Chapter 1 - GENG200 Probability and Statistics for...

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GENG200 Probability and Statistics for Engineers Spring 2010 1
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Course Information Instructor: Dr. Ridha Hamila, E-mail: hamila@qu.edu.qa Office Hours: Sunday, Tuesday, and Thursday from 11:00 a.m. to 12:00 noon, Or by appointment TA: Mme Mini Thomas, E-mail: mthomas@qu.edu.qa, phone: 4951096 Lectures: Sunday, Tuesday, and Thursday 08:00 a.m. – 08:50 a.m. Course Webpage: http://mybb.qu.edu.qa 2
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3 Instructor Ridha Hamila M.Sc., Licentiate Tech, and Dr. Tech. Department of Information Technology, Tampere University of Technology, Finland. Docent (Adjunct Professor) Institute of Communications Engineering, Tampere University of Technology, Finland. Industrial Experience: Nokia Research Center Nokia Networks Etisalat University College, Emirates Telecommunication Corporation, United Arab Emirates.
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Textbook : Applied Statistics and Probability for Engineers, Douglas C. Montgomery, George C. Runger, 4 th edition , publisher John ISBN: 978-0-471-74589-1 Reference: Probability and Statistics for Engineering and the sciences, Jay L. Devore, 6 th edition, publisher John Wiley & Sons, Inc. 2007 Textbooks 4
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Course Objectives 1. Provide students with statistical methods, both descriptive and analytical, for dealing with the variability in observed data. 2. Provide students with fundamental concepts of probability and random variables. 3. Introducing concepts of Statistical Inference and Hypothesis testing and confidence intervals of parameters. 4. Emphasize practical engineering-based applications and the use of real data examples. 5
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Covered Topics Topics Weeks Introduction, Data Summary and Presentation 1 Probability: Addition rule, conditional probability, multiplication rule and Bayes Theorem. 1 Discrete random variables. Probability mass function. Mean and variance of discrete random variables. 1 Probability Distribution functions: Uniform, Binomial, Geometric and Negative Binomial, Hyper-geometric and Poisson Distribution. 2 Exam 1 Continuous random variables. Probability Density functions. 1 Normal Distribution. Approximation to Binomial and Poisson Distribution. Exponential distribution. Other continuous distributions. 1 Joint probability function. Multiple discrete and continuous random variables. 1 Covariance and correlation. Bivariate Normal Distribution. Linear combination of random variables. Functions of random variables. 2 Parameter estimation. Properties of estimators. Method of Moments. Method of Maximum likelihood. 1 Exam 2 Interval estimation. Inference on the mean of a population: variance known or unknown. Inference on the variance of a normal population 1 Hypothesis testing about the mean and Proportion: Small and Large Sample 1 Hypothesis testing: Two Populations 1 6
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Evaluation Scheme ± 10% ± Quizzes: 5% ± Exam I: 20% ± Exam II: 20% ± Term Project/Paper: 10% ± Final Exam: 35% 7
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This note was uploaded on 10/12/2011 for the course STATISTICS 101 taught by Professor Nazim during the Spring '10 term at Qatar University.

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Chapter 1 - GENG200 Probability and Statistics for...

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