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
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4
Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5
Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9
Awareness of professional and ethical responsibility.
PO-10
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences 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
