|
|
|
|
| Computational & Mathematical Engineering |
|
Session dates and times for courses are available in Axess under the Guest Menu. Course day, time, and units are subject to change. Courses are eight weeks long unless otherwise noted in the course description or details.
|
| · |
Ordinary Differential Equations for Engineers |
| · |
Introduction to Probability and Statistics for Engineers |
CME 102
Ordinary Differential Equations for Engineers
5
units
Time: see http://axess.stanford.edu
Analytical and numerical methods for solving ordinary differential equations arising in engineering applications: Solution of initial and boundary value problems, series solutions, Laplace transforms, and non-linear equations; numerical methods for solving ordinary differential equations, accuracy of numerical methods, linear stability theory, finite differences. Introduction to MATLAB programming as a basic tool kit for computations. Problems from various engineering fields.
Prerequisite: CME 100/ENGR 154 or MATH 51.
|
|
CME 106
Introduction to Probability and Statistics for Engineers
3-4
units
Time: see http://axess.stanford.edu
Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields.
Prerequisite: CME 100/ENGR 154 or MATH 51.
|
|
|
|
|
|
