Hiroshima University Syllabus |

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

EnglishProbability 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

ProgramCriterion referenced

EvaluationProgram 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 OutlineThe 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 examinationText/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

Reviewlesson 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.