Course Information Semester Course Code Course Title T+P+L Credit ECTS 4 05140408 Probability and Statistics 3+0+0 3 5 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Electrical and Electronics Engineering Mode of Delivery : Face to Face Type : Compulsory Objectives : To give some basic terms and concepts in Probability and Statistics and to teach the statistical methods in engineering and how and why to use probability theory. Content : Introduction to probability and statistics, Basic probability, Independent events, Some probability models, Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : Associate Prof.Dr. Hulusi AÇIKGÖZ Name of Lecturers : Asist Prof. İBRAHİM ONARAN Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : 1 Jean Jacod and Phillip Protter “Probability Essentials”, Springer, 2nd Edition, (2003) Course Category Engineering 50% Engineering Design 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Assignment 1 10% Final examination 1 50% Total 3 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 3 42 Hours for off-the-c.r.stud 14 3 42 Assignments 3 7 21 Mid-terms 1 18 18 Final examination 1 12 12 Total Work Load ECTS: 5 135 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Know the applications of mathematics in engineering 2 Know the numerical calculations and analysis 3 Know the mathematical background in order to interpret the signals and systems Weekly Detailed Course Contents Week Topics 1 Introduction to probability and statistics 2 Basic probability 3 Independent events 4 Some probability models 5 Random variables 6 Random variables 7 Distributions. Discrete and continuous distributions 8 Distributions. Discrete and continuous distributions 9 Change of independent random variables 10 Conditional distributions. 11 Mathematical expectations: mean, variance, moment generating functions. 12 Characteristic functions. 13 Conditional expectation 14 Limited range Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 3 C1 5 C2 3 bbb
