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Dersin Bilgileri

Dersin Adı
Türkçe Olasılık ve İstatistik
İngilizce Probability and Statistics
Dersin Kodu
MAT 271E Kredi Ders
(saat/hafta)
Uygulama
(saat/hafta)
Labratuvar
(saat/hafta)
Dönem -
- 3 - -
Dersin Dili İngilizce
Dersin Koordinatörü Ramazan Çağlar
Dersin Amaçları 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 Statistics
Dersin Tanımı Counting Techniques, Concept of Probability, Probability Function, Probability Density Function, Bernoulli, Binom, Poisson Disributions, Exponantial, Gamma, Normal Density Functions, Random Variables of Multiple Dimensions, The Concept of Estimator and Properties of Estimators, Maxsimum Likelihood Function, Test of Hypothesis, Ki-Square Test, t-test, F-test, Correlation Theory.
Dersin Çıktıları 1) He will have an idea about counting techniques
2) He will have an understanding of probability from the point of view of science
3) He will be introduced with the basic elements of probability and learn how to use it
4) He will be introduced with the basic elements of statistics
5) He will learn to look at a problem from the point of view statistics
6) When he is in need of statistics he will use statistics as a tool
Önkoşullar
Gereken Olanaklar
Diğer
Ders Kitabı 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
Diğer Referanslar 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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