Course Details

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Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1EE434SENSORS AND MEASUREMENT3+0+03521.09.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course (1) introducing working principles and classifications of modern sensors.
(2) providing understanding of basic measurement theory and system components.
(3) exploring real-world applications of sensors through article readings and group studies.
(4) developing skills in literature review and design-thinking for sensor systems.
Course Content This course introduces the fundamental working principles of sensors and measurement systems, emphasizing how signals are generated, conditioned, and interpreted. Students learn how to characterize sensor behavior through performance metrics such as sensitivity, selectivity, resolution, accuracy, and noise. Practical aspects of measurement techniques, data acquisition, and performance limitations are discussed, along with sources of error and uncertainty. The course develops the ability to critically analyze sensor responses, compare figures of merit, and evaluate trade-offs in real applications, preparing students to design and assess smart sensing solutions.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Research Assist.Dr. Sinan Genç sinan.genc@agu.edu.tr
Name of Lecturers Research Assist.Dr. Sinan Genç sinan.genc@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Sabrie Soloman Sensors Handbook 2nd Edition, McGrawHill,
Fraden, Handbook of Modern Sensors, Springer
Krzysztof Iniewski, Smart Sensors for Industrial Applications CRC Press Taylor and Francis Group: 2013
Course Notes -Sabrie Soloman Sensors Handbook 2nd Edition, McGrawHill,
-Fraden, Handbook of Modern Sensors, Springer
-Krzysztof Iniewski, Smart Sensors for Industrial Applications CRC Press Taylor and Francis Group: 2013

Course Category
Engineering %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Quiz/Küçük Sınav 4 % 15
Ödev 4 % 10
Proje/Çizim 2 % 20
Final examination 1 % 20
Diğer (Staj vb.) 1 % 35
Total
12
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Tartışma 5 2 10
Yazılı Sınav 1 15 15
Grup Projesi 2 20 40
Ev Ödevi 3 5 15
Kısa Sınav 4 4 16
Yüz Yüze Ders 13 3 39
Final Sınavı 1 15 15
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Explain the working principles and performance parameters of sensors,
2 Identify different types of sensors and discuss use-cases,
3 Collaboratively analyze sensor-related research papers
4 Propose conceptual designs for sensor applications based on real-world needs.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Sensor Fundamentals
2 Sensor Working Principals: Electrical, mechanical and thermal effects
3 Sensor Classification: Thermal, mechanical, electrical, optical
4 Measurements Systems: DAQ basics, signal conditioning
5 Sensor Performance Metrics: Sensitivity, resolution, accuracy and hysteresis
6 Midterm exam
7 Fall break
8 Optical and Magnetic Sensors: Photoelectric effect, Hall effect
9 Active Learning Activity: Presentation & Discussions-Project 1
10 Intro to MEMS Sensors: Pressure sensors, accelerometers
11 Sensors in Industrial Systems: Proximity, temperature and flow sensors
12 Environmental and Biomedical Sensors: Gas sensors, biosensors, wearables
13 Color Sensing and Machine Vision. Light detection, reflectivity
14 Future of Sensing: Flexible Electronics, AI in sensing
15 Project 2 Presentation

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 5 4 4 2 4 2 2 3 3 2 4 2
C2 4 4 4 2 3 2 3 3 3 2 4 2
C3 3 3 3 5 3 3 5 3 4 3 3 3
C4 4 4 5 4 4 3 4 4 4 3 5 4

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=79023&lang=en
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