Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2021 283416 Probability 1 3.0 3 ▲ Liao Yuan-Fu 4EN2A 56 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2021	283416	Probability	1	3.0	3	▲	Liao Yuan-Fu	4EN2A	56	0

Course Plan：

Instructor Liao Yuan-Fu

Email yfliao@ntut.edu.tw

Last Updated 2020-12-25 18:51:36

Course Objective 機率是用來描述與處理具有不確定性（或是因幕後影響變數太多，以致無法以確定的公式表示）的事物，例如你這期能不能中樂透彩，或是明天會不會下雨等等。並嘗試推論出事物的最可能的結果，或是對我們最有利的決策方式。本課程將介紹機率的概念與系統，並進行實驗探討如何將此工具實際應用到日常生活之中。課程內容包括： 1. Course Overview & Introduction 2. Sample Space and Probability 3. Discrete Random Variables 4. Continuous Random Variables 5. Further Topics on Random Variables

Course Schedule 課程共有四章，包括： Ch0: Course Overview & Introduction Ch1: Sample Space and Probability Ch2: Discrete Random Variables Ch3: Continuous Random Variables Ch4: Further Topics on Random Variables 以自制講義上課，講義共13個單元，每一章約上4~5周時間，但第四章只選擇部份內容。另將依課程進度，進行相關實驗，體驗課本理論，包括： 1. 必然性與不確定性 - 猜銅板必勝手冊 2. 統計模型建立與應用 - 猜拳完全必勝策略 3. 大數理論，中央極限定理 - 賭神完全必勝手冊

Evaluation and grading policy 1. 3～4次月考（包含期中考與期末考）70% 2. 3～4次實驗與報告 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
課本： D. P. Bertsekas, J. N. Tsitsiklis, “Introduction to Probability,” Athena Scientific, 1nd Edition (全華代理) 參考書： 1. Roy D. Yates, David J. Goodman, “Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers,” 2nd Edition, Wiley, 2004 2. Alberto Leon-Garcia, “Probability and Random Processes for Electrical Engineering”, 2nd Edition, Addison Wesley, Reading, Mass. 1994.，開發圖書有限公司代理

The access to curricular consultation

The course corresponds to the SDGs

Does the course incorporate AI

Note
　

Instructor	Liao Yuan-Fu
Email	yfliao@ntut.edu.tw
Last Updated	2020-12-25 18:51:36
Course Objective	機率是用來描述與處理具有不確定性（或是因幕後影響變數太多，以致無法以確定的公式表示）的事物，例如你這期能不能中樂透彩，或是明天會不會下雨等等。並嘗試推論出事物的最可能的結果，或是對我們最有利的決策方式。本課程將介紹機率的概念與系統，並進行實驗探討如何將此工具實際應用到日常生活之中。課程內容包括： 1. Course Overview & Introduction 2. Sample Space and Probability 3. Discrete Random Variables 4. Continuous Random Variables 5. Further Topics on Random Variables
Course Schedule	課程共有四章，包括： Ch0: Course Overview & Introduction Ch1: Sample Space and Probability Ch2: Discrete Random Variables Ch3: Continuous Random Variables Ch4: Further Topics on Random Variables 以自制講義上課，講義共13個單元，每一章約上4~5周時間，但第四章只選擇部份內容。另將依課程進度，進行相關實驗，體驗課本理論，包括： 1. 必然性與不確定性 - 猜銅板必勝手冊 2. 統計模型建立與應用 - 猜拳完全必勝策略 3. 大數理論，中央極限定理 - 賭神完全必勝手冊
Evaluation and grading policy	1. 3～4次月考（包含期中考與期末考）70% 2. 3～4次實驗與報告 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 課本： D. P. Bertsekas, J. N. Tsitsiklis, “Introduction to Probability,” Athena Scientific, 1nd Edition (全華代理) 參考書： 1. Roy D. Yates, David J. Goodman, “Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers,” 2nd Edition, Wiley, 2004 2. Alberto Leon-Garcia, “Probability and Random Processes for Electrical Engineering”, 2nd Edition, Addison Wesley, Reading, Mass. 1994.，開發圖書有限公司代理
The access to curricular consultation
The course corresponds to the SDGs
Does the course incorporate AI
Note