Course Name Code Semester T+U Hours Credit ECTS
Internet Of Things and Applications BSM 313 5 3 + 0 3 4
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Doç.Dr. CÜNEYT BAYILMIŞ
Course Lecturers Doç.Dr. CÜNEYT BAYILMIŞ, Dr.Öğr.Üyesi MURAT İSKEFİYELİ,
Course Assistants
Course Category
Course Objective

The aim of this course is to provide information about architecture, protocol and usage areas of internet of things (IoT) and also develop IoT based applications . 

Course Content

Internet of Things (IoT), difference between Machine-to-Machine Communication, and IoT, IoT communication technologies and applications, IoT communication protocols and applications, IoT and big data, Project presentation

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Know internet of things Lecture, Question-Answer, Testing, Oral Exam,
2 Know application areas and business models of IoT Lecture, Question-Answer, Testing, Oral Exam,
3 Use and know protocols with communication technologies of IoT Lecture, Demonstration, Motivations to Show, Lab / Workshop, Project Based Learning, Testing, Homework, Project / Design,
4 Know big data processing techniques in IoT Lecture, Question-Answer, Demonstration, Project Based Learning, Testing, Oral Exam, Homework,
5 Develop IoT based applications Lecture, Project Based Learning, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Overview of Internet of Things
2 IoT Business Models
3 Components and Architecture of IoT
4 IoT Cloud Platforms
5 Enabling Technologies Used To Develop IoT Application
6 Enabling Technologies Used To Develop IoT Application (RFID, NFC, BLE Beacon, WSN, GSM etc.)
7 IoT Communication/Messaging Protocols (Restful, CoAP, MQTT, DDS, AMQP etc.)
8 IoT Communication/Messaging Protocols (Restful, CoAP, MQTT, DDS, AMQP etc.)
9 IoT Application Development
10 Security of Internet of Things
11 IoT and Big Data
12 IoT and Cloud Computing
13 Project Presentations
14 Project Presentations
Resources
Course Notes
Course Resources

1. F. Mattern and C. Floerkemeir, “From the Internet of Computers to the Internet of Things”, From Active Data Management to Event-Based Systems and More, Lecture Notes in Computer Science, Vol. 6462, pp. 242-259, 2010.

2. A. Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash,  “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications”, IEEE Communication Survey&Tutorials, vol. 17 (4), 2347-2376 ,2015.

3. L. Atzori, A. Iera, G. Morabito, “The Internet of Things: A Survey”,  Computer Networks, vol. 54, 2787-2805, 2010.

4. P. Waher, “Learning internet of things”, Packt Publishing, 2015.

5. K. Sohraby, D. Minoli, T. Znati. “Wireless Sensor Networks: Technology, Protocols, and Applications”. Wiley-Interscience. 2007

Week Documents Description size
14 13_IoT_Güvenlik 0.99 MB
6 6_ Beacon 1.93 MB
7 7_ WSN 2.12 MB
5 5_RFID_NFC 2.36 MB
5 3_2_Firebase_AppInventor2_GenelKullanim 2.44 MB
5 4_1_NFC_1 1.31 MB
9 9_IoT_Protocols_REST_SOAP_XMPP 2.13 MB
9 1_REST_post_Thingspeak 0.5 MB
10 mqtt_book 0 MB
10 1_Mqtt_Adafruit 0.6 MB
10 10_IoT_Protocols_CoAP_MQTT_DDS_AMQP 3.1 MB
11 11_IoT_BigData_Cloud 1.48 MB
12 12_IoT İş Modelleri 2.16 MB
11 11_IoT_BigData_Cloud 1.48 MB
0 GerekliEkipmanYazılımlar 0.16 MB
0 0_IoT Ders Tanıtım 0.65 MB
1 1_IoT Genel Bakış 13.73 MB
2 2_IoT_Mimarisi_Bilesenler 5 MB
3 3_ Arduino_NodeMCU 2.53 MB
3 3_1_Blynk_ESP8266_LED Blynk IoT Uygulama Föyü 1.07 MB
0 0_IoT Ders Tanıtım 0.63 MB
4 4_ WiFi_ESP8266 1.22 MB
4 Esp_wifiManager 1.06 MB
4 6_Thingspeak_Genel 1.02 MB
8 8_1_ MobilTeknolojiler 1.15 MB
8 8_ 2_LRWPAN 0.53 MB
8 GSM_Genel 0.99 MB
8 GSM_Thingspeak 0.8 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Proje / Tasarım 30
1. Kısa Sınav 10
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 15 15
Oral Examination 1 5 5
Project / Design 2 15 30
Total Workload 114
Total Workload / 25 (Hours) 4.56
dersAKTSKredisi 4