Academic Year |
2024Year |
School/Graduate School |
School of Science |
Lecture Code |
HB230000 |
Subject Classification |
Specialized Education |
Subject Name |
確率・統計A演習 |
Subject Name (Katakana) |
カクリツ・トウケイAエンシュウ |
Subject Name in English |
Exercises in Probability and Mathematical Statistics A |
Instructor |
ODA RYOYA |
Instructor (Katakana) |
オダ リョウヤ |
Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, 2Term |
Days, Periods, and Classrooms |
(2T) Tues1-2,Fri3-4:SCI E209 |
Lesson Style |
Seminar |
Lesson Style (More Details) |
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Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
J
:
Japanese |
Course Level |
3
:
Undergraduate High-Intermediate
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Course Area(Area) |
25
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Science and Technology |
Course Area(Discipline) |
01
:
Mathematics/Statistics |
Eligible Students |
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Keywords |
Probability space, conditional probability, random variable, distribution, expectation, conditional expectation, characteristic function |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Mathematics (Abilities and Skills) ・To acquire basic mathematical abilities (Ability to understand concepts, calculation ability, argumentation ability). ・To acquire skills to formulate and solve mathematical questions. |
Class Objectives /Class Outline |
To understand concepts and properties of probability space, random variable and distribution |
Class Schedule |
lesson1 Review of set theory lesson2 Definition of probability space 1 (sample space and event, limit set) lesson3 Definition of probability space 2 (probability measure, basic properties of probability measure) lesson4 Construction of probability space lesson5 Distribution of random variable (definition, distribution function) lesson6 Independence of multivariate random variables lesson7 Mid-term examination lesson8 Distribution of discrete random variable lesson9 Distribution of continuous random variable lesson10 Distributions of discrete and continuous multivariate random variables lesson11 Expectation of random variable and tis basic properties lesson12 Feature values of distribution lesson13 Conditional distribution lesson14 Conditional expectation lesson15 Characteristic function
Mid-term and final examinations will be held jointly with Probability and Mathematical Statistics A (lecture). Quizzes and reports will be assigned as necessary. |
Text/Reference Books,etc. |
Book of reference: 確率・統計の数学的基礎(藤越康祝,若木宏文,柳原宏和著,広大出版, 電子版), 数理統計学(竹内啓著,東洋経済出版) |
PC or AV used in Class,etc. |
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Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
You should solve many exercise problems in the handout as possible by yourself. You should not copy someone's solutions. |
Requirements |
I recommend taking the lecture on Probability & Mathematical Statistics A at the same time. |
Grading Method |
The results of the answered exercises, quizzes and reports, as well as the results of the examinations of the lectures if they are taken at the same time as the lectures, are also taken into account in the decision. |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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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. |