KA108001 Digital Circuit Design

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Informatics and Data Science

Lecture Code KA108001 Subject Classification Specialized Education

Subject Name ディジタル回路設計

Subject Name
（Katakana）ディジタルカイロセッケイ

Subject Name in
English Digital Circuit Design

Instructor NAKANO KOUJI,VICTOR PARQUE

Instructor
(Katakana) ナカノ　コウジ,ヴィクター　パルケ

Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  3Term

Days, Periods, and Classrooms (3T) Tues1-4：ENG 219

Lesson Style Lecture Lesson Style
(More Details) 　

Course materials of power point slides are provided.

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） 02 : Information Science

Eligible Students

Keywords

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Program of Electrical,Systems and Information Engineering
（Abilities and Skills）
・Concepts, knowledge and methods which are the basis for studies related to electrical,  systems, and information engineering.
・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering.

Program of Electronic Devices and Systems
（Abilities and Skills）
・Concepts, knowledge and methods which are the basis for studies related to electronic engineering.
・Ability to apply basic concepts, knowledge, and methods of electronics engineering to concrete/technical problems.

Computer 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.
・D3. Knowledge of hardware and software and programming ability to process data efficiently.

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
（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.
・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.

Class Objectives
/Class Outline 1. Learn logic circuit design
2. Learn design of circuit that performs miscellaneous computation
3. Learn practical circuit design

Class Schedule lesson1: Guidance
lesson2,3: Boolean formula, Basic gates
lesson4,5: Simplifying Boolean formula, Karnaugh Map
lesson6,7: 3-state buffer, selector, decoder
lesson8,9: Binary number system, adder, subtractor, multiplier
lesson10,11: Flip-flop, asynchronous counter
lesson12,13: counter, synchronous circuit, state machine
lesson14,15: memory, enumeration circuit, convolution circuit
lesson16: Final exam

Text/Reference
Books,etc. Course materials are provided

PC or AV used in
Class,etc. 　

(More Details) Course materials are provided

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Homeworks and reports are given

Requirements

Grading Method Reports and final exam are evaluated.
The scores of both reports and the final exam must be at least 60%.

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.

Academic Year	2024Year	School/Graduate School	School of Informatics and Data Science
Lecture Code	KA108001	Subject Classification	Specialized Education
Subject Name	ディジタル回路設計
Subject Name （Katakana）	ディジタルカイロセッケイ
Subject Name in English	Digital Circuit Design
Instructor	NAKANO KOUJI,VICTOR PARQUE
Instructor (Katakana)	ナカノ　コウジ,ヴィクター　パルケ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Tues1-4：ENG 219
Lesson Style	Lecture	Lesson Style (More Details)
Course materials of power point slides are provided.
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）	02 : Information Science
Eligible Students
Keywords
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Program of Electrical,Systems and Information Engineering （Abilities and Skills）・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering. ・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering. Program of Electronic Devices and Systems （Abilities and Skills）・Concepts, knowledge and methods which are the basis for studies related to electronic engineering. ・Ability to apply basic concepts, knowledge, and methods of electronics engineering to concrete/technical problems. Computer 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. ・D3. Knowledge of hardware and software and programming ability to process data efficiently. 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 （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. ・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.
Class Objectives /Class Outline	1. Learn logic circuit design 2. Learn design of circuit that performs miscellaneous computation 3. Learn practical circuit design
Class Schedule	lesson1: Guidance lesson2,3: Boolean formula, Basic gates lesson4,5: Simplifying Boolean formula, Karnaugh Map lesson6,7: 3-state buffer, selector, decoder lesson8,9: Binary number system, adder, subtractor, multiplier lesson10,11: Flip-flop, asynchronous counter lesson12,13: counter, synchronous circuit, state machine lesson14,15: memory, enumeration circuit, convolution circuit lesson16: Final exam
Text/Reference Books,etc.	Course materials are provided
PC or AV used in Class,etc.
(More Details)	Course materials are provided
Learning techniques to be incorporated
Suggestions on Preparation and Review	Homeworks and reports are given
Requirements
Grading Method	Reports and final exam are evaluated. The scores of both reports and the final exam must be at least 60%.
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.

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