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DEHPD 17 Steps in the Hiring Process
08 Aug 2019 | Teaching Materials | Contributor(s):
By Equity & Diversity in Hiring Process Committee
Higher Education Institutions in Puget Sound
A 17 step document created by people from marginalized populations for equity and diversity in hiring.
Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
06 Jun 2019 | Teaching Materials | Contributor(s):
By Wendy Clement1, Kathleen Prudic2, Jeffrey Oliver3
1. The College of New Jersey 2. University of Arizona 3. University of Arizona Libraries
This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
Developing quantitative skills for ecological data: the effects of climate warming on phenological variation and species interactions
21 Nov 2018 | Teaching Materials | Contributor(s):
By Jill Hamilton1, Zachary Tarble1
North Dakota State University
Students combine long-term observational data sets and experimental warming in an alpine meadow in Gothic, CO to test, evaluate, and interpret ecological data focusing on phenological variation and...
50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
By Richard FitzHugh1, Jin-ichi Nagumo2
1. Technische Hochschule 2. University of Tokyo
The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).
By Bodo Winter1, Sven Grawunder2
1. Department of Cognitive and Information Sciences, University of California, Merced 2. Department of Linguistics, Max Planck Institute for Evolutionary Anthropology
The dataset recorded properties of formal and informal speech registers in Korean.
Innovative Teaching Exchange: Asking Questions in Probability Class
By Queena N. Lee-Chua
Ateneo de Manila University
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...
Statistics for Biologists
By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1
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.
Introduction to Probability, Statistics, and Random Processes
By Hossein Pishro-Nik
Electrical and Computer Engineering Department, University of Massachusetts
This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.
26 Oct 2018 | Teaching Materials | Contributor(s):
By Louise Mead1, Jim Smith2, Wendy Johnson, Michael James Wiser2, Robert T Pennock2, Amy Lark
1. BEACON Center for the Study of Evolution in Action 2. Michigan State University
Published Avida-Ed article
Avida-ED User Manual
By Diane Blackwood
Michigan State University
Basic User manual to use Avida-ED
Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia Marcescens
25 Oct 2018 | Teaching Materials | Contributor(s):
By Laurel Hester1, Mark Sarvary2, Corey Ptak
1. Keuka College 2. Cornell University
This laboratory module gives students hands-on experience with mutation and selection in bacteria.
By Katherine Poole
Information about the many different facial bones.
Breeding synchrony in colonial birds: from local stress to global harmony
By Volker Grimm, Roger Jovani1
Helmholtz Center for Environmental Research
This is a supplemental resource for ABM
The ODD protocol: A review and first update
By Volker Grimm, Uta Berger, Donald L. DeAngelis, J. Gary Polhill, Jarl Giske, Steven F. Railsback
The ‘ODD’ (Overview, Design concepts, and Details) protocol was published in 2006 to standardize the published descriptions of individual-based and agent-based models (ABMs).
Quantitative Reasoning: Peer Review 16(3), 2014
By Shelly Johnson Carey
In this issue of the journal Peer Review, the authors discuss the issues surrounding quantitative literacy.
Theory, models and biology
By Wenying Shou1, Carl T. Bergstrom2, Arup K. Chakraborty3, Frances K. Skinner4
1. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States 2. Department of Biology, University of Washington, Seattle, United States 3. Departments of Chemical Engineering, Physics, Chemistry and Biological Engineering, and the Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, United States 4. Toronto Western Research Institute, University Health Network and the University of Toronto, Toronto, Canada
Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.
Molecular Biology of the Cell (MBoC)
23 Oct 2018 | Teaching Materials
An online journal focusing upon generally-applicable studies of cell biology.
An Introduction to agent-based modeling.
23 Oct 2018 | Teaching Materials | Contributor(s):
By Marco A Janssen
Arizona State University
Introductory level textbook based on a collection of lecture notes from an undergraduate course on agent-based modeling at Arizona State University.
An Introduction to Statistical Learning: with Applications in R
By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3
1. University of Southern California 2. University of Washington 3. Stanford University
This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.