Hiroshima University Syllabus

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Academic Year 2024Year School/Graduate School School of Informatics and Data Science
Lecture Code KA128001 Subject Classification Specialized Education
Subject Name 情報理論
Subject Name
Subject Name in
Information Theory
ナカニシ トオル
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Weds7-8:ENG 219, (2T) Fri7-8:ENG 218
Lesson Style Lecture Lesson Style
(More Details)
Hybrid (Combination of face-to-face and online(simultaneous interactive)) 
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 3 : Undergraduate High-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students
Keywords Entropy, Source coding, Channel coding, Cryptography 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Explain fundamentals of information theory with models and expressions for information. This provides a part of foundations of information science. 
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Computer Science Program
(Knowledge and Understanding)
・D1. Knowledge and ability to understand the theoretical framework underlying computer science and to collect and process high-dimensional data through full use of information processing technology based on scientific logic.

Data Science Program
(Abilities and Skills)
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.

Intelligence Science Program
(Knowledge and Understanding)
・D1. A deep systematic understanding of the advanced intelligence of human beings and its realization by computers. 
Class Objectives
/Class Outline
As the fundamentals of information and communication, this class targets to learn entropy to measure information, source coding to efficiently represent information, and chennel coding to correct errors. In addition, this class targets to learn fundamental concepts of probability theory, and cryptography. 
Class Schedule lesson1: Guidance
lesson2: Entropy (1)
lesson3: Entropy (2)
lesson4: Entropy (3)
lesson5: Source coding (1)
lesson6: Source coding (2)
lesson7: Source coding (3)
lesson8: Source coding (4)
lesson9: Markov information source, Excercise
lesson10: Channel coding (1)
lesson11: Channel coding (2)
lesson12: Channel coding (3)
lesson13: Channel coding (4)
lesson14: Excercise
lesson15: Cryptography

The final examination will be held. 
Textbook: "情報・符号理論", Yuichi Kaji, Ohmsha 
PC or AV used in
(More Details) Powerpoint, Textbook, Handouts 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Students should review the exercises in each lecture. 
Grading Method Evaluation based on exercises/small tests/reports (about 30%) and examinations (about 70%) 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
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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