advertisement

Semester Course name: EE 207 – Probability and Random Variables Department: Electrical and Electronics Engineering 3 Methods of Education Lecture Recitation/ (Etud) Lab Project/Field Study Homework Credit (ECTS) Other Total 5 3x 3x Language Compulsory/Elective Prerequisites English Compulsory MATH 101 or MATH 102 Course Contents The topics include sets, probabilities, conditional probability, Bayes’ formula, independent events, discrete random variables, continuous random variables, expectation, variance, covariance, jointly distributed random variables, central limit theorem. Course Objectives To gain the ability to apply the concepts of probability and random variables to engineering problems. Learning Outcomes and Competences After taking this course, students will be able to understand: 1. Probability axioms, computing set probabilities 2. Random variables, probability mass functions and probability density functions 3. Cumulative distribution functions, expectation, variance. 3. Joint random variables, covariance. 4. Central Limit Theorem Textbook and /or References Assessment Criteria Instructors Textbook: Introduction to Probability, D. Bertsekas and J. N. Tsitsiklis, 2nd Edition, Athena Scientific. Additional Reference: Probability and Stochastic Processes, Yates and Goodman, 2nd edition, John Wiley. Midterm Exams Quizzes Homeworks Projects Term Paper Laboratory work Attendance Final Exam Assist. Prof. Dr. Serdar Özyurt If any, mark as (X) Percentage (%) X 35 X 15 X 50