TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| ELECTRICAL-ELECTRONIC ENGINEERING PR. (ENGLISH) | |
| Code | EEES415 |
| Name | Introduction to Internet of Things (IoT) |
| Term | 2026-2027 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi ERCAN AVŞAR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to introduce students to the fundamentals of the Internet of Things (IoT), including its architecture, communication protocols, hardware/software components, and application domains. The course aims to equip students with the knowledge and skills related to sensors, microcontrollers (Arduino, ESP32, Raspberry Pi, etc.), wireless communication technologies, cloud platforms, and data analytics, enabling them to design IoT-based solutions in areas such as smart cities, Industry 4.0, healthcare, and agriculture.
Course Content
This course covers the fundamentals, historical evolution, and layered architecture of the Internet of Things (IoT); sensors, actuators, and microcontroller-based development platforms (Arduino, ESP32, Raspberry Pi); introduction to embedded systems programming; short-range (Wi-Fi, Bluetooth, BLE, Zigbee) and low-power wide-area (LoRa, NB-IoT, Sigfox) wireless communication protocols; application-layer protocols (MQTT, CoAP, HTTP/REST); cloud computing and IoT platforms (ThingSpeak, AWS IoT, Azure IoT) for data acquisition, storage, and visualization; edge and fog computing; fundamentals of data analytics and machine learning in IoT; IoT security, privacy, and ethical considerations; and application domains such as smart cities, Industry 4.0, healthcare, agriculture, and smart home; within the term project, students design and implement an IoT-based prototype addressing real-world problems.
Course Precondition
There is no prerequisite for the course.
Resources
Raj, P., & Raman, A. C. (2017). The Internet of Things: Enabling Technologies, Platforms, and Use Cases. CRC Press. McEwen, A., & Cassimally, H. (2014). Designing the Internet of Things. Wiley.
Notes
Buyya, R., & Dastjerdi, A. V. (2016). Internet of Things: Principles and Paradigms. Morgan Kaufmann. Online documentation: Arduino.cc, Espressif ESP32 documentation, AWS IoT and Azure IoT documentation.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the fundamental concepts, architecture, and components of IoT. |
| LO02 | Identify and select appropriate sensor and actuator technologies for IoT systems. |
| LO03 | Program microcontroller-based IoT devices (Arduino, ESP32, Raspberry Pi). |
| LO04 | Compare and apply wireless communication protocols (Wi-Fi, Bluetooth, Zigbee, LoRa, MQTT, CoAP) used in IoT. |
| LO05 | Establish device-to-cloud communication using IoT platforms (ThingSpeak, AWS IoT, Azure IoT, etc.). |
| LO06 | Implement data collection, analysis, and visualization processes in IoT systems. |
| LO07 | Evaluate fundamental issues and solutions related to IoT security and privacy. |
| LO08 | Design and implement an IoT-based prototype addressing real-world problems. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ computer programming techniques, and information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | 3 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | 3 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Ability to apply the knowledge of electrical-electronics engineering to profession-specific tools and devices. | 5 |
| PLO13 | Bilgi - Kuramsal, Olgusal | Having consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to IoT: definition, historical evolution, and application areas | Reviewing the course syllabus; reading basic resources on the concept of "Internet of Things," its historical development, and everyday applications; researching examples of IoT in industrial and consumer domains. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | IoT architecture: perception, network, processing, and application layers | Reading the relevant textbook chapters on three- and five-layer IoT architectures; reviewing the OSI and TCP/IP layer models in computer networks; preliminary research on edge and fog computing concepts. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Sensors and actuators: types, working principles, and selection criteria | Reviewing fundamental electronics knowledge (voltage, current, resistance); refreshing analog and digital signal concepts; examining datasheets of common sensors (DHT11, LDR, HC-SR04, MPU6050). | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 4 | Microcontrollers and development platforms (Arduino, ESP32, Raspberry Pi) | Researching the difference between microprocessors and microcontrollers; comparing the technical specifications of Arduino, ESP32, and Raspberry Pi platforms; installing the Arduino IDE on a personal computer. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Introduction to embedded systems programming and applications | Reviewing basic syntax of C/C++ programming language (variables, loops, functions); examining fundamental Arduino commands (pinMode, digitalWrite, analogRead); running the sample "Blink" code. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Wireless communication protocols: Wi-Fi, Bluetooth, BLE, Zigbee | Basic-level review of electromagnetic waves and frequency bands; researching the fundamental features of Wi-Fi, Bluetooth, BLE, and Zigbee technologies; examining home/office network structures. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Low-power wide-area networks (LoRa, NB-IoT, Sigfox) | Preliminary reading on LoRa, Sigfox, NB-IoT, and LTE-M technologies; reviewing the basic logic of cellular network technologies (3G, 4G, 5G); researching LPWAN infrastructure providers in Turkey. | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 8 | Mid-Term Exam | Comprehensive review of all topics covered in the first seven weeks; reviewing lecture notes, and assignments; practicing with sample exam questions. | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | IoT communication protocols: MQTT, CoAP, HTTP/REST | Researching client-server and publish-subscribe communication models; reviewing the basic logic of the HTTP/REST architecture; introductory reading on MQTT and CoAP protocols. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Cloud computing and IoT platforms (ThingSpeak, AWS IoT, Azure IoT) | Researching cloud computing service models (IaaS, PaaS, SaaS); exploring the websites of ThingSpeak, AWS IoT Core, and Azure IoT Hub platforms; creating free accounts. | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 11 | Data acquisition, storage, and visualization | Examining JSON and CSV data formats; basic-level review of database concepts (SQL/NoSQL); visual research on a sample IoT dashboard application. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Fundamentals of data analytics and machine learning in IoT | Reviewing descriptive statistics (mean, standard deviation); general-level research on machine learning types (supervised, unsupervised); preliminary reading on Python and its basic libraries (NumPy, Pandas). | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 13 | IoT security, privacy, and ethical considerations | Researching the fundamental principles of information security (Confidentiality, Integrity, Availability - CIA); reviewing concepts of encryption and authentication; examining the general framework of KVKK and GDPR regulations. | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | IoT application domains: smart cities, Industry 4.0, healthcare, agriculture, smart home | Browsing current news and articles on smart cities, Industry 4.0, smart agriculture, and healthcare IoT; watching video/presentation materials of successful IoT projects. | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 15 | Student project presentations | Completing the term project; preparing the presentation file and demo video; organizing the project report according to the submission format; rehearsing the presentation. | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Gösteri |
| 16 | Term Exams | Comprehensive review of all topics covered throughout the semester; special focus on topics covered after the midterm; practicing with solved sample questions. | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Comprehensive review of all topics covered throughout the semester; special focus on topics covered after the midterm; practicing with solved sample questions. | 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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 94 | ||
| Total Workload / 25 (h) | 3,76 | ||
| ECTS | 4 ECTS | ||