Statistical Methods in Engineering and the Physical Sciences


Stanford School of Engineering

  • Fee:
    Fee may apply



Statistics is the science that deals with gathering, classifying, analyzing, and interpreting data. Statistics helps us turn data into information to see the relationship between variables—or the "big picture." This course is an introduction to statistics with an emphasis on modern engineering applications. Students explore concepts of probability theory, discrete and continuous random variables, bivariate probability distributions, categorical data analysis, and model building.

Students who take this course for 5 units will have more mandatory homework problems than those who take it for 4 units.


  • Nina Miolane


One year of calculus

Topics include

  • Descriptive statistics
  • Interval estimation
  • Tests of hypotheses
  • Nonparametric methods
  • Linear regression
  • Analysis of variance
  • Elementary experimental design

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

012 Summer 2017-18 Online

Enrollment Closed

Dates:June 25 - August 16, 2018
Days: Mon, Tue, Wed, Thu, Fri
Times:10:30 am - 11:20 am
Units: 4.00-5.00
Instructors: Nina Miolane
Delivery Option:
For Credit $5,040.00-$6,300.00 ?


Enrollment Dates: April 8 to June 18, 2018