課程資訊
課程名稱
 非確定型模式與方法
NON-DETERMINISTIC MODELS AND METHODS 
開課學期
 98-1 
授課對象
 工學院  工業工程學研究所  
授課教師
 吳政鴻 
課號
 IE5035 
課程識別碼
 546 U6050 
班次
  
學分
 3 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期二6,7,8(13:20~16:20) 
上課地點
  
備註
 教室為國青233.
總人數上限：30人
外系人數限制：15人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/981NDM 
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

This is an introductory course for students to earn fundamental understanding of stochastic processes and probability methods in engineering.
 

課程目標
 Topics:
1. Random Variables
2. Conditional Probability and Conditional Expectation
3. The Exponential Distribution and Poisson Processes
4. Renewal Processes
5. Discrete Time Markov Chains
6. Continuous Time Markov Chains
7. An Introduction to Queueing Theory and the Control of Queueing Systems  
課程要求
 Grading: Grading: Grading: Course grades are determined from performance on homework assignments, quizzes, projects, midterm, and final exam. The exams are open notes, open textbook. However, you are only allowed to use your notes and textbook; none from previous classes and non borrowed or copied from other students. Grading is based on the final exam (35%), midterm exam (35%), Reading, presentation, project and short in-class quizzes (30%). Course Policies: • Homeworks: Homework assignments will be posted on the web a week before the due date. All homework assignment due in the beginning of class. No late homework will be accepted. • Quizzes: The quizzes are designed to develop your ability to solve problems, since there is a significant difference between understanding the material and applying it to solving problems. You are allowed to use notes (e.g., lecture notes and homework solutions) during the quiz. However, take into account that the time of the quiz is too short for looking up unfamiliar information in the reference materials! Late arrivals will not be given additional time on the quiz. • Midterm and Final Exam: time and place TBA. The exams are open notes, open textbook. However, you are only allowed to use your notes and textbook; none from previous classes and non borrowed or copied from other students. You will be allowed to use one sheet of your own notes only during the exam. • Notify me ASAP if you are unable to take an exam or meet a deadline for the above reasons. I must hear from you (either in person, or by email, or by voice mail) prior to the exam or the due date. Any excuses will need to be appropriately documented. In each instance, we will discuss how you will make up for the missed work. • Individual work policies and Honor Code: You are allowed (indeed, encouraged) to consult with other students enrolled in the class during the conceptualization of a problem, or ask for technical support is accessing the necessary software. However, all submitted homework assignments (including computer codes and outputs, if relevant) should represent your own efforts. In particular, you are not allowed to obtain, look at, use, or in anyway attempt to derive advantage from the existence of solutions for this or other. • Exam Re-grading Policy: If you want to have the exam regraded, you must submit the exam together with a written explanation. This must be done within three days from the date the exam was returned. Be aware that a regrade request will result in the regrade of all problems so that you may lose or gain points.  
預期每週課後學習時數
  
Office Hours
 每週二 10:00~12:00 
指定閱讀
  
參考書目
  
評量方式
(僅供參考)
  
No.
項目
百分比
說明
1. 
 Reading, presentation, homework, and quizzes  
30% 
  
2. 
 Midterm Exam.  
35% 
  
3. 
 Final Exam.  
35% 
  
 
課程進度
週次
日期
單元主題
第1週
 9/15  Introdution to Probability Theory 
第2週
 9/22  Random Variables 
第4週
 10/06  Random Variables  
第6週
 10/20  Conditional Probability and Conditional Expectation 
第7週
 10/27  The Exponential Distribution and Poisson Processes 
第10週
 11/17  Markov Chain (Discrete Time) 
第15週
 12/22  Renewal Process, Renewal Theory and It's Application