Suggested Weather and Climate Risk Elective Courses

The table below lists a elective courses that are particularly suitable for graduate students who intend to focus their graduate research and careers in areas related to Weather and Climate Risk Analysis.

 

Course

Number

Prerequisites

Instructor

Global Climate Change

GEOSC 597

 

K. Keller

Data Analysis in the Earth Sciences

GEOSC 597

 

K. Keller

Statistical Decision Theory with Environmental Applications

METEO 597G

STAT 318 or other rigorous probability course

A. Small

Weather Risk and Financial Markets

METEO 460

METEO 411; ENNEC 472, EM SC 301 or EM SC 473

A. Small

Computer Methods in Meteorological Analysis and Forecasting

METEO 474

STAT 301 or

STAT 401 or ENNEC 472

G. Young, C. Forest

Financial Risk Management

ENNEC 473

MSIS 200  or STAT 200 or ENNEC 472

(= STAT 301 or STAT 401)

 

Environmental Economics

ECON 428

ECON 302 or ECON 323

 

Econometrics

ECON 490

MATH 110;

ECON 390

 

Introduction to Probability

MATH/STAT  414

MATH 230 or 231

 

Introduction to Mathematical Statistics

MATH/STAT  415

MATH/STAT 414

 

Stochastic Modeling

MATH/STAT 418

MATH 230 or 231

 

Applied Regression Analysis

STAT 462

STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 or

STAT 401

 

Applied Time Series Analysis

STAT 463

STAT 462

 

Survey Sampling

STAT 466

STAT 200, STAT 220, STAT 240, STAT 250, STAT 301 or

STAT 401

 

Continuous-time Stochastic Processes

EE/Math 597D

 

G. Kesidis

Pattern Recognition – Principles and Applications

EE 552

Probability and Vector Calculus

 

Graphs, Algorithms, and Neural Networks

EE 556

Probability and Vector Calculus

 

Adaptive and Learning Systems

EE/CSE 582

EE 580

 


Notes:

  • Weather and Climate Risk students should also take intermediate microeconomics (ECON 302).

  • By taking STAT 414, 415 and three other 400/500 STAT courses, students could get a Graduate Minor in Statistics.

  • Courses with 597 numbers may be one-time offerings or may change to a regular course number at some point in time

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