課程大綱

課程資訊
學年期 Semester	1131	課程代碼 Course Code	IM7103701
課程名稱 Course Title	應用機率模型 Applied Probability Models
學分數 Credits	3	選必修 Required/Elective	選修 /半學年
上課時間教室 Time/Location	F6(MA-419) F7(MA-419) F8(MA-419)
先修課程 Prerequisite(s)
授課教師 Lecturer	水谷英二 Eiji Mizutani
專業核心能力 Core Professional Competencies

以下課程內容資料由授課教師提供
課程相關網址 Course Website	http://
課程宗旨 Objective of The Course	1.Introduction to probability theory 2.Random variables 3.Conditional probability 4.Markov chains 5.The exponential distribution and Poisson process 6.Continuous-time Markov charms 7.Queueing theory 8.Reliability theory This course aims to provide students a board fundamental knowledge of probability theory and probability models. For more subsequent courses such as stochastic processes, reliability analysis, and decision process can be built on these basic probability models.
課程大綱 Outline of Lectures	1.Introduction to probability theory 2.Random variables 3.Conditional probability 4.Markov chains 5.The exponential distribution and Poisson process 6.Continuous-time Markov charms 7.Queueing theory 8.Reliability theory This course aims to provide students a board fundamental knowledge of probability theory and probability models. For more subsequent courses such as stochastic processes, reliability analysis, and decision process can be built on these basic probability models.
教科書 Textbook	Sheldon Ross (Academic Press, 11th edition) Introduction to Probability Models
參考書目 References
修課學生須知 Notice of course enrollment
評量方式 Grading	five in-class quizzes and the final exam
備註說明 Note