Academic Year |
2024Year |
School/Graduate School |
School of Integrated Arts and Sciences Department of Integrated Arts and Sciences |
Lecture Code |
ANM15001 |
Subject Classification |
Specialized Education |
Subject Name |
情報理論 |
Subject Name (Katakana) |
ジョウホウリロン |
Subject Name in English |
Information Theory |
Instructor |
KODAMA MEI |
Instructor (Katakana) |
コダマ メイ |
Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, 2Term |
Days, Periods, and Classrooms |
(2T) Tues5-8:IAS C808 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Lecture with some practice using a projector / Online or face-to-face |
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 |
Third/ Fourth Grade students in Faculty of Integrated Arts and Sciences, and other students |
Keywords |
Information Theory, Entropy, Code, Code Theory |
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) | Explain fundamentals of information theory with models and expressions for information. This provides a part of fundations of information science. |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Integrated Arts and Sciences (Knowledge and Understanding) ・Knowledge and understanding of the importance and characteristics of each discipline and basic theoretical framework. (Abilities and Skills) ・The ability and skills to specify necessary theories and methods for consideration of issues. (Comprehensive Abilities) ・The ability to conduct research proactively by combining knowledge, understanding, and skills for the tasks, based on flexible creativity and imagination. |
Class Objectives /Class Outline |
Understand fundamentals of information theory and its some practical applications. |
Class Schedule |
lesson1 Guidance, Introduction of Information Theory lesson2 Amount of Information lesson3 Entropy lesson4 Information Source lesson5 Markov Information Source lesson6 Information Source Encoding, Instantaneous Code lesson7 Kraft's Inequality, source coding theorem lesson8 Compact Code, Huffman Code lesson9 Channel Model lesson10 Channel and Capacity lesson11 Channel Coding and Channel Coding Theorem lesson12 Error Detection and Correction lesson13 Linear Code lesson14 Cyclic Code lesson15 Summary
Reports, Midterm Examination and Final Examination(or report) |
Text/Reference Books,etc. |
平田廣則: ``情報理論のエッセンス",オーム社 (2014). |
PC or AV used in Class,etc. |
|
(More Details) |
Projector / online |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Basically, the materials will be provided by the website using an E-learning system. You can browse them. Please feel free to use them for your preparation and review. |
Requirements |
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Grading Method |
Reports 20%, Midterm Examination(or report) 40%, Final Examination(or report) 40% |
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. |