This course introduces students to the concept of probability and statistics for engineering application. Topics covered in this course include probability functions axioms and rules, counting techniques, conditional probability, independence, and mutually exclusive events. Discrete Random Variable: Expectation and variance, Binomial distribution, Hypergeometric distribution, Poisson distribution, the relationship between Poisson and Binomial. Continuous Random Variable: Percentiles and cumulative distribution function, expectation and variance, uniform distribution, normal distribution, exponential distribution, and other distributions. Joint Distributions. Covariance and Correlation. Sampling Distributions: Distributions of statistics, central limit theorem, samples from normal distribution (t-distribution, X2 distribution, and F-distributions). Estimation: Common point estimators, interval estimators. Hypothesis Testing. Introduction to Regression Analysis. Engineering applications in quality control, process control, communication systems and speech recognition.