Information Package / Course Catalogue
| Computer Engineering | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | COMP 468 | ||||
| Course Title in English | Introduction to Internet of Things | ||||
| Course Title in Turkish | Nesnelerin İnternetine Giriş | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Advanced | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 144 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn and design the different aspects of the IoT, including end devices, connectivity, programming, and security and privacy implications, cloud structure and big data analysis. | ||||
| Course Description | This course is about to design IoT-related functions. In the course, we will discuss IoT concepts, and we will examine all the components of an IoT structure, including the ‘things’ that make up the Internet of Things, the connectivity between the things, cloud structure, and the added values. 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 design considerations and generate IoT basic designs; 2) compare different IoT connectivity systems, and design the basic network 3) implement software solutions and Big Data architectures for IoT designs 4) produce a complete and complex IoT prototype concept design 5) present the IoT prototype work in front of the audience |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | |||||
| 2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | |||||
| 3) An ability to communicate effectively with a range of audiences | |||||
| 4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | |||||
| 5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | |||||
| 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | |||||
| 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | H | Exam,HW |
| 2) | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | H | Exam,Project |
| 3) | An ability to communicate effectively with a range of audiences | S | Presentation,Project |
| 4) | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | N | |
| 5) | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | N | |
| 6) | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | N | |
| 7) | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. | N |
| Prepared by and Date | İLKER BEKMEZCİ , April 2021 |
| Course Coordinator | İLKER BEKMEZCİ |
| Semester | Spring |
| Name of Instructor | Prof. Dr. İLKER BEKMEZCİ |
Course Contents
| 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 IoT, Structural health IoT |
| 11) | Industrial IoT , Connected Vehicles |
| 12) | Smart City, Smart Buildings |
| 13) | Smart City, Smart Buildings |
| 14) | Military Applications/Advanced wireless sensor networks |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | 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 | |||||||||||||||||||
| Computer Use | Project and lectures | ||||||||||||||||||
| Other Activities | Readings | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
bekmezcii@mef.edu.tr A523 Prof. Dr. İlker Bekmezci Instructor’s office: A523 office hours: - email address: bekmezcii@mef.edu.tr Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Academic dishonesty and plagiarism: YÖK Regulations. |
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ECTS Student Workload Estimation
| 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 | 1 | 3 | 1 | 70 | ||
| Presentations / Seminar | 1 | 5 | 1 | 1 | 7 | ||
| Project | 12 | 1 | 3 | 1 | 60 | ||
| Midterm(s) | 1 | 5 | 1 | 1 | 7 | ||
| Total Workload | 144 | ||||||
| Total Workload/25 | 5.8 | ||||||
| ECTS | 6 | ||||||