Courses

Considers probability concepts and theory for better design and control of aerospace engineering systems.Includes descriptive and inferential statistical methods for experimental analysis. Also covers discrete and continuous random variable distributions, estimators, confidence intervals, regression, analysis of variance, hypothesis testing, nonparametric statistics, random processes, and quality control, including software models of same. Prereq., junior or graduate standing or instructor consent. Same as ASEN 5047.

Same as ASEN 4047. Prerequisites: Restricted to College of Engineering graduate students or Aerospace Engineering Concurrent Degree majors only.

Provides an introduction to the methods and mathematics of advanced engineering analysis tailored to aerospace engineering applications. Topics include vector and tensor calculus, ordinary differential equations, and an introduction to the calculus of variations. Prerequisites: Restricted to College of Engineering graduate students or Aerospace Engineering Concurrent Degree majors only.

Gives students broad exposure to a variety of traditional and modern statistical methods for filtering and analyzing data. Topics include estimation methods, principal component analyses and spectral analyses. Introduces these methods and provides practical experience with their use. Students carry out problem assignments. Prerequisites: Restricted to College of Engineering graduate students or Aerospace Engineering Concurrent Degree majors only.

Provides computational skills and basic knowledge of numerical methods for advanced courses in engineering/scientific computation using Fortran, C, or Matlab. Prereq., APPM 2360 and instructor consent. Prerequisites: Restricted to College of Engineering graduate students or Aerospace Engineering Concurrent Degree majors only.