random variable,Poisson random variable,cumulative distribution 3.Problems and Application(Ability Requirements):Use the concept of random variable,expectation value and variance to model some real-world problems (3)Thinking and Practice Using Bemoulli,binomial,Poisson and other probability distribution to model and analyze the problems appear in applications. (4) Teaching Methods and Approaches The main methods and approaches used in this Module is in-class teaching. multimed ia teaching,network-assisted teaching,and class discussion. Module 5 Continuous Random variables (1)Purpose and Requirements 1.To comprehend the concept of continuous probability distribution and continuous random variables 2.To comprehend uniform probability distribution 3.To comprehend normal probability distribution 4.To comprehend exponential probability distribution 5.To master the computation of functions of random variables (2)Contents 1.Main Content:Expectation of continuous random variables,variance of continuous random variables,uniform random variable,normal random variable.exponential random variable.the distribution of a function of a random variable 2.Basic Concepts and Knowledge Points:continuous random variable, uniform probability distribution,normal probability distribution, exponential probability distribution,the probability distribution of a function 3.Problems and Application(Ability Requirements):Use continuous random variable and the concept of the probability distribution of a function to model and solve some problems. (3)Thinking and Practice Using uniform,normal,exponential and other probability distribution to model and analyze the problems appear in applications. 5 5 random variable, Poisson random variable, cumulative distribution 3．Problems and Application (Ability Requirements): Use the concept of random variable, expectation value and variance to model some real-world problems. (3) Thinking and Practice Using Bernoulli, binomial, Poisson and other probability distribution to model and analyze the problems appear in applications. (4) Teaching Methods and Approaches The main methods and approaches used in this Module is in-class teaching, multimedia teaching, network-assisted teaching, and class discussion. Module 5 Continuous Random variables (1) Purpose and Requirements 1．To comprehend the concept of continuous probability distribution and continuous random variables 2．To comprehend uniform probability distribution 3．To comprehend normal probability distribution 4．To comprehend exponential probability distribution 5．To master the computation of functions of random variables (2) Contents Section 1 1．Main Content: Expectation of continuous random variables, variance of continuous random variables, uniform random variable, normal random variable, exponential random variable, the distribution of a function of a random variable 2．Basic Concepts and Knowledge Points: continuous random variable, uniform probability distribution, normal probability distribution, exponential probability distribution, the probability distribution of a function 3．Problems and Application (Ability Requirements): Use continuous random variable and the concept of the probability distribution of a function to model and solve some problems. (3) Thinking and Practice Using uniform, normal, exponential and other probability distribution to model and analyze the problems appear in applications