The following table gives a schedule of topics we will cover in lecture, along with lecture slides, lab notebooks, readings, and any other resources (such as tutorials or code demonstrations). This table will be updated as necessary, as some discussions may take more or less time than anticipated.

Links to readings from peer-reviewed literature may require a Cornell login for access, and the articles will also be made available as Library Reserves in Canvas.

To save the lecture slides as a PDF, save the web version of the slides to a PDF using your browser.

Please make sure that you have updated (with a git pull) your local version of the class lab notebook repository ahead of lab sessions.

Week	Topic	Slides	Lab Notebook	Readings	Resources
	Overview of Climate Risk Management
1	Class Overview
2	Risk and Uncertainty			Simpson et al (2021)
3	Intro to Climate Risk Management			Morgan & Keith (2008)
4	Overview of Coastal Flood Risk			Van Dantzig (1956)
5	Model Calibration and The Bootstrap				Cosma Shalizi's bootstrap notes
6	Bayesian Statistics				Bayesian Data Analysis
7	Bayesian Computation and Markov Chains			Oppenheimer et al (2008)
8	Markov Chain Monte Carlo
9	Storm Surge and Extreme Values
10	Nonstationarity			Read and Vogel (2015)
11	Model Assessment			Oreskes et al (1994)
12	Model Selection			Höge et al (2019)
13	Emulation			Helgeson et al (2021)
14	Integrating Vulnerability, Exposure, and Response
15	Project Presentations

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