| School/Faculty/Institute | Graduate School | ||||
| Course Code | ITC 531 | ||||
| Course Title in English | Internet of Things | ||||
| Course Title in Turkish | Internet of Things | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Intermediate | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 188 hours per semester | ||||
| Number of Credits | 7.5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Graduate Students | ||||
| Overall Educational Objective | To learn and design the different aspects of the IoT, including end devices, networks, programming, and security and privacy implications. | ||||
| Course Description | The Internet of Things (IoT) is expanding at a rapid rate, and it is becoming increasingly important for professionals to understand what it is, how it works, and how to harness its power to improve business. This course will enable learners to design IoT-related functions. In the course, we will examine the concept of IoT. We will look at the ‘things’ that make up the Internet of Things, including how those components are connected together, how they communicate, and how they value add to the data generated. We will also examine cybersecurity and privacy issues, and highlight how IoT can optimize processes and improve efficiencies in your business. | ||||
| Course Description in Turkish | Nesnelerin İnterneti (IoT) hızlı bir şekilde genişliyor ve IoT’nin ne olduğunu, nasıl çalıştığını ve iş geliştirme gücünü nasıl kullanabileceğinin anlaşılması giderek önem kazanıyor. Bu ders, öğrencilerin IoT projeleri dizayn edebilmesini sağlayacaktır. Derste IoT ile ilgili kavramları inceleyeceğiz. Bu bileşenlerin nasıl birbirine bağlandıkları, nasıl iletişim kurdukları ve üretilen verilere katma değerlerinin nasıl olduğu da dahil olmak üzere Nesnelerin İnterneti'ni oluşturan olguları ele alacağız. Ayrıca, siber güvenlik ve gizlilik konularını da inceleyeceğiz ve IoT'nin işletmedeki süreçleri nasıl optimize edebileceğini ve verimliliği artırabileceğini vurgulayacağız. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Identify basic IoT problems and generate IoT designs that satisfy the requirement of the IoT cases 2) Compare different IoT network systems, and design the basic network ideas 3) Implement software solutions and Big Data architectures for IoT designs 4) Identify and analyse IoT security and privacy risks 5) Produce a complete IoT prototype concept design |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications. | |||||
| 2) An ability to apply scientific and practical knowledge in statistics, computing and computer science. | |||||
| 3) A Comprehensive knowledge of analysis and modeling methods and their limitations. | |||||
| 4) An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process. | |||||
| 5) An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments. | |||||
| 6) An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities. | |||||
| 7) An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility. | |||||
| 8) An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. | |||||
| 9) An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR. | |||||
| 10) An understanding the social and environmental aspects of IT applications. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications. | H | Exam,HW |
| 2) | An ability to apply scientific and practical knowledge in statistics, computing and computer science. | H | Exam,Project |
| 3) | A Comprehensive knowledge of analysis and modeling methods and their limitations. | S | Presentation |
| 4) | An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process. | N | |
| 5) | An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments. | N | |
| 6) | An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities. | N | |
| 7) | An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility. | N | |
| 8) | An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. | N | |
| 9) | An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR. | N | |
| 10) | An understanding the social and environmental aspects of IT applications. | N |
| Prepared by and Date | , |
| Course Coordinator | İLKER BEKMEZCİ |
| Semester | Spring |
| Name of Instructor | Prof. Dr. İLKER BEKMEZCİ |
| Week | Subject |
| 1) | Introduction |
| 2) | Basic IoT Design Considerations and Strategies |
| 3) | Review of Basic Network Concepts |
| 4) | Wireless Communication |
| 5) | Sensor Tech/Embedded Systems and Software |
| 6) | Connectivity in IoT |
| 7) | Cloud and Big Data |
| 8) | Security in IoT |
| 9) | Prototyping |
| 10) | Home net, Structural health, Industrial IoT |
| 11) | Connected Vehicles, Smart City, Smart Buildings |
| 12) | Agriculture, Transportation, Cold Chains |
| 13) | Project Presentations |
| 14) | Project Presentations |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Required: Internet of Things and Data Analytics Handbook, Hwaiyu Geng, Wiley Press, 1st Edition, 2017 Recommended: Internet of Things A to Z Technologies and Applications, Wiley Press, 2018. | |||||||||||||||
| Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique | |||||||||||||||
| Homework and Projects | A whole stack IoT project design (sensors, microprocessors, gateways, clouds and big data analysis) | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | None | |||||||||||||||
| Other Activities | Readings | |||||||||||||||
| Assessment Methods |
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| Course Administration |
bekmezcii@mef.edu.tr 02123953600 Academic dishonesty and plagiarism will be subject to Law on Higher Education Article 54. |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 2 | 98 | ||
| Study Hours Out of Class | 7 | 0 | 2 | 1 | 21 | ||
| Project | 1 | 20 | 1 | 21 | |||
| Quiz(zes) | 7 | 3 | 21 | ||||
| Final Examination | 1 | 25 | 2 | 27 | |||
| Total Workload | 188 | ||||||
| Total Workload/25 | 7.5 | ||||||
| ECTS | 7.5 | ||||||