Ders Planı

Lesson Information

Course Credit
Course ECTS Credit
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	Equip students with the knowledge & expertise of Industry 4.0 dealing with the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing. Technologies such as Cyber Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, and Data Analytics are considered to be the different drivers necessary for the transformation. Industrial Internet of Things (IIoT) is an application of IoT in industries to modify the various existing industrial systems. IIoT links the automation system with enterprise, planning and product lifecycle. We have a variety of technologies that are used in the Internet of Things.
Course Content	Introduction of IOT: Sensing & actuation. Enabling technologies: Radio frequency Identification (RFID) and Wireless sensors. IOT applications. Ubiquitous computing, IOT based monitoring & control for Smart Home Automation, Hardware & Software, Cybersecurity in Industry 4.0, Basics of Industrial IoT: Industrial Processes, Industrial Sensing & Actuation, Industrial Internet Systems. Industry 4.0: Cyber Physical Systems and Next Generation Sensors, Collaborative Platform and Product Lifecycle Management, Augmented Reality and Virtual Reality, Artificial Intelligence, Big Data and Advanced Analysis & preventive maintenance. Week 7: IoT systems design and architecture: elements of IoT system, potentials, constrains, and applications. IOT access technologies: LORAWAN, ZigBee. IOT protocols: COAP, MQTT.

The aim of the course

Equip students with the knowledge & expertise of Industry 4.0 dealing with the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing. Technologies such as Cyber Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, and Data Analytics are considered to be the different drivers necessary for the transformation. Industrial Internet of Things (IIoT) is an application of IoT in industries to modify the various existing industrial systems. IIoT links the automation system with enterprise, planning and product lifecycle. We have a variety of technologies that are used in the Internet of Things.

Course Content

Introduction of IOT: Sensing & actuation. Enabling technologies: Radio frequency Identification (RFID) and Wireless sensors. IOT applications. Ubiquitous computing, IOT based monitoring & control for Smart Home Automation, Hardware & Software, Cybersecurity in Industry 4.0, Basics of Industrial IoT: Industrial Processes, Industrial Sensing & Actuation, Industrial Internet Systems. Industry 4.0: Cyber Physical Systems and Next Generation Sensors, Collaborative Platform and Product Lifecycle Management, Augmented Reality and Virtual Reality, Artificial Intelligence, Big Data and Advanced Analysis & preventive maintenance. Week 7: IoT systems design and architecture: elements of IoT system, potentials, constrains, and applications. IOT access technologies: LORAWAN, ZigBee. IOT protocols: COAP, MQTT.

Learning Outcomes

Mathematics , Science and sufficient knowledge in electrical engineering issues; theoretical and practical knowledge in the field of Electrical and Electronics Engineering the ability to apply for modeling and problem solving.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to work effectively in interdisciplinary and multidisciplinary teams; ability to work individually .
Act according to ethical , professional and ethical responsibility about the standards used in electrical and electronic engineering applications
The ability to design to meet specific needs;complex system , process, device or product under realistic constraints and conditions , the ability to apply modern design methods for this purpose .
Awareness of the necessity of lifelong learning ; Access to knowledge, science and developments in technology and continuous self -improvement.
Awareness of universal and social dimensions of health electrical engineering applications , contemporary issues and their impact on the environment and safety ; awareness of the legal consequences of engineering solutions .
Ability to communicate effectively in Turkish, both oral and written, with at least one foreign language knowledge, ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, giving clear and concise instructions and receiving skills.
Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
Analyzing and solving using modern techniques and tools for complex problems encountered in the electrical and electronics application development , selection and use of skills , skills to use ICT effectively
Designing experiments for the study of electrical engineering problems , conduct experiments, collect data , analyze and interpret the results .
Awareness about occupational health and safety
Development and scientific publications of conciousness can be followed in the electrical and electronics engineering. Developed will be able to access the resources that it can meet the education requirements for the new system awareness.

Weekly Course Subjects

1	Introduction of IOT: Sensing & actuation. Enabling technologies: Radio frequency Identification (RFID) and Wireless sensors. IOT applications. Ubiquitous computing, IOT based monitoring & control for Smart Home Automation, Hardware & Software,
2	Cybersecurity in Industry 4.0, Basics of Industrial IoT: Industrial Processes, Industrial Sensing & Actuation, Industrial Internet Systems.
3	Health monitoring using IOT sensing with cloud based-processing. Introduction to Internet of medical things (IOMT).
4	IOT based monitoring & control for Smart Home Automation, Hardware & Software. Software simulation tools: Packet tracer.
5	Industry 4.0: IIOT Architectures and frameworks. Globalization and Emerging Issues, The Fourth Revolution, LEAN Production Systems, and Smart Factories.
6	Industry 4.0: Cyber Physical Systems and Next Generation Sensors, Collaborative Platform and Product Lifecycle Management, Augmented Reality and Virtual Reality, Artificial Intelligence, Big Data and Advanced Analysis & preventive maintenance.
7	IoT systems design and architecture: elements of IoT system, potentials, constrains, and applications. IOT access technologies: LORAWAN, ZigBee. IOT protocols: COAP, MQTT.
8	Midterm.
9	Cybersecurity in Industry 4.0, Basics of Industrial IoT: Industrial Processes-Part I, Part II, Industrial Sensing & Actuation, Industrial Internet Systems.
10	IIOT protocols: Profinet & Wireless HART, Machine-to-Machine (M2M) and Machine-to-Cloud (M2C) communication.
11	Industrial IoT: Security and Fog Computing - Fog Computing in IIoT, Security in IIoT-Part I, Part II, Industrial IoT- Application Domains: smart Factories and Assembly Line, Food Industry. Introduction to Industry 5.0 & the role of COBOTS ( Collaborative robots) and disruptive technologies like digital twin & Augmented reality in driving a sustainable environment
12	Application of IOT in Vehicle to vehicle communication. The role of Artificial Internet of Things (AIOT) in driver assistance technology, particularly the self-driving vehicles.
13	Student Project presentations.
14	Student Project presentations.

Resources

1-Lecture Notes.

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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