TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| MECHANICAL ENGINEERING (MASTER) (WITH THESIS) (ENGLISH) | |
| Code | MK597 |
| Name | Real-Time Data Acquisition and Control |
| Term | 2026-2027 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Mustafa DAĞDELEN |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to develop students’ ability to acquire, process, and analyze real-time data using sensors and data acquisition systems. Additionally, it focuses on implementing basic feedback control methods in real-time environments using the acquired data and integrating them into engineering applications.
Course Content
his course aims to develop students’ ability to acquire, process, and analyze real-time data using sensors and data acquisition systems. Additionally, it focuses on implementing basic feedback control methods in real-time environments using the acquired data and integrating them into engineering applications.
Course Precondition
None
Resources
Maurice, M., & Park, J. (2019). Data acquisition systems: From fundamentals to applied design. Academic Press. Doebelin, E. O., & Manik, D. N. (2011). Measurement systems: Application and design (6th ed.). McGraw-Hill. Kopetz, H. (2011). Real-time systems: Design principles for distributed embedded applications (2nd ed.). Springer.
Notes
Lecturer Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Ability to design real-time data acquisition systems |
| LO02 | Ability to implement real-time control algorithms |
| LO03 | Ability to process data and integrate control systems |
| LO04 | Ability to analyze timing and latency in real-time systems |
| LO05 | Ability to co-design hardware and software for real-time applications |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Understands and applies basic sciences, mathematics and engineering sciences at a high level. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | He/she has extensive and in-depth knowledge, including the latest developments in his/her field. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | They reach the latest information in a field and have a high level of proficiency in the methods and skills necessary to comprehend and research them. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | They carry out a comprehensive study that brings innovation to science and technology, develops a new scientific method or technological product/process, or applies a known method to a new field. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Independently perceives, designs, implements and concludes an original research process; manages this process. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Contributes to the science and technology literature by publishing the outputs of its academic studies in respected academic environments. | 3 |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Evaluates scientific, technological, social and cultural developments and conveys them to the society with the awareness of scientific impartiality and ethical responsibility. | |
| PLO08 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Performs critical analysis, synthesis and evaluation of ideas and developments in the field of expertise. | 5 |
| PLO09 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates effectively, both verbally and in writing, with those working in the field of specialization and the wider scientific and social community, communicating and discussing at an advanced level of written, oral and visual communication using a foreign language at least at the C1 General Level of the European Language Portfolio. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Carring out literature survey |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to the course, its scope, and expectations Concept of real-time systems Overview of data acquisition and control systems | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Types of sensors Sensor selection and characteristics Measurement errors | Lecture Note | Öğretim Yöntemleri: Anlatım |
| 3 | Analog and digital signals Sampling Introduction to signal processing | Lecture Note | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Noise sources Filtering (low-pass, high-pass, moving average, etc.) Amplification and offset | Lecture Note | Öğretim Yöntemleri: Anlatım, Gösteri |
| 5 | DAQ architecture Input/output types Hardware introduction (board structure and connections) | Lecture Note | Öğretim Yöntemleri: Anlatım, Gösteri, Gösterip Yaptırma |
| 6 | Introduction to the Simulink environment Data acquisition blocks Basic data acquisition application | Lecture Note | Öğretim Yöntemleri: Anlatım |
| 7 | Real-time execution principles Selection of sampling time Deterministic vs. non-deterministic systems | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Lecture Note | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Sensor integration Real-time data acquisition and visualization Basic experimental setup | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Open-loop / closed-loop systems Feedback concept System response | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | PID structure Effects of parameters Basic PID implementation | Lecture Note | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
| 12 | Closed-loop control using DAQ Sensor and actuator integration Implementation in Simulink | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Error metrics (MAE, RMSE, IAE, ITAE, etc.) System stability Performance analysis application | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Student project presentations Discussion and feedback Overall course evaluation | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Summary of topics Presentation of assignments | Lecture Note | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Term Exams | Lecture Note | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Lecture Note | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||