Interdisciplinary Studies (IDSC)
IDSC 100. Measured Thinking: Reasoning with Numbers about World Events, Health, Science and Social Issues This interdisciplinary course addresses one of the signal features of contemporary academic, professional, public, and personal life: a reliance on information and arguments involving numbers. We will examine how numbers are used and misused in verbal, statistical, and graphical form in discussions of world events, health, science, and social issues. Students will also apply quantitative reasoning skills to assist community organizations. 6 cr., S/CR/NC, SS, FallN. Lutsky
IDSC 200. Northfield: Public Service in Local Context In this two week course, students will read, discuss and reflect on several texts (fiction and non-fiction) about public service and social responsibility and complete a community-based learning project characterizing several aspects of the Northfield community. In addition to reading and discussion, we expect students to spend considerable time outside of class in the Northfield community. 2 cr., S/CR/NC, ND, FallM. Savina
IDSC 209. Writing Science This course will explore how scientists communicate. Focused on communication expected in the sciences. The assignments will range among math and natural science disciplines, using data, graphics and text for a variety of purposes. Students should expect reading, writing, and speaking assignments tailored to a variety of audiences, including professional scientific audiences and the broader community. This course is intended for students who have taken at least one introductory mathematics or natural science course. 6 cr., ND, Not offered in 2006-2007.
IDSC 217. Interdisciplinary Computational Modeling This course will expose students with an introductory science background to the complexity and interdisciplinary natures of real-world science problems. It will also show them, by example, the value of intelligent modeling and introduce them to how modeling works. The students will be exposed to particular tools, including computational packages, and will spend the second half of the course applying these techniques working one particular project in small interdisciplinary teams. No prior knowledge of computation and only some calculus background are assumed. Prerequisites: Math 121 and at least one introductory science course with a lab or by permission of instructor. 6 cr., MS, SpringA. Pattanayak, S. Singer, B. Titus