Interdisciplinary STEM Education for Millennial Students
Workshop Sessions Resources
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1. Interdisciplinary Biology, Mathematics, and Physics Education
NEXUS: 1. Random diffusion versus directed movement of particles in the onion cell BioQUEST_OnionWorkshop_June21_2014
NEXUS: 2. Dimensions and Scaling: How Big is a Worm?
Joe Redish and Kim Moore (University of Maryland)
Any attendees wishing to use their own laptops for data analysis should download and install the ImageJ software (with Manual tracking plug-in). Here are some download instructions.The lab documents/files we will use are these:http://umdberg.pbworks.com/w/
file/fetch/70833121/Lab%205_ Onion%20Cells.pdf http://umdberg.pbworks.com/w/
page/61378642/Log-Log_Plots_ WhyDoWeLikeThem http://umdberg.pbworks.com/w/
file/fetch/69416036/ TechnicalDocument_ IntroToVideoCapture.pdf http://umdberg.pbworks.com/w/
file/fetch/69180490/ TechnicalDocument_ IntroToImageJ.pdf http://umdberg.pbworks.com/w/
file/fetch/69180489/ImageJ% 20Quick%20Reference%20Sheet.
2. BIRDD: Beagle Investigation Returns with Darwinian Data
Kristin Jenkins (University of Wisconsin-Madison) and Sam Donovan (University of Pittsburgh)
3. BEEPOP: The Population Dynamics of the Honey Bee in the Hive and in the Wild
Joe Watkins (University of Arizona)
4. Designing Active Learning Exercises for Mathematical Biology and Ecology Classes
Steve Adolph (Harvey Mudd College)
5. Problem Based Learning in Biochemistry and Integrated Biology and Chemistry
Hal White and Deborah Allen (University of Delaware)
BAMBED 36(4),262-273 (2008) P(X)nL Pedagogies of Engagement
6. Modeling Phage in a Predator-Prey System
Pak-Wing Fok (University of Delaware)
7. Big Data on the Chesapeake: Technology, Quantitative Reasoning, and Collaboration for Interdisciplinary Learners
Stacey Kiser (Lane Community College) and Meegie Wheat, Michelle Fisher and Ethel Stanley (Three Rivers College)
Big Data on the Chesapeake 2014-Final
Group Posters
POSTER_Bioquest2014_WkshpIV_Chesapeake
8. The Biological ESTEEM Project (Excel Simulations and Tools for Exploratory, Experiential Mathematics): Hidden Markov Model and Evolutionary Bioinformatics
Anton Weisstein (Truman State University)
Building Mathematical Models and Biological Insight (Weisstein 2011 PREPRINT)
Strategic Simulations and Post-Socratic Pedagogy (Jungck & Calley 1985)
Ten Equations that Changed Biology (Jungck 1997)
The Case of the Protective Protein (Weisstein 2010)
Using PharmacoKinetics to Introduce Biomathematical Modeling (Koch-Noble 2011 PREPRINT)
9. Exploring the Human Transcriptome
Claudia Neuhauser (University of Minnesota) NUMB3R5 COUNT: Numerical Undergraduate Mathematical Biology Education
RNA_Seq Worksheet docx 508 KB
RNA_Seq Worksheet pdf 595 KB
RNAseqWang2008BioQUEST2014SMALL xls 4.27 MB
The Numbers Count Project from the University of Minnesota was initially funded by HHMI and focuses on biological problem solving. Faculty workshop and classroom resources include biological data (Excel files, images, and FASTA format text files), introductory mathematical modules for biology and chemistry, concepts in statistics mapped to individual modules, our workshop resources (materials, tools, data, powerpoints, and participant products), course materials for Calculus and Freshman Statistics, and links to sites focusing on data, modeling tools, and visualization.
10. a. MathBench
Kaci Thompson and Karen Nelson, University of Maryland
MathBench Biology Modules developed at the University of Maryland introduce students to the mathematical underpinnings of what they learn in introductory biology courses. Their goal is to integrate quantitative approaches and mathematics more deeply into the undergraduate curriculum in a way that (1) reinforces biological concepts, (2) increases math literacy, and (3) prepares students for more complicated mathematical approaches in upper-level courses.
10. b. Bringing Data-intensive Approaches into Ecology and Conservation Courses
Leslie Ries, SeSync, University of Maryland, Keryn Bromberg Gedan, University of Maryland, and Gina Wimp, Georgetown University
SeSync The National Socio-Environmental Synthesis Center (SESYNC)—funded through a National Science Foundation grant to the University of Maryland—is dedicated to solving society’s most challenging and complex environmental problems.