Course Description

The impacts of climate variability and change are subject to a number of deep and dynamic uncertainties which complicate systems design and management. Using coastal flood risk management as motivation, this course will introduce concepts and methods for uncertainty characterization and quantification for systems experiencing dynamic environmental risk and will explore implications of uncertainty for decision-making. Students will develop and apply these uncertainty and decision analyses in the context of several example systems.

⚠ Note
This course will use the Julia programming language. No prior knowledge of Julia is required.

Learning Outcomes

Upon completing this class, students should be able to:

  1. Identify pathways through which climate variability and change poses risks;

  2. Assess system and model responses to varying factors with sensitivity analysis and exploratory modeling;

  3. Quantify uncertainties when appropriate using methods from frequentist and Bayesian statistics;

  4. Analyze the influence of uncertainty on risk management and decision-making.

Prerequisites

Students should be familiar with:

In Cornell terms: roughly BEE 4750, CEE 3040 or ENGRD 2700, MATH 1920, or with permission of instructor.

Course Logistics

Class Meetings

MW, 1:00-2:15pm, 225 Riley-Robb Hall

Office Hours

By appointment, and/or ask after class.