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University of Delaware June 22, 2014 Big Data on the Chesapeake Stacey Kiser, Lane Community College Meegie Wheat, Michelle Fisher, and Ethel Stanley Three Rivers Community College

University of Delaware June 22, 2014 Big Data on the Chesapeake

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University of Delaware June 22, 2014 Big Data on the Chesapeake Stacey Kiser, Lane Community College Meegie Wheat, Michelle Fisher, and Ethel Stanley Three Rivers Community College. Session Agenda Introduction Using Cases as Entry Points for Interdisciplinary Data and Decision Making - PowerPoint PPT Presentation

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Page 1: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

University of DelawareJune 22, 2014

Big Data on the Chesapeake

Stacey Kiser, Lane Community CollegeMeegie Wheat, Michelle Fisher, and Ethel Stanley

Three Rivers Community College

Page 2: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

Session Agenda

Introduction Using Cases as Entry Points for Interdisciplinary Data and Decision Making

The Crabby Chef Case Analysis: Know/Need to Know Questions

Tools and Resources:It’s a Buoy! Eyes on the Bay and Stats Map

Group Work Poster Presentation

Face-to-Face, Blended, and Web-based Modes

Wrap Up

Page 3: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

“Build into every course inquiry*, the processes of science, a knowledge of what practitioners do, and the excitement of cutting edge research.”

“involving the student in asking questions and finding answers” Shaping the Future: New Expectations for Undergraduate Education in Science, Mathematics, Engineering and Technology NSF, 1996. (p. 53)

STEM Undergraduate Education

Page 4: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

The Crabby Chef

Chef Gina studied the produce list from the farm delivery. “If only Lake Michigan grew blue-shelled crabs,” she thought as she put together the menu for the week. She checked on the current Chesapeake Bay price for crab. “Could that price be correct?”

Ranting under her breath, Chef Gina stomped out of the tiny cubby generously called an office and ran into the sous chef Marcos in the prep area. Looking up from his work, he asked, “What’s wrong, Chef?”

Page 5: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

The Crabby Chef

Chef Gina studied the produce list from the farm delivery. “If only Lake Michigan grew blue-shelled crabs,” she thought as she put together the menu for the week. She checked on the current Chesapeake Bay price for crab. “Could that price be correct?”

Ranting under her breath, Chef Gina stomped out of the tiny cubby generously called an office and ran into the sous chef Marcos in the prep area. Looking up from his work, he asked, “What’s wrong, Chef?”

Page 6: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

Gina’s Blue Crab price lists (.xlsx)

8/24/2010

8/06/2013

Page 7: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

“We can’t possibly charge enough to cover the cost of the blue-shelled crab I planned for next week. Last year the price was half as much as the highway robbery I just saw online,” Chef Gina said.

Seeing his boss searching the ceiling for an answer, Marcos responded, “Too many people eating blue crabs?”

“Global warming?” offered Jody. She continued to push the overfilled garbage bin towards the back entrance oblivious to Gina’s look of dismay.

Page 8: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

What is this case about?

Recognize potential issues and major topics in the case.

 

Page 9: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

 

What Do I Know? What Do I Need to Know?

Groups should enter what they already know

that is related to the case in the “What Do I Know” column.

Enter questions you would like to learn more about in order to understand the case in the “What Do I Need to Know” column.

  Case Analysis Form (live)

Page 10: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

iPhone app: CBW (Chesapeake Bay Watch)

Page 11: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

http://www.ndbc.noaa.gov/

NOAA National Data Buoy Centerhttp://www.ndbc.noaa.gov/

Page 15: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

Group Work Poster: Make a single PowerPoint slide to be projected as a complete poster. Set the dimensions as 42 cm high X 60 cm wide using the “Page Set Up” within the “File” dropdown menu in PowerPoint.

Poster Upload (bq2014)

Page 16: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

Technology in the Classroom

Page 17: University  of Delaware June 22, 2014 Big  Data on the Chesapeake

To initiate open investigations To utilize new technologies and resources in problem

solving To develop local and global perspectives To emphasize the value of interdisciplinary and

collaborative approaches To structure student assessment through student

products To support diverse objectives within a shared work

space To engage students in online environments

Why use cases?