Instructor: Vadim Khayms (vadim@stanford.edu)
Office: Durand, 105B
Office hours: Tue. 6-8pm
Phone: (408) 203-0822
Teaching
Assistants:
1. Ying Wang (yw1984@stanford.edu)
Office Hours: Wednesdays 5-9 PM
2. Stefanus Jasin (stf48198@stanford.edu)
Office Hours: Monday 5-7 PM
3. Cris Cecka (ccecka@stanford.edu)
Office Hours: Wednesdays 5-9 PM
Office: MERL Computer Lab
Regular Class: 4:15-6:05 pm, room 200-002
Objective: The purpose of this course is to introduce advanced mathematical concepts and methods that find extensive use in many fields of modern engineering analysis. The goal is to familiarize students with powerful analytical and numerical tools in the areas of probability and statistics that can be used to solve real world engineering problems. Lectures will be supplemented by several programming exercises and will include a large number of practical examples. Aside from illustrating the use of these methods, the aim is to develop a working knowledge of the tools and gain exposure to a broad range of engineering disciplines and applications.
Textbook: S. M. Ross, “Introduction to Probability and Statistics for Engineers and Scientists”, 3rd edition, Academic Press
W. Hines, et at “Probability and Statistics in Engineering”, 4th edition, Wiley
Homework: A set of homework problems will be assigned each Thursday during lecture. The assignments are to be turned in the following Thursday. Although collaboration is permitted, independent work is highly encouraged. No credit will be awarded for late homework.
Exams: Midterm, Final
Grading: Homework 30%, Midterm 30%, Final 40%, MATLAB Workbook (Optional) 5%
WWW: Up-to-date course material including course schedule, assignments, and handouts, will be available on Coursework at http://coursework.stanford.edu
Resources: Some of the homework assignments will require the use of MATLAB. This software package is available on many workstations throughout campus (Terman Engineering Library, Terman Cluster in room 104, Sweet Hall, MERL at 418 Panama St. room 124 and others). If you plan to use your own PC, you can purchase and install a student version of MATLAB, which is available from the bookstore.