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課程簡介 Course Introduction
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開課年度學期 Year / Term
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115 學年度 第 1 學期
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開課班級 Department
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電機工程學系 電機二
Department of Electrical Engineering
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授課方式 Instructional Method
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課堂教學 、 中文
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課程電腦代號 Course Reference Number
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182030
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課程名稱(中文) Course Title(Chinese)
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機率與統計
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課程名稱(英文) Course Title(English)
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Probability and Statistics
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學分數/時數 Credit Hours
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3 /
3
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必(選)修 Required / Elective Course
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選修 Elective
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授課老師 Instructor
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王守均
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助教 Teaching Assistant
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上課時間 Meeting Time
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星期三，節次3
Wed, Period 3、4、5
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上課教室 Classroom
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ZA304
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Office Hours
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| 獲獎及補助情形 Awards and Grants |
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| 聯合國永續發展目標 (SDGs跨域類別) Sustainable Development Goals, SDGs |
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SDGs 09.
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工業化、創新及基礎建設：建立具有韌性的基礎建設，促進包容且永續的工業，並加速創新
Industry, Innovation and Infrastructure：Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
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| 屬於大學社會責任(USR)性質 Courses related to University Social Responsibility（USR) |
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是
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| 是否運用AI輔助教學 Using Artificial Intelligence (AI) to assist teaching |
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是
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課程目標 Learning Objectives
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We will conver the required and useful contents in Probablity and Statistics that you need to know when applying your studies to AI fields.
Most engineering students, who are used to a deterministic outlook of Physics and Engineering problems, find the theory of probability unreliable, vague and difficult. This is due to inadequate understanding of the basic concepts of
probability theory and the wrong impression that the subject is an advanced branch of Mathematics.
The course is taught in such a manner that beginners may develop an interest in the subject and may find it useful to pursue their studies. Basic concepts and proofs of theorems are explained in as lucid a manner as possible.
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先修 ( 前置 ) 課程 Prerequisite
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basic calculus and algebra.
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| 彈性教學規劃 Flexible Teaching/Planning Schedules |
| ＊本課程實施16+2週彈性教學方案，其中第17、18週之彈性規劃如下： |
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展演實作
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自主學習
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課程大綱 Course Syllabus
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| 週次 Week |
課程單元大綱 Unit |
教學方式 Instructional Method/Style/Teaching Style |
參考資料或相關作業 References or Related Materials |
評量方式 Grading |
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1
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basic probability
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lecture
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textbook
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quiz
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2
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Markov Chain
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lecture
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textbook
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quiz
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3
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Laws of Large Numbers
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lecture
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textbook
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quiz
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4
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Gaussian Random Variable & CLT
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lecture
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textbook
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quiz
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5
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Characteristic Functions
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lecture
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textbook
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quiz
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6
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Queueing Theory
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lecture
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textbook
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quiz
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7
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Social Networks
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lecture
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textbook
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quiz
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8
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MAP & MLE
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lecture
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textbook
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quiz
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9
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Mid Term Exam
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10
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Neyman-Pearson Theorem & ANOVA
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lecture
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textbook
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quiz
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11
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Linear Regression
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lecture
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textbook
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quiz
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12
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Kalman Filter
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lecture
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textbook
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quiz
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13
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Hidden Markov Chain
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lecture
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textbook
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quiz
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14
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Deep Neural Network
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lecture
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textbook
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quiz
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15
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Markov Decision Problem
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lecture
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textbook
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quiz
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16
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LQG Control
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lecture
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textbook
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quiz
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17
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Multi-Armed Bandit
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lecture
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textbook
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quiz
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18
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Final Exam
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單一課程對應校能力指標程度 The Degree to Which Single Course Corresponds to School Competence
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| 編號 No. |
校核心能力 School Core Competencies |
符合程度 Degree of conformity |
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1
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公民力 (Citizen)
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3
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2
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自學力 (Self-learning)
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5
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3
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資訊力 (Information)
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3
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4
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創造力 (Creativity)
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3
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5
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溝通力 (Communication)
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3
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6
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就業力(Employability)
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5
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單一課程對應系能力指標程度 The Degree to Which Single Course Corresponds to Department Competence
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| 編號 No. |
類別 Category |
系核心能力 Department Core Competencies |
符合程度 Degree of conformity |
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01
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系所
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運用數理、邏輯及基本電機之能力
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5
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02
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系所
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熟悉電機軟硬體專業技術之能力
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5
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03
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系所
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獨立思考、主動求知與研究創新之能力
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5
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04
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系所
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培養實作與分析實驗成果之能力
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5
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05
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系所
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理解社會責任與學術倫理之能力
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3
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06
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系所
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有效溝通表達與團隊合作之能力
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3
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07
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系所
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中英文語文及寫作之能力
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5
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08
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系所
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資訊蒐集、分析及彙整之能力
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0
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單一課程對應院能力指標程度 The Degree to Which Single Course Corresponds to College Competence
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| 編號 No. |
院核心能力 College Core Competencies |
符合程度 Degree of conformity |
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1
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語文能力
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3
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2
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溝通與合作能力
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3
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3
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創新與實踐能力
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3
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4
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專業知能
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5
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教科書或參考用書 Textbooks or Reference Books
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館藏書名 Library Books
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Probability in electrical engineering and computer science
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備註 Remarks
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You may download the textbook free from:
https://library.oapen.org/bitstream/id/18c4a920-d0c6-4758-b959-f38da0793066/978-3-030-49995-2.pdf
Library info:
https://aleph.nutn.edu.tw/F/12Q1UXIGDYHENPJ25JUUP74DALJUAR7AG5EMGX5ED9FHTMQAIG-01649?func=full-set-set&set_number=067675&set_entry=000001&format=999
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※請尊重智慧財產權，不得非法影印教科書※
※ Please respect intellectual property rights and do not illegally photocopy textbooks. ※
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教學方法 Teaching Method
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教學方法 Teaching Method
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百分比 Percentage
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講述
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70 %
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問題導向學習
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30 %
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| 總和 Total |
100 % |
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成績評量方式 Grading
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| 評量方式 Grading |
百分比 Percentage |
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隨堂考
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70 %
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期中考
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15 %
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期末考
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15 %
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| 總和 Total |
100 % |
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成績評量方式補充說明
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10～16次隨堂考，每次滿分10分，取最佳七次計算。
隨堂考可查書，上網，發問，討論，請勿抄襲
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課程大綱補充資料 Supplementary Material of Course Syllabus
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