ECOL 592 Interdisciplinary Seminar

Future Offerings

Listings for Spring 2016 will be posted here by registration time.

Current Offerings: Fall 2015

Sustainable Food Systems

Theresa Nogeire, Meagan Schipanski, Cini Brown

Description:Students and faculty will work together to review and synthesize current research on food systems. Food systems, including the production, processing, distribution, and consumption of food and associated waste management, have far-reaching impacts on the health of a community. We will focus on how the organization and scale of food systems impacts sustainability, and will approach this problem via the disciplines of conservation science, economics, agroecology and sociology. Students will also learn about defining research questions in interdisciplinary research. Students will be responsible for weekly readings, class participation and a short summary of a subset of the readings. Students will also have the opportunity to continue to be involved in CSU's new Food Systems Global Challenges Research Team. Other instructors include Elizabeth Ryan; Michael Carolan; Arathi Seshadri; Franklyn Garry.

Credits: 1
Restrictions:
First Meeting: 8/26/2015
Meeting Times: Wednesdays, 12-1pm
Classroom: C-021 Plant Sciences
CRN: 60164
Section Number: 1
Cross Listed:
Enrollment Limit: 15
Background:
Course Text:
Instructor Contact Info:
      Theresa Nogeire nogeire@rams.colostate.edu 970-692-6211
      Meagan Schipanski meagan.schipanski@colostate.edu
      Cini Brown cynthia.s.brown@colostate.edu

Introduction to Bayesian Data Analysis

Nate Lemoine, Melinda Smith

Description:Bayesian analytical methods provide a number of advantages over traditional null hypothesis testing. For example, Bayesian statistics help researchers avoid the arbitrary cutoff denoting �??�??�??�?�¢�??�???�??�???statistical significance�??�??�??�?�¢�??�???�??�???, posteriors can be manipulated to provide full uncertainty in any derived parameters, and Bayesian software provides the flexibility to fit an enormous variety of models. This flexibility allows researchers to analyze complex datasets that do not conform to models readily available in most statistical software or to answer new and exciting questions in ecology. However, Bayesian techniques remain inaccessible to most ecologists because they require extensive programming skills that are not currently taught in most statistics courses. This seminar will cover the principles of Bayesian statistics, including theory and philosophical issues, while emphasizing application. Students will learn how to code and interpret a range of statistical tests, from simple t-tests and ANOVAs to complex hierarchical models, using STAN, the most cutting edge Bayesian software available. Familiarity with R and/or Python programming languages, as well as basic statistics, is required.

Credits: 2
Restrictions:
First Meeting: 8/24/2015
Meeting Times: M 2:00-4:00pm
Classroom: Yates 208
CRN: TBD
Section Number: 2
Cross Listed:
Enrollment Limit: 15
Background: Experience with R/Python programming, linear algebra helpful
Course Text:
Instructor Contact Info:
      Nate Lemoine nate.lemoine@colostate.edu 713-256-7122
      Melinda Smith melinda.smith@colostate.edu 1-7155

Communicating Science

Jill Baron, Shinichi Asao, Megan Machmuller

Description:Scientists are increasingly asked to make their science more accessible to audiences beyond those reached through scientific publication. Whatâ??s more, countless science stories go untold, holding secret the reasons why nature should be cherished and preserved, and letting louder, non-scientific views of the universe gain traction. In this course, students will explore different methods of science communication and apply them in two ways: 1) through EcoPress, a science communication website for Natural Resources Ecology Laboratory here at CSU, 2) through ESA for a national audience. With guest lectures and in-class activities, students will explore how to communicate online and in person, engage in social media, use website analytics, and create resources that target specific audiences. Working in groups, students will apply what they learn, creating content to be published on EcoPress. At the end of this course, students will produce a science story of their choice, and publish it through ESA. Our goal is to go beyond the theory - to put theory into practice and publish our story for real audiences

Credits: 1
Restrictions:
First Meeting: 8/26/2015
Meeting Times: Wed 4-4:50 pm (decide on first meet, weekly for 10 weeks)
Classroom: NESB B215
CRN:
Section Number: 0
Cross Listed: none
Enrollment Limit: 9
Background: none
Course Text:
Instructor Contact Info:
      Jill Baron jill.baron@colostate.edu 9704911968
      Shinichi Asao shinichi.asao@colsotate.edu (970) 491-3615
      Megan Machmuller megan.machmuller@colostate.edu 402-578-9503

 

Previous Offerings

Previous ECOL 592 course descriptions available on the Past 592 page.