北海道大学 シラバス・成績入力システム／HOKKAIDO Univ. Entry System of Syllabi and Academic Records - シラバス印刷

2019/12/03 16)52

北海道大学シラバス
科目名
Wireless Sensor Networks and IoT
講義題目

責任教員（所属）
宮永 喜一 ( 大学院情報科学研究院 )担当教員（所属）
宮永 喜一 ( 大学院情報科学研究院 )Eryk Dutkiewicz ( ｼﾄﾞﾆｰ工科大学 )Negin Shariati Moghadam ( ｼﾄﾞﾆｰ工科大学 )科目種別

情報科学院専門科目

開講年度

2019

期間

授業形態

講義

単位数

対象学科・クラス

他学部履修等の可否

可

２学期

時間割番号

215603

1

対象年次

〜

補足事項

ナンバリングコード
大分類コード

大分類名称

レベルコードレベル

5

大学院（修士・専門職）専門科目（基礎的な内容の科目）、大学院共通授業科目

中分類コード

中分類名称

小分類コード

小分類名称

言語
英語で行う授業
実務経験のある教員等による授業科目

キーワード
Wireless Sensor Network, IoT, Circuits and Systems, Energy Harvesting, Analog Circuits, LSI
http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=1

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授業の目標
Wireless sensor networks are distributed systems. In these networks, small autonomous devices collect environmental data (such aslocation, speed, temperature, humidity and sound level) and medical data (such as heart rate, blood oxygen level and pulse rate). Sensor
networks and IoT devices are designed and developed for many different applications, including environmental monitoring, agriculturalmonitoring, medical monitoring, habitat monitoring and military surveillance. In this lecture, the design methods of wireless sensor
networks and IoT devices are introduced. In particular, the technology on natural energy harvesting is explained and its circuits designs
are also introduced.

到達目標
By the end of this course you will be able to1. know the protocol and structures of wireless sensor network and IoT.
2. know how to design a simple IoT devices and to design the energy harvesting modules.
3. present the behavior of wireless sensor network and IoT in detail.

授業計画
Lecture 1: Overview of WSN and IoT
Lecture 2: Design of WSN
Lecture 3: Multi-Media IoT system (1)Lecture 4: Multi-Media IoT system (2)Lecture 5: Resource (energy) management in WSN/IoT
Lecture 6: Design of Energy Harvesting for IoT devices (1)Lecture 7: Design of Energy Harvesting for IoT devices (2)Lecture 8: Applications of WSN/IoT

準備学習(予習・復習)等の内容と分量
It is required for students to make enough preparation and review before and after each lecture. For each lecture, 90 min preparation and90 min review are required.
Lecture materials are available on the e-Leaning of Hokkaido University.

成績評価の基準と方法
Students whose attendance rate is less than 70% cannot get any evaluation. Evaluation is based on the term report (90%) and the lecture
participation (10%). By the term report, students' deep understanding of a specific technology and presentation skills are evaluated. Theevaluation is based on 5 grades. The ratio of S is not greater than 15% of registered students. The ratio of S and A is not greater 50% ofregistered students.

有する実務経験と授業への活用

他学部履修の条件

テキスト・教科書
References will be introduced in the lecture.
講義指定図書http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=1

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2019/12/03 16)52

参照ホームページ

研究室のホームページ
https://csw.ist.hokudai.ac.jp/

備考
Recommended Course (Course highly recommended to be taken together with this course):
1. Introduction to Wireless Sensor Networks and IoT
2. Cyber Security Fundamentals
3. Cyber Security

更新日時
2019/02/04 12:00:03

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2019/12/03 16)53

Hokkaido University Syllabus
Course Title
Wireless Sensor Networks and IoT
Subtitle

Instructor (Institution)
Yoshikazu MIYANAGA ( Faculty of Information Science and Technology )Other Instructors (Institution)
Yoshikazu MIYANAGA ( Faculty of Information Science and Technology )Eryk Dutkiewicz
Negin Shariati Moghadam
Course TypeOpen To Other Faculties / SchoolsOKYear2019Semester

2nd Semester

Course Number215603

Type of ClassLecture

Number of Credits

1Year of Eligible Students〜Eligible Department /Class

Other Information

Numbering Code
Major Category Code

Major Category Title

Level Code

Level

5

Specialized Subjects (basics) in graduate level (Master's Course and Professional Course), Inter-Graduate
School Classes

Middle Category Code

Middle Category Title

Small Category CodeSmall Category Title

Language TypeClasses are in English.
Course list by the instructor with practical experiencesKey Words
Wireless Sensor Network, IoT, Circuits and Systems, Energy Harvesting, Analog Circuits, LSI

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

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Course Objectives
Wireless sensor networks are distributed systems. In these networks, small autonomous devices collect environmental data (such as
location, speed, temperature, humidity and sound level) and medical data (such as heart rate, blood oxygen level and pulse rate). Sensor
networks and IoT devices are designed and developed for many different applications, including environmental monitoring, agriculturalmonitoring, medical monitoring, habitat monitoring and military surveillance. In this lecture, the design methods of wireless sensor
networks and IoT devices are introduced. In particular, the technology on natural energy harvesting is explained and its circuits designs
are also introduced.

Course Goals
By the end of this course you will be able to1. know the protocol and structures of wireless sensor network and IoT.
2. know how to design a simple IoT devices and to design the energy harvesting modules.
3. present the behavior of wireless sensor network and IoT in detail.

Course Schedule
Lecture 1: Overview of WSN and IoT
Lecture 2: Design of WSN
Lecture 3: Multi-Media IoT system (1)Lecture 4: Multi-Media IoT system (2)Lecture 5: Resource (energy) management in WSN/IoT
Lecture 6: Design of Energy Harvesting for IoT devices (1)Lecture 7: Design of Energy Harvesting for IoT devices (2)Lecture 8: Applications of WSN/IoT

Homework
It is required for students to make enough preparation and review before and after each lecture. For each lecture, 90 min preparation and
90 min review are required.
Lecture materials are available on the e-Leaning of Hokkaido University.

Grading SystemStudents whose attendance rate is less than 70% cannot get any evaluation. Evaluation is based on the term report (90%) and the lecture
participation (10%). By the term report, students' deep understanding of a specific technology and presentation skills are evaluated. Theevaluation is based on 5 grades. The ratio of S is not greater than 15% of registered students. The ratio of S and A is not greater 50% ofregistered students.

Practical experience and utilization for classes

Condition of tasking the subject

Textbooks
References will be introduced in the lecture.

Reading List

Websites

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

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2019/12/03 16)53

Website of Laboratory
https://csw.ist.hokudai.ac.jp/

Additional Information
Recommended Course (Course highly recommended to be taken together with this course):
1. Introduction to Wireless Sensor Networks and IoT
2. Cyber Security Fundamentals
3. Cyber Security

Update
2019/02/04 12:00:03

http://syllabus01.academic.hokudai.ac.jp/Syllabi/Public/Syllabus/SylPrint.aspx?mode=print&langMode=2

3 / 3 ページ