Hiroshima University Syllabus

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Academic Year 2024Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Mathematics Program
Lecture Code WSA18000 Subject Classification Specialized Education
Subject Name 確率論セミナー
Subject Name
Subject Name in
Probability Seminar
イノウエ アキヒコ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  Year
Days, Periods, and Classrooms (Year) Inte:Follow the instruction by the class instructor.
Lesson Style Seminar Lesson Style
(More Details)
This is a seminar-style course. Discussions and presentations by students are required. 
Credits 4.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 7 : Graduate Special Studies
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 01 : Mathematics/Statistics
Eligible Students First and second grade students of the Master course
Keywords probability theory, stochastic processes, dynamical systems 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Class Objectives
/Class Outline
Students learn topics related to probability theory, stochastic processes and dynamical systems. 
Class Schedule lesson1: Introduction and Seminar
lesson2: Seminar
lesson3: Seminar
lesson4: Seminar
lesson5: Seminar
lesson6: Seminar
lesson7: Seminar
lesson8: Seminar
lesson9: Seminar
lesson10: Seminar
lesson11: Seminar
lesson12: Seminar
lesson13: Seminar
lesson14: Seminar
lesson15: Seminar
lesson16: Seminar
lesson17: Seminar
lesson18: Seminar
lesson19: Seminar
lesson20: Seminar
lesson21: Seminar
lesson22: Seminar
lesson23: Seminar
lesson24: Seminar
lesson25: Seminar
lesson26: Seminar
lesson27: Seminar
lesson28: Seminar
lesson29: Seminar
lesson30: Seminar 
PC or AV used in
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
In this course, students are required to actively participate in discussions and presentations. 
Requirements Knowledge of undergraduate measure theory and probability theory is required. 
Grading Method Grades will be assessed on the presentations (50 percents) and the understanding (50 percents). 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message Please contact the instructors before taking this course.  
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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