Master of Science in Smart Systems Engineering

Internet of Things and Industry 4.0(ISI 542)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
ISI 542 Internet of Things and Industry 4.0 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Elective
Course Level Masters Degree
Course Instructor(s) Özgün PINARER opinarer@gsu.edu.tr (Email)
Assistant
Objective • Presents the basic principles of "Wireless Communication" from an academic and engineering perspective.
• It conceptually and analytically reveals the differences and similarities between the Internet of Things and its predecessor technologies (WSN, M2M, CPS).
• It aims to convey Internet of Things design principles from an application perspective.
• It conveys the engineering trade-offs behind the approaches that provide the Internet of Things technological infrastructure.
• It provides the necessary opportunities for students to internalize the concepts and experimental methods presented in the course through multi-stage projects and assignments.
Content Week 1: Introduction to the concept of Internet of Things. Possible application areas. Understanding domain-specific requirements and design criteria.

Week 2: Comparison of Internet of Things and traditional networks: Energy awareness and application addiction

Week 3: Node Features: node hardware, Operating systems, detection modes

Week 4: Self-structuring, topology control and repositioning

Week 5: Network architecture design for the Internet of Things

Week 6: Common access layer in Internet of Things systems, Routing approaches

Week 7: Node management framework approaches

Week 8: Midterm

Week 9: Positioning and Time coordination techniques

Week 10: Standards and open source software in the Internet of Things

Week 11: Performance evaluation of IoT-based systems through simulation experiments

Week 12: Industrial case study

Week 13: Advanced topics: E-health applications

Week 14: Advanced topics: Industry 4.0
Course Learning Outcomes Students who successfully complete this course:
LO 1: Interpret the effects of wireless communication physical models on communication protocols.
LO 2: Design the necessary tests for performance evaluation of Internet of Things based systems.
LO 3: Analyze the effect of Internet of Things design components on the result.
LO 4: Will be able to run experiments designed for numerical representation of the performance of Internet of Things systems using simulation tools.
LO 5: Analyze the features of the wide application space envisaged for the Internet of Things.
Teaching and Learning Methods Oral presentation, discussion, Q/A
References - Course Notes
-BAHGA, Arshdeep; MADISETTI, Vijay. Internet of Things: A hands-on approach. Vpt, 2014. (Auxiliary Resource)
- Dargie, W., Poellabauer, C. “Fundamentals of Wireless Sensor Networks: Theory and Practice (Wireless Communications and Mobile Computing)”, 1/e, Wiley, 2010 (Auxiliary Resource)
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction to the concept of Internet of Things. Possible application areas. Understanding domain-specific requirements and design criteria.
2 Comparison of Internet of Things and traditional networks: Energy awareness and application addiction
3 Node Features: node hardware, Operating systems, detection modes
4 Self-structuring, topology control and repositioning
5 Network architecture design for the Internet of Things
6 Multiple access layer in Internet of Things systems, Routing approaches
7 Node management framework approaches
8 Midterm
9 Positioning and Time coordination techniques
10 Standards and open source software in the Internet of Things
11 Performance evaluation of IoT-based systems through simulation experiments
12 Industrial case study
13 Advanced topics: E-health applications
14 Advanced topics: Industry 4.0
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 5 60
Contribution of final exam to overall grade 1 40
Toplam 6 100
In-Term Studies
  Number Contribution
Assignments 2 15
Presentation 1 10
Midterm Examinations (including preparation) 1 20
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 1 15
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 5 60
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 13 3 39
Assignments 2 12 24
Presentation 1 10 10
Midterm Examinations (including preparation) 1 20 20
Final Examinations (including preparation) 1 25 25
Term Paper/ Project 1 30 30
Total Workload 148
Total Workload / 25 5,92
Credits ECTS 6
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