Start a new Sample Syllabi and Course Reflection
Select a tag (or keyword) from the list below to browse through available resources in that category.
View more ›
Sample SIMIODE Course Syllabus
24 Jun 2015 | Sample Syllabi and Course Reflections | Contributor(s): Brian Winkel
Sample SIMIODE Course Syllabus This syllabus is designed for a 15 week, 3 credit hour course using experimentation, modeling, and technology to lead students through a traditional sequence of differential equations topics. All hyper-linked...
Index SIMIODE Course Materials
Index of SIMIODE Course Materials (fashioned after traditional text Table of Contents)This is an Index of Modeling Scenarios and Text Narratives. Numbered materials have been refereed, revised, and posted.These materials are hyper-linked to Student Versions at https://www.simiode.org ...
Differential Equations at Westminster College Personal Account
21 Sep 2016 | Sample Syllabi and Course Reflections | Contributor(s): Holly Zullo
This paper describes the author's experiences teaching differential equations with a strong modeling component at a small liberal arts college. The course structure and incorporation of modeling are discussed, as well as challenges and rewards associated with this approach.
Reflection - Slowly Introducing Modeling First into Differential Equations Classes
24 Sep 2016 | Sample Syllabi and Course Reflections | Contributor(s): Dina Yagodich
Differential Equations at Manhattan College: A Personal Account
24 Sep 2016 | Sample Syllabi and Course Reflections | Contributor(s): Rosemary Carroll Farley
This is my personal account of how the SIMIODE modeling first approach was adapted for use in my classes at Manhattan College. The comments here pertain to the 200-level differential equations course that I taught in Spring 2016. This course is required of every student in...
A Teaching Resource for Complex Systems, Machine Learning and Computational Biology
05 Jan 2018 | Sample Syllabi and Course Reflections | Contributor(s): Soumya Banerjee, Joyeeta Ghose
This work presents a collection of teaching materials related to complex systems, machinelearning, computational biology and computational immunology.