when it comes to solving probability problems.

  12. Statistics for Biologists

    Statistics for Biologists

    2018-10-30 06:22:36 | Teaching Materials | Contributor(s): Magdalena Skipper, Ritu Dhand, Helen Pearson, Francesca Cesari | doi:10.25334/Q4VQ6M

    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.

  13. Introduction to Probability, Statistics, and Random Processes

    Introduction to Probability, Statistics, and Random Processes

    2018-10-30 05:50:47 | Teaching Materials | Contributor(s): Hossein Pishro-Nik | doi:10.25334/Q40H8J

    This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.

  14. Hawk vs. Dove Game

    Hawk vs. Dove Game

    2018-10-30 05:38:51 | Teaching Materials | Contributor(s): Drew LaMar | doi:10.25334/Q4472R

    Hawk vs. Dove Game is a model of conflict for two players in game theory.

  15. Tools: New tools for new science

    Tools: New tools for new science

    2018-10-30 04:25:52 | Teaching Materials | Contributor(s): Harry Shum | doi:10.25334/Q4HH86

    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

  16. Do Cell Phones Cause Brain Tumors?

    Do Cell Phones Cause Brain Tumors?

    2018-10-30 04:09:25 | Teaching Materials | Contributor(s): Derek Muller | doi:10.25334/Q4N72D

    This YouTube video talks about whether there is a causal relationship between cellphone usage and brain cancer.

  17. OpenIntro

    OpenIntro

    2018-10-30 03:39:58 | Teaching Materials | Contributor(s): Divid Diez, Chris Barr, Mine Çetinkaya-Rundel | doi:10.25334/Q4S14B

    OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.

  18. BIO103R: Bio 103 and 104 Labs in R at URI

    BIO103R: Bio 103 and 104 Labs in R at URI

    2018-10-29 14:35:44 | Teaching Materials | Contributor(s): Rachel Schwartz, Linda Forrester | doi:10.25334/Q4P72Q

    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

  19. BIO 263 Ecological Data Analysis

    BIO 263 Ecological Data Analysis

    2018-10-29 14:30:20 | Teaching Materials | Contributor(s): Rachel Schwartz, Linda Forrester | doi:10.25334/Q4SX49

    Course materials for BIO 263 Ecological Data Analysis

  20. BIO 439/539: Big Data Analysis

    BIO 439/539: Big Data Analysis

    2018-10-29 14:24:24 | Teaching Materials | Contributor(s): Rachel Schwartz, Linda Forrester | doi:10.25334/Q4XQ67

    Course materials for BIO 439/539: Big Data Analysis