Course Information

Course Name	Turkish	Olasılık ve İstatistik
	English	Probability and Statistics
Course Code	EEF 271E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	-	3	-	-
Course Language		English
Course Coordinator		Ramazan Çağlar
Course Objectives		1) To introduce the counting techniques 2) To introduce the concept of probability 3) To introduce the basic elements of probability 4) To make aware of the students about the use of probability in St
Course Description		Counting Techniques, Concept of Probability, Probability Function, Probability Density Function, Bernoulli, Binom, Poisson Distributions, Exponential, Gamma, Normal Density Functions, Random Variables of Multiple Dimensions, The Concept of Estimator and Properties of Estimators, Maximum Likelihood Function, Test of Hypothesis, Ki-Square Test, t-test, F-test, Correlation Theory.
Course Outcomes		1) They will have an idea about counting techniques 2) They will have an understanding of probability from the point of view of science 3) They will be introduced to the basic elements of probability and learn how to use it 4) They will be introduced to the basic elements of statistics 5) They will learn to look at a problem from the point of view of statistics 6) When they are in need of statistics, they will use statistics as a tool
Pre-requisite(s)
Required Facilities
Other
Textbook		Applied Statistics and Probability for Engineers, Douglas C. Montgomery, George C. Runger, John Wiley & Sons, Inc. Third Edition, 2003, New York, NY. USA, ISBN 0-471-20454-4
Other References		1- Introduction to Probability and Statistics for Engineers and Scientists. S.M. Ross, John Willey and Sons Inc., 1987 2- A modern Introduction to Probability and Statistics, Understanding Why and How. F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, Springer Texts in Statistics, Springer-Verlag London Limited, 2005, ISBN 1-85233-896-2 3- Fundamentals of Probability and Statistics for Engineers, T.T. Soong, John Wiley & Sons, June 2005, ISBN-10: 0-470-8614-7 (Paper) 4- Probability, Random Variables and Stochastic Processes, A. Papoulis, McGraw Hill International Edition, Electrical Engineering Series, 1987 5- Statistics, third Edition, Schaum’s Outlines Murray R. Spiegel, Larry J. Stephens, Mc Graw Hill

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