Graduate School of Science and Engineering

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PRI500X4(情報学基礎 / Principles of informatics 500)
Intelligent Sensing

Hiroshi SATO

Class code etc
Faculty/Graduate school Graduate School of Science and Engineering
Attached documents
Year 2022
Class code YC035
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 月3/Mon.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience
Category システム理工学専攻

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Outline (in English)

This course introduces a case study of measurement devices, sensors, evaluation method of uncertainty and examples of smart sensing applications.
At the end of the course, students are expected to estimate an uncerttainty of measurement system and be able to contribute to discussions involving smart sensing.
Before/after each class meeting, students will be expected to spend four hours to understand the course content practice/survey.
Final grade will be calculated according to the following process Mid-term report (35%), term-end report (35%), and in-class contribution (30%).

Default language used in class

日本語 / Japanese