K0208050 Probability and Statistics

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Engineering

Lecture Code K0208050 Subject Classification Specialized Education

Subject Name 確率・統計

Subject Name
（Katakana）カクリツ・トウケイ

Subject Name in
English Probability and Statistics

Instructor CHUNG YONG MOO

Instructor
(Katakana) チョン　ヨンム

Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  1Term

Days, Periods, and Classrooms (1T) Mon9-10,Tues5-6：ENG 107

Lesson Style Lecture Lesson Style
(More Details) 　

Mainly face-to-face classes

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 01 : Mathematics/Statistics

Eligible Students Second grade, Cluster II and Third grade, Cluster III

Keywords random variable, probability distribution, normal population, statistical estimation, testing of statistical hypothesis

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) 下記の「到達度評価の評価項目」については所属するプログラムの項目を参照すること
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Program of Mechanical Systems Engineering
（Abilities and Skills）
・Acquring basis of mechanical system engineering steadily and developing the applied skill.

Program of Transportation Systems
（Knowledge and Understanding）
・Mathematical and mechanical subjects: To understand basic knowledge of mathematical dynamical system, which is essential knowledge for engineers and researchers.
（Abilities and Skills）
・Mathematical and mechanical subjects: Ability to create questions and analyze by utilizing basic knowledge of mathematical dynamical systems.

Program of Material Processing
（Abilities and Skills）
・Acquiring basis of mechanical system, material creation and processing engineering steadily, and being able to apply

Program of Energy Transform Engineering
（Abilities and Skills）
・Acquring basis of mechanical system engineering steadily and developing the applied skill.

Program of Electrical,Systems and Information Engineering
（Abilities and Skills）
・Mathematical methods required for professionals in electrical,  systems, and information engineering.

Program of Electronic Devices and Systems
（Abilities and Skills）
・Mathematical methods required for professionals in electronics engineering.

Program of Applied Chemistry
（Knowledge and Understanding）
・Wide range of basic knowledge on liberal arts and specialized education, and professional basic knowledge on chemistry.

Program of Chemical Engineering
（Abilities and Skills）
・Definite learning of basic chemistry and chemical engineering and cultivation of application ability
engineering basis.

Program of Biotechnology
（Knowledge and Understanding）
・Acquisition of basic and advanced knowledge relating to biotechnology and life science. (Target/Lecture class)

Program of Civil and Environmental Engineering
（Abilities and Skills）
・Ability to analyze  problems

Program of Architecture and Building Engineering
（Knowledge and Understanding）
・Understanding on learning basic engineering knowledge. (Being able to explain basic contents of mathematics, physics and information technology.  Being able to apply the basic contents to architecture and building engineering)

Class Objectives
/Class Outline The probability and statistics play vital roles in several scientific and research disciplines as well as in industry. Thus, the lecture series are to understand the fundumentals of the probability and statistics, and to learn several mathematical techniques in statistics.

Class Schedule Lesson1 Events and Probability
Lesson2 Conditioanl probability, Independence of events
Lesson3 Random variables, Probability distributions (1)
Lesson4 Random variables, Probability distributions (2)
Lesson5 Expectation and Variance (1)
Lesson6 Expectation and Variance (2)
Lesson7 Independency of  random variables
Lesson8 Important probability distributions (1)
Lesson9 Important probability distributions (2)
Lesson10 Law of large numbers, Central limit theorem
Lesson11 Exercises
Lesson12 Statistical inference
Lesson13 Statistical estimation of normal populations
Lesson14 Testing of statistical hypothesis of normal populations (1)
Lesson15 Testing of statistical hypothesis of normal populations (2)

Final examination

Text/Reference
Books,etc. Text：Yoshihiko Maesono "Probability and Statistics" 3rd edition  Saiensu'sha Co., Ltd. Publishers
Lecture Note:  "Probability and statistics note"

PC or AV used in
Class,etc. 　

(More Details) Text

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Lesson 1 　Review the content of the lecture using the text book and notebook.
Lessons 2 - 15  Read the text book before the lecture and review the content of the lecture using the text book and notebook.

Requirements

Grading Method Final examination (70%) and Reports (30%).

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2024Year	School/Graduate School	School of Engineering
Lecture Code	K0208050	Subject Classification	Specialized Education
Subject Name	確率・統計
Subject Name （Katakana）	カクリツ・トウケイ
Subject Name in English	Probability and Statistics
Instructor	CHUNG YONG MOO
Instructor (Katakana)	チョン　ヨンム
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Mon9-10,Tues5-6：ENG 107
Lesson Style	Lecture	Lesson Style (More Details)
Mainly face-to-face classes
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	01 : Mathematics/Statistics
Eligible Students	Second grade, Cluster II and Third grade, Cluster III
Keywords	random variable, probability distribution, normal population, statistical estimation, testing of statistical hypothesis
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)	下記の「到達度評価の評価項目」については所属するプログラムの項目を参照すること
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Program of Mechanical Systems Engineering （Abilities and Skills）・Acquring basis of mechanical system engineering steadily and developing the applied skill. Program of Transportation Systems （Knowledge and Understanding）・Mathematical and mechanical subjects: To understand basic knowledge of mathematical dynamical system, which is essential knowledge for engineers and researchers. （Abilities and Skills）・Mathematical and mechanical subjects: Ability to create questions and analyze by utilizing basic knowledge of mathematical dynamical systems. Program of Material Processing （Abilities and Skills）・Acquiring basis of mechanical system, material creation and processing engineering steadily, and being able to apply Program of Energy Transform Engineering （Abilities and Skills）・Acquring basis of mechanical system engineering steadily and developing the applied skill. Program of Electrical,Systems and Information Engineering （Abilities and Skills）・Mathematical methods required for professionals in electrical, systems, and information engineering. Program of Electronic Devices and Systems （Abilities and Skills）・Mathematical methods required for professionals in electronics engineering. Program of Applied Chemistry （Knowledge and Understanding）・Wide range of basic knowledge on liberal arts and specialized education, and professional basic knowledge on chemistry. Program of Chemical Engineering （Abilities and Skills）・Definite learning of basic chemistry and chemical engineering and cultivation of application ability engineering basis. Program of Biotechnology （Knowledge and Understanding）・Acquisition of basic and advanced knowledge relating to biotechnology and life science. (Target/Lecture class) Program of Civil and Environmental Engineering （Abilities and Skills）・Ability to analyze problems Program of Architecture and Building Engineering （Knowledge and Understanding）・Understanding on learning basic engineering knowledge. (Being able to explain basic contents of mathematics, physics and information technology. Being able to apply the basic contents to architecture and building engineering)
Class Objectives /Class Outline	The probability and statistics play vital roles in several scientific and research disciplines as well as in industry. Thus, the lecture series are to understand the fundumentals of the probability and statistics, and to learn several mathematical techniques in statistics.
Class Schedule	Lesson1 Events and Probability Lesson2 Conditioanl probability, Independence of events Lesson3 Random variables, Probability distributions (1) Lesson4 Random variables, Probability distributions (2) Lesson5 Expectation and Variance (1) Lesson6 Expectation and Variance (2) Lesson7 Independency of random variables Lesson8 Important probability distributions (1) Lesson9 Important probability distributions (2) Lesson10 Law of large numbers, Central limit theorem Lesson11 Exercises Lesson12 Statistical inference Lesson13 Statistical estimation of normal populations Lesson14 Testing of statistical hypothesis of normal populations (1) Lesson15 Testing of statistical hypothesis of normal populations (2) Final examination
Text/Reference Books,etc.	Text：Yoshihiko Maesono "Probability and Statistics" 3rd edition Saiensu'sha Co., Ltd. Publishers Lecture Note: "Probability and statistics note"
PC or AV used in Class,etc.
(More Details)	Text
Learning techniques to be incorporated
Suggestions on Preparation and Review	Lesson 1 　Review the content of the lecture using the text book and notebook. Lessons 2 - 15 Read the text book before the lecture and review the content of the lecture using the text book and notebook.
Requirements
Grading Method	Final examination (70%) and Reports (30%).
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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