The course aims to introduce students to the concepts underlying the Internet of Things (IoT) through a series of lectures on the various topics that are important to understand the state-of-the-art as well as the trends for IoT. The students will be introduced to the history and evolution of IoT, as well as case studies from various industry domains. In addition, students will be required to work in teams to design, build, evaluate and test an innovative IoT system for a specific industry domain, such as sports. Students will also be required to present their innovations to their peers in class as well as to the public (at the end of the course), and will also be required to document their findings in the form of a conference-style research paper. Students will also be exposed to real-world sports technologies, to witness these technologies in action behind-the-scenes.
The lectures will be focused around industry domains (the verticals where IoT is applicable, or has been applied), platforms (the hardware or software platforms that are applicable for IoT), protocols (the communication protocols that are applicable to IoT) and services(the types of services that can layer over IoT).
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)
Professor Abdül Halim ZAİM
Course Assistant(s)
Schedule
Monday 09:00-18:00
Office Hour(s)
Tuesday 10:00-12:00
Teaching Methods and Techniques
Lecture, discussion, lab, and project
Principle Sources
The Internet of Things (The MIT Press Essential Knowledge series) Paperback – March 20, 2015 The MIT Press Essential Knowledge series Knowledge series) by Samuel Greengard
Olivier Hersent, David Boswarthick, Omar Elloumi, “The Internet of Things: Key Applications and Protocols”, Wiley-Blackwell; 2nd Edition edition, 2012.
Samuel Greengard, "The Internet of Things", MIT Press Essential Knowledge Series, 2015.
Other Sources
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to IoT
Oral Presentation
2. Week
Cyber Physical Systems and IoT
Oral Presentation
3. Week
Hardware Platforms and Sensors Technology
Oral Presentation
4. Week
Network, Routing Technologies, and Performance Issues
Oral Presentation
5. Week
Software platforms and services
Oral Presentation
6. Week
Intelligent data processing
Oral Presentation
7. Week
Semantic technologies and connecting things to the web
Oral Presentation
8. Week
Midterm
Oral Presentation
9. Week
System models, applications, physical cyber-social systems
Oral Presentation
10. Week
IoT applications
Oral Presentation
11. Week
IoT Security
Oral Presentation
12. Week
Analytics and applications
Oral Presentation
13. Week
IoT standards
Oral Presentation
14. Week
Project presentations
Oral Presentation
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Homework / Term Projects / Presentations
1
20
Final Exam
1
40
Program Outcomes
PO-1
Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2
Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3
Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4
Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5
Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6
Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7
Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8
Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9
Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10
Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11
Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1
Ability to effectively design IoT systems
LO-2
Awareness of the IoT standards
LO-3
Ability to select the software and hardware platforms to implement an IoT application
LO-4
Awareness of the intelligent data processing and semantic technologies
