CO1 - understand the mathematic basis of probability models and their application to engineering CO2 - manipulate probability models to solve engineering problems CO3 - recognize probabilistic experiments and develop relevant probability models for representing such experiment CO4 - use Matlab as a software tool to manipulate, process, analyze and plot quantities relating to engineering probability models Textbook(s): A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, 3rd ed., 2009 Reference Books/Materials: P. Z. Jr. Peebles, 4th ed., Mc-Graw Hill, Probability, Random Variables and Random Processes, 2001 P. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman ed., : John Wiley & Sons, 1997 Filtering,3rd G.R. Grimmet and D.R. Strizaker, 2nd ed., Science Probability and Random Processes, Publishers, 1992 A. Papouils, 3rd ed., Mc-Graw Hill, Probability, Random Variables and Stochastic Processes, 1991 H. and J. W. Woods, Probability, Random Processes and Estimation Theory for Engineers, 2nd ed., Prentice Hall, 1994
CO1 - understand the mathematic basis of probability models and their application to engineering CO2 - manipulate probability models to solve engineering problems CO3 - recognize probabilistic experiments and develop relevant probability models for representing such experiment CO4 - use Matlab as a software tool to manipulate, process, analyze and plot quantities relating to engineering probability models Textbook(s): A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, 3rd ed., 2009 Reference Books/Materials: P. Z. Jr. Peebles, Probability, Random Variables and Random Processes, 4th ed., Mc-Graw Hill, 2001 P. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering,3rd ed., : John Wiley & Sons, 1997 G.R. Grimmet and D.R. Strizaker, Probability and Random Processes, 2nd ed., Science Publishers, 1992 A. Papouils, Probability, Random Variables and Stochastic Processes, 3rd ed., Mc-Graw Hill, 1991 H. and J. W. Woods, Probability, Random Processes and Estimation Theory for Engineers, 2nd ed., Prentice Hall, 1994
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