0000131119 2026 1 전북대학교

Device Analysis

기기분석의 이해
Section분반0000131119
Time수업 시간목 567 | Thur 1-4pm
Room강의실정보화교육동 201호
Year연도2026
Grading성적 평가
Relative Grading상대평가 Grade distribution set by university policy.대학교 정책에 따라 성적 분포 결정.
20%Attend.출석
20%HW과제
25%Mid.중간
25%Final기말
10%Proj.프로젝트
20% Attendance출석20% Homework과제25% Midterm중간고사25% Final기말고사10% Project프로젝트
Schedule강의 일정
2/26🔴 No Class휴강
3/5
▶ Slides
Week주차 1
Introduction
1. Fundamentals of Measurement Systems
Introduction
1. Fundamentals of Measurement Systems
3/12
▶ Slides
Slides 2
Week주차 2
2. Instrument Types and Performance Characteristics 2. Instrument Types and Performance Characteristics
3/19
▶ Slides
Slides 2
Week주차 3
3. Measurement Uncertainty 3. Measurement Uncertainty
3/26
▶ Slides
Slides 2
Week주차 4
4. Statistical Analysis of Measurements Subject to Random Errors 4. Statistical Analysis of Measurements Subject to Random Errors
과제 →
4/2
▶ Slides
Slides 2
Week주차 5
5. Calibration of Measuring Sensors and Instruments 5. Calibration of Measuring Sensors and Instruments
4/9
▶ Slides
Slides 2
Week주차 6
6. Conversion of Nonvoltage Sensor Outputs 6. Conversion of Nonvoltage Sensor Outputs
4/16
▶ Slides
Week주차 7
7. Measurement Signal Transmission 7. Measurement Signal Transmission
4/23📝 Exam시험
4/30
▶ Slides
Slides 2
Week주차 8
8. Measurement Signal Transmission 8. Measurement Signal Transmission
5/7
Week주차 9
9. Display, Recording, and Presentation of Measurement Data 9. Display, Recording, and Presentation of Measurement Data
5/14
Week주차 10
10. Intelligent Devices 10. Intelligent Devices
5/21
Week주차 11
11. Measurement Reliability and Safety Systems 11. Measurement Reliability and Safety Systems
5/28
Week주차 12
12. Data Acquisition with LabVIEW 12. Data Acquisition with LabVIEW
6/4
Week주차 13
13. Sensor Technologies 13. Sensor Technologies
6/11📝 Exam시험
Final Test
Final Test
Overview과목 소개
Prerequisites선수 과목
  • No formal prerequisites. Curiosity required. 공식 선수 과목 없음. 호기심 필수.

Measurement and Instrumentation textbook

Measurement and Instrumentation: Theory and Application, 3rd Edition

This text introduces undergraduate engineering students to measurement principles and the range of sensors and instruments used for measuring physical variables. Providing the most balanced coverage of measurement theory/technologies and instrumentation, it arms students with the knowledge and tools to design and build measurement systems for virtually any engineering application.

  • Covers the latest developments in measurement technologies, including smart sensors, intelligent instruments, microsensors, digital recorders, displays, and interfaces
  • Includes significant material on data acquisition and signal processing with LabVIEW
  • New sections include expansion of MEMS and electrical safety, new illustrations including more photos of real devices, and more worked examples and end-of-chapter problems
Textbooks교재
  • Measurement and Instrumentation: Theory and Application, 3rd Edition
    Required교재
    Measurement and Instrumentation: Theory and Application, 3rd Edition
    Alan S. Morris, Reza Langari
    Academic Press | October 20, 2020
    Buy구매
  • 마이크로파이썬을 활용한 사물인터넷 챗GPT로 코딩하기
    Supplementary참고
    마이크로파이썬을 활용한 사물인터넷 챗GPT로 코딩하기
    양재삼 저
    한빛아카데미 | 2025년 01월 02일
    Buy구매
  • Undergraduate Instrumental Analysis, 8th Edition
    Supplementary참고
    Undergraduate Instrumental Analysis, 8th Edition
    Thomas J. Bruno, James W. Robinson, et. al.
    CRC Press | July 31, 2023
    Buy구매
Instructor강사 소개
Aaron Snowberger
Aaron Snowberger
Ph.D. · Hanbat National University (2023)

Aaron Snowberger earned his Ph.D. in Information and Communications Engineering from Hanbat National University in South Korea in 2023. He also holds degrees in Computer Science and Media Design. He has taught technology courses for over 8 years, English for over 15 years, and has freelanced as a web developer and magazine designer for over 5 years. His current research interests include computer vision, natural language processing, image processing, signal processing, and machine learning.

Aaron Snowberger는 2023년 한국 한밭대학교에서 정보통신공학 박사 학위를 취득했습니다. 그는 또한 컴퓨터 과학 및 미디어 디자인 학위를 취득했습니다. 그는 8년 이상 기술 과정을 가르쳤고, 15년 이상 영어를 가르쳤으며, 5년 이상 웹 개발자 및 잡지 디자이너로 프리랜서로 일했습니다. 현재 연구 관심사는 컴퓨터 비전, 자연어 처리, 영상 처리, 신호 처리, 기계 학습입니다.