ENGRCEE 274 Climate Data Analysis (2015-2016)

ENGRCEE 274 Climate Data Analysis

(Not required for any major.)
Catalog Data:

ENGRCEE 274 Climate Data Analysis (Credit Units: 4) Trend analysis; statistical indices for diagnosing and detecting changes in extremes; nonstationary processes; extreme value analysis; multivariate extreme value methods; tail dependence estimation; uncertainties in observed and projected changes in climate extremes (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-9400744783.

Recommended Textbook:
None
References:

Course material provided as needed, depending on the topics selected for discussion in class.

Coordinator:
Amir AghaKouchak
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
Lecture Topics:
  • Change Extremes – Basic Definitions
  • Statistical Indices for Diagnosing and Detecting Changes in Extremes
  • Extreme Value Theory
  • Trend Analysis
  • Statistical Methods for Nonstationary Extremes
  • Bayesian Methods for Nonstationary Extreme Value Analysis
  • Return Periods and Return Levels Under Climate Change
  • Multivariate Extreme Value Methods
  • Methods of Tail Dependence Estimation
  • Stochastic Models of Climate Extremes: Theory and Observations
  • Methods of Projecting Future Changes in Extremes
  • Climate Variability and Weather Extremes: Model-Simulated and Historical Data
  • Uncertainties in Observed Changes in Climate Extremes
  • Uncertainties in Projections of Future Changes in Extremes
  • Global Data Sets for Analysis of Climate Extremes
  • Nonstationarity in Extremes and Engineering Design
Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:

MATLAB, EXCEL Spreadsheet software

Laboratory Projects:
Professional Component

Contributes to Engineering Topics courses of Civil Engineering and Environmental Engineering majors.

Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
  • Homework: 30%
  • Quizzes and Participation:10%
  • Project: 30%
  • Final Exam: 30%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 4.0 credit units

Engineering Science: 3.0 credit units

Engineering Design: 1.0 credit units

Prepared:
August 6, 2014
Senate Approved:
May 31, 2013
Approved Effective:
2013 Fall Qtr