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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Manufacturing Execution Systems Operator
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
07831118 Internet of Things (IoT) and Cloud Technologies 2 Autumn 3 2+2+0 5 5
Course Type Elective
Course Cycle Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language Turkish
Methods and Techniques Lectures, laboratory practices, simulation studies, project-based learning, group work, and case analysis.
Mode of Delivery Face to Face
Prerequisites None; basic computer and network knowledge is recommended.
Coordinator Lect. Mehmet AKSOY
Instructor(s) Lect. Yasin BÜYÜKER
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Lect. Yasin BÜYÜKER T-219 [email protected] 7408 Tuesday
14:00/16:00
Course Content
The course covers IoT architecture, components, and communication protocols, along with sensor networks, data collection methods, and cloud-based data transfer. Topics include device connectivity, data storage, security, big data analytics, and industrial applications. Students learn the integration of IoT infrastructure with MES and SCADA systems and the design of digital traceability systems.
Objectives of the Course
The aim of this course is to provide students with an understanding of the fundamental principles of the Internet of Things (IoT) and cloud computing technologies. Students learn how devices communicate in industrial environments and gain the ability to develop cloud-based data management solutions.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 Possesses fundamental, up-to-date, and practical knowledge related to their profession 4
P4 Effectively uses information technologies (software, programs, animation, etc.) related to their profession 4
P11 Has the ability to define and design manufacturing operations and processes. 4
P13 It has the ability to integrate, operate, monitor and report manufacturing execution systems. 4
P15 Possesses knowledge and skills in defining and designing intelligent production systems. 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Explains the architecture and components of IoT systems. P.1.24 1
O2 Creates a cloud-based monitoring and control interface. P.4.36 1,7
O3 It ensures security and data integrity in IoT systems. P.4.37 1
O4 It transfers and saves sensor data to the cloud environment. P.11.12 1
O5 It optimizes production processes by integrating IoT and cloud technologies. P.13.18 1
O6 Installs IoT and related sensors. P.15.7 1,7
O7 It ensures data communication and security in IoT-based production systems. P.15.8 1
O8 Implements data transmission protocols (MQTT, CoAP, etc.). P.15.9 1,7
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Concept and historical development of the Internet of Things (IoT)
2 IoT system architecture: layers and components
3 Sensor networks and data collection methods
4 Device connectivity and addressing mechanisms in IoT
5 Wireless communication technologies and IoT protocols
6 Data transmission, storage, and cloud-based communication
7 Cloud computing architecture and service models
8 IoT–Cloud interaction: data synchronization and management
9 IoT security and authentication methods
10 Big Data and data analytics concepts
11 Analysis and visualization of IoT data
12 Industrial IoT (IIoT) and manufacturing applications
13 Integration of MES, SCADA, and IoT systems
14 Digital twins, traceability, and smart manufacturing scenarios
Textbook or Material
Resources The Internet of Things, Samuel Greengard
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Homework 1 20 (%)
Presentation - -
Projects - -
Quiz - -
Midterms 1 30 (%)
Final Exam 1 50 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 0 0 0
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 0 0 0
Midterms 0 0 0
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 0 0 0
Other 0 0 0
Total Work Load: 0
Total Work Load / 30 0
Course ECTS Credits: 0
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P4 P11 P13 P15
O1 Explains the architecture and components of IoT systems. 4 - - - -
O2 Creates a cloud-based monitoring and control interface. - 4 - - -
O3 It ensures security and data integrity in IoT systems. - 4 - - -
O4 It transfers and saves sensor data to the cloud environment. - - 4 - -
O5 It optimizes production processes by integrating IoT and cloud technologies. - - - 4 -
O6 Installs IoT and related sensors. - 4 - - -
O7 It ensures data communication and security in IoT-based production systems. - 4 - - -
O8 Implements data transmission protocols (MQTT, CoAP, etc.). - - - - 4