Carleton Interdisciplinary Computational Modeling Workshop
Sponsored by HHMI, CISMI, QuIRK, ITS, Sigma Xi, LTC, SERC, & Mellon Faculty Lifecycles
Friday evening April 21
6-9 PM - Dinner at Headley House followed by an overview of computational modeling by Bob Panoff
Saturday April 22
8:30 AM - Continental breakfast CMC 110 lobby area
9-9:50 AM - Disciplinary-based groups exchange information about where they see potential for modeling in their fields. CMC breakout rooms
10-10:50 AM—Introduction to computational modeling tools and approaches for undergraduate learning. CMC 110
10:50-11 AM—Refreshments and beverages will be available throughout the morning. Please remember to keep food and drink away from CMC 110
11—11:50 AM - Cross-disciplinary groups meet to brainstorm a problem of mutual interest that students could attack using computational modeling. CMC breakout rooms
12-1:30 PM—Lunch. Here's an opportunity to rejoin your disciplinary group and share what you have learned in your cross-disciplinary discussions. SH 251
1:30—2:20 PM—More modeling tools that you might want to integrate into your teaching. CMC 110
2:20-2:30 - Refreshments and beverages will be available throughout the afternoon. Please remember to keep food and drink away from CMC 110
2:30—3:20 PM—Cross-disciplinary groups take the problem they identified earlier and build a plan for how a learning module could be developed. This could be an interdisciplinary module used in one course, one that is used in two complementary courses simultaneously, or a module that could be integrated into a term-long interdisciplinary computational modeling course (the first such course will be offered next spring). What would you need to move from your concept to implementation? CMC breakout rooms
3:30—4:30 PM—Cross-disciplinary groups report back CMC 110
1) Complete a workshop assessment on line.
2) Submit a brief description of your cross-disciplinary groups problem and approach to the organizers.
3) Wish list—E-mail Arjendu (firstname.lastname@example.org) with your wish list of software or a modeling book that you would use to explore integrating computational modeling into your own course or to develop an interdisciplinary module with a colleague.