Systems Science and Obesity
College :
Department :
Credits :
GE Field :

Platform :
University :
Johns Hopkins University
Instructors :
Daniel Taber, Jessica Jones-Smith, Kayla de la Haye, Rahmatollah Beheshti, Thomas Glass
Language :
Peer Review
  • 4Content
  • 4Match
  • 4Total
    推薦留言共 3 則
  • 可以搭配學校專業知識課程(各種醫學課程)讓我們在思考科學實驗問題時有更多不同面相的思考觀點,雖然有不少程式設計概念在裡面但是很實用. 8/17/2020 9:23:51 PM
  • 教的不錯 不用怕英文不好 可以的 5/31/2020 9:46:44 PM
  • 學習到很多不同面向。 7/25/2019 8:37:28 PM
Course Goals
Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis. 
However, it is just beginning to impact public health. 
This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. 
There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo).
The central organizing idea of the course is to examine the obesity epidemic at a population level as an emergent properties of complex, nested systems, with attention to feedback processes, multilevel interactions, and the phenomenon of emergence. 
While the emphasis will be on obesity, the goal will be to explore ways in which the systems approach can be applied to other non-communicable diseases both nationally and internationally.
Course Syllebus
a) the epidemiology of obesity across time and place, 
b) theories to explain population obesity, 
c) the role of environments and economic resources in obesity 
c) basic concepts and tools of systems science, 
d) modeling energy-balance related behaviors in context, 
e) agent-based models, systems dynamic models, and social network models
Other Info.