Stanford University Summer Session
Summer at Stanford | High School | Undergraduate & Graduate | Apply Online | Photos

Overview
2008 Courses
Student Resources
Credit & Evaluation
Tuition & Financial
Calendar
Special Programs
International Students
How to Apply
FAQ

Search


User ID  
Password
Forgot password







Engineering
650-723-3938

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.





· Introduction to Engineering Analysis
· Feedback Control Design
· Introduction to Probability and Statistics for Engineers

 
 ENGR 10
Introduction to Engineering Analysis
4 units
Time: see http://axess.stanford.edu

Integrated approach to the fundamental scientific principles that are the cornerstones of engineering analysis: conservation of mass, atomic species, charge, momentum, angular momentum, energy, production of entropy expressed in the form of balance equations on carefully defined systems, and incorporating simple physical models. Emphasis is on setting up analysis problems arising in engineering. Topics: simple analytical solutions, numerical solutions of linear algebraic equations, and laboratory experiences. Provides the foundation and tools for subsequent engineering courses.
Note: Fulfills GER:Disciplinary Breadth-EngrAppSci



 
 ENGR 105
Feedback Control Design
3 units
Time: see axess.stanford.edu

Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. Root-locus and frequency response design techniques. Examples from a variety of fields. Some use of computer aided design with MATLAB.
Prerequisite: EE 102, ME 161, or equivalent.
Note: Meets GER Disciplinary Breadth, Eng./App.Sciences



 
 ENGR 155C
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.
Note: Meets GER Disciplinary Breadth: Mathematics.






                           Contact  | Home  | Maps  & Directions  | Privacy Policy  | Help
Terms of Use Copyright