Master of Science in Computer Engineering

Internet of Things(INF 535)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
INF 535 Internet of Things 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Compulsory
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
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Contribution to Overall Grade
  Number Contribution
Toplam 0 0
In-Term Studies
  Number Contribution
Toplam 0 0
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Total Workload 0
Total Workload / 25 0,00
Credits ECTS 0
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