Program

Please plan to arrive in Northfield in time for the 5:00pm start time on Sunday, October 18, 2015 and depart after 4:30 on Tuesday, October 20.

Show Workshop Goals

Understand how we are currently using MATLAB as a teaching tool in undergraduate Earth science education
Identify the critical needs that MATLAB can help fill
Synthesize best practices for using MATLAB in geoscience, geography, and environmental science courses to teach quantitative skills
Create a community that can work collaboratively on teaching materials and other projects in this area
Compile teaching activities, examples, and a synthesis of workshop findings for publication on the project website

Sunday, October 18

Afternoon: Participants arrive and check into hotel.

5:00 PM Welcoming remarks and icebreaker- Carleton College, Weitz Center, Larsen Room 236

Cailin Orr, SERC Assistant Director, Carleton College
Fernan Jaramillo - Associate Dean of the College, Professor of Biology, Carleton College

6:00-7:15 Dinner with cash-only bar

7:15-7:30 Introductions and goals of the workshop (PowerPoint 2007 (.pptx) 2.2MB Oct18 15) (Lisa Kempler- MATLAB Community Strategist, MathWorks)

7:30-8:00 Opening session

Hello Earth! A groundedintroduction to MATLAB (Acrobat (PDF) 3.7MB Oct19 15)
Frederik Simons, Princeton University

8:00 PM Discussion

Monday, October 19

6:00 AM Complimentary breakfast at the Northfield Country Inn

*All workshop activities will take place at Carleton College, Weitz Center, Larsen Room 236

8:30-9:00 Introduction and goals for the day (Cailin Orr, SERC)

9:00-9:45 Discussion around the tables of how you use MATLAB in your teaching using the submitted activities and essays as examples. Seating will be assigned by theme.

Group Reporting Pages (private workspace)

9:45-10:00 Coffee Break

10:00-11:00 Invited talk and questions (Introduction from Cailin Orr, SERC)

MATLAB in the undergraduate curriculum (Acrobat (PDF) 160kB Oct19 15)
Anantha Aiyyer, North Carolina State University

11:00-12:00 Panel discussion using MATLAB and data in the classroom (Moderators Carol Ormand and Cailin Orr, SERC)

Peter Adams, University of Florida
Time Series Analysis: Using Autocorrelation and Cross-correleation to Explore Links Between River Discharge and Regional Climate

Jackie Caplan-Auerbach, Western Washington University
Using Real Data: Signal processing in seismology

Victor Padron, Normandale Community College
Making Math Relevant: Tracking Groundwater Pollution

12:00-12:15 Division into topical groups for after lunch work based on pre-workshop work

12:15-1:30 Lunch - Language and Dining Hall

1:15-2:30 Working groups: Background, adaptation, and skills needed to teach MATLAB to undergraduates

Group Reporting Pages (private workspace)

2:30-2:45 Report out and synthesis (Led by Cailin/Carol/Kristin)

2:45-3:15 Strengthening your MATLAB knowledge - Part 1

Reflect on what you have learned, how you will use this in your teaching and what in specific you still need to know more about
Share and form groups

3:15-3:30 Coffee Break

3:30-4:40 Strengthening your MATLAB knowledge - Part 2

Small groups work together and with an expert to address identified topics (Experts: Lisa Kempler and Loren Shure, Frederik Simons, Anantha Aiyyer, Mark Behn)
Reporting Pages (private workspace)

4:45-5:30 MATLAB from an Insider (Loren Shure, MathWorks)

Loren's script ( 485kB Oct19 15)

5:30-5:50 End of day remarks, organizing for dinner, individual reflection and roadcheck

7:00 Dinner on the town (see restaurant selection handout in folder)

After dinner - informal opportunities to socialize on the town

Tuesday, October 20

6:00 AM Complimentary breakfast at the Northfield Country Inn

8:30-8:45 Opening and agenda for the day (Cailin, SERC)

8:45-9:30 Invited talk and questions (Introduction from Lisa Kempler- MathWorks)

Introduction to MATLAB in research with students ( 35.6MB Oct20 15) PDF version (Acrobat (PDF) 16.1MB Oct20 15)
Mark Behn, Woods Hole Oceanographic Institution

9:30-9:40 Stretch and reflect

9:40-10:30: Panel Discussion: Challenges of teaching quantitative skills

Charley Bank, University of Toronto
Working in 3D: Visualizing outcrop patterns from strike/dip data using MATLAB

Risa Madoff, University of North Dakota-Main Campus
Using computer programming and math concepts: Introduction to MATLAB for Geomorphology

Andrew Fischer, University of Tasmania
Working with data sets: An Exploration of Ocean Color and Sea Surface Temperature

10:30-10:45 Strategies for Addressing Critical Challenges