NTRES 6940

NTRES 6940

Course information provided by the Courses of Study 2019-2020.

The department teaches "trial" courses under this number. Offerings vary by semester and are advertised by the department before the semester starts. Courses offered under the number will be approved by the department curriculum committee, and the same course is not offered more than twice under this number.

When Offered Fall or Spring.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • Topic: Environ Mgmt and Plan for Asia

  • 18053NTRES 6940  LEC 001

  • This problem/project-based, experiential-learning course is intended for those interested in international environmental management and investment planning with special focus on globally-relevant case studies from Asia. Although Asia focused, this course will introduce students to, and equip with, analytical skills and planning tools currently utilized by international environmental management and planning practitioners globally. Applications required for this course. Please e-mail to On-Campus Leadership (javedhussainmir@gmail.com; lassoie@cornell.edu, and hz64@cornell.edu) AS SOON AS POSSIBLE (no later than November 10 as space is limited)

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 2 Credits Sat/Unsat

  • Topic: Bioenergetics Modeling of Aquatic Organisms

  • 18054NTRES 6940  LEC 002

  • NTRES 6940 - Bioenergetics Modeling: Theory and Applications. Bioenergetics processes govern the movement of energy through organisms. Bioenergetics modeling provides an important tool to understand a wide range of ecological mechanisms related to individual specimen life history strategies, growth, food web energy flows, predator-prey interactions, and the accumulation of contaminants, among other applications. In this graduate seminar, students will learn the theoretical foundations of bioenergetics modeling for aquatic species, and have opportunity to conduct bioenergetics analysis on one of two class research projects.

Enrollment Information
Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Sat/Unsat

  • Topic: Reproducible and Collaborative Data Science in R

  • 18646NTRES 6940  LEC 003

    • MWFernow Hall G24
    • Mar 3 - Apr 23, 2020
    • Therkildsen, N