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IE 360 — Probability and Statistics for Engineers Spring 2013 Syllabus - Description: Engineering applications using probability, random variables, distribution functions, confidence intervals, estimation, hypothesis testing, and regression. Prerequisites: ENGR 102 Logistics: Class meets on Tuesdays and Thursdays, 4:00 Hall 100 Instructor: Dr. M. R. Wilhelm, P.E., Dean Emeritus and Professor of Industrial Engineering, JBS 200, 852-5637, [email protected] Web Site: See the Blackboard website for this course Text: Montgomery and Runger, Applied Statistics and Probability for Engineers, 5th Edition, Wiley, New York, 2011. Objectives: 1. Understand basic probability theory and statistics. 2. Apply probabilistic models to problems in an engineering environment. Week Jan. 8, 10 Jan. 12, 14 Jan. 19, 21 Jan. 22, 24 Jan. 29, 31 Feb. 5, 7 Feb. 12, 14 Feb. 19, 21 Feb. 26, 28 Mar. 5, 7 Mar. 12, 14 Mar. 19, 21 Mar. 26, 28 Apr. 2, 4 Apr. 9,11 Apr. 16, 18 Apr. 27 (Saturday) — 5:15 pm, J. B. Speed Topics Introduction, elementary probability theory Probability Discrete random variables and probability distributions Discrete random variables and probability distributions Continuous random variables and probability distributions Joint probability distributions Mid-Term Exam Descriptive statistics Sampling distributions and point estimation of parameters Statistical intervals for a single sample No classes Spring Break Tests of hypotheses for a single sample Tests of hypotheses for a single sample Statistical inference for two samples Simple linear regression Last day of class 4/18 Review for Final Exam; Reading Day is 4/23 Final Exam (4:45 pm 7:15 pm, JBS 100) — - — Class Policies The mid-term and final exams will be open-book, open-notes, but closed-computers. All homework is due at the start of class on the announced date at assignment. Late assignments will not be accepted, no exceptions. Working together to solve homework problems is allowed but the work you submit must be your own. Copying another student’s homework is unethical will be considered cheating. It will be dealt with using the university’s established policy on academic dishonesty. GRADING WEIGHTED COURSE GRADES Midterm Exam 40% - Final Exam 40% 90-100 A 80-89 B - Homework/Quizzes 20% - 70-79 C 60-69 D <60 F Office Hours: Please feel free to contact me via e-mail or phone; however, I will attempt to hold office hours for this course from 2:00 to 4:00 pm on Tuesdays and Thursdays (i.e., two hours before each class meeting).
