Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School School of Engineering
Lecture Code K0208040 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) Weds5-6,Thur7-8:ENG 220
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture 
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 IV
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
 
Criterion referenced
Evaluation
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 (1)  
lesson2 Events and Probability (2)
lesson3 Conditioanl probability, Independence of events
lesson4 Random variables, Probability distributions (1)
lesson5 Random variables, Probability distributions (2)
lesson6 Important probability distributions (1)
lesson7 Important probability distributions (2)
lesson8 Expectation and Variance, Central limit theorem
lesson9 Exercises
lesson10 Statistical inference
lesson11 Statistical estimation of normal populations (1)
lesson12 Statistical estimation of normal populations (2)
lesson13 Testing of statistical hypothesis of normal populations (1)
lesson14 Testing of statistical hypothesis of normal populations (2)
lesson15 Testing of statistical hypothesis of normal populations (3)

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.
lesson 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 By estimating final examination. Pass mark is 60/100.  
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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