(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 2 Axioms of Probability (1)Purpose and Requirements 1.To comprehend the concepts of sample space and events 2.To comprehend the axioms of probability 3.Master some properties of probability in the form of propositions 4.Master some techniques in probability analysis (2) Contents Section 1 1.Main Content:Sample space,events,axioms of probability,propositions on probabilities,probability as a measure of belief 2.Basic Concepts and Knowledge Points:The concept of sample space and events,the axioms of probability,some basic propositions on probabilities 3.Problems and Application(Ability Requirements):Identifying the sample space and events in given problems.using some propositions to analyze some application problems (3)Thinking and Practice: To have a deeper comprehension of why we need to formulate the axioms of probability.Ideological and political education:introduction of great Chinese in probability:Kai Lai Chung,Baolu Xu (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 d iscussion Module 3 Conditional Probability and Independence (1) Purpose and Requirements 1.To comprehend the concept of conditional probability 2.To comprehend the Bayes'formula 3.To comprehend the concept of independence 4.To master the application of conditional probability and Bayes'formula (2) Contents Section I 3 3 (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 2 Axioms of Probability (1) Purpose and Requirements 1．To comprehend the concepts of sample space and events 2．To comprehend the axioms of probability 3．Master some properties of probability in the form of propositions 4．Master some techniques in probability analysis (2) Contents Section 1 1．Main Content: Sample space, events, axioms of probability, propositions on probabilities, probability as a measure of belief 2．Basic Concepts and Knowledge Points: The concept of sample space and events, the axioms of probability, some basic propositions on probabilities 3．Problems and Application (Ability Requirements): Identifying the sample space and events in given problems, using some propositions to analyze some application problems (3) Thinking and Practice: To have a deeper comprehension of why we need to formulate the axioms of probability. Ideological and political education: introduction of great Chinese in probability: Kai Lai Chung, Baolu Xu. (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 3 Conditional Probability and Independence (1) Purpose and Requirements 1．To comprehend the concept of conditional probability 2．To comprehend the Bayes’ formula 3．To comprehend the concept of independence 4．To master the application of conditional probability and Bayes’ formula (2) Contents Section 1