Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / BLM415 - DEPARTMENT OF COMPUTER ENGINEERING

Code: BLM415 Course Title: INTERNET OF THINGS Theoretical+Practice: 3+0 ECTS: 4
Year/Semester of Study 4 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department DEPARTMENT OF COMPUTER ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer NUH AZGINOĞLU (nuh@nevsehir.edu.tr)
Name of Lecturer(s) SEMA ATASEVER,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To be able to have information about the architecture of the Internet of Things (IoT), protocol, usage areas and to develop IoT based applications.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Recognizes the internet of things PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-6 Students gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-10 Students will have information about operating systems.
PO-11 Students will be able to perform database setup, maintenance and check.
PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-2 Knows the Internet of Things business models and application areas PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-6 Students gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-10 Students will have information about operating systems.
PO-11 Students will be able to perform database setup, maintenance and check.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
Examination
LO-3 Recognizes and uses the Internet of Things communication technologies and protocols PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-6 Students gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-10 Students will have information about operating systems.
PO-11 Students will be able to perform database setup, maintenance and check.
PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
Examination
LO-4 Knows big data processing techniques on the internet of things PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-6 Students gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-10 Students will have information about operating systems.
PO-11 Students will be able to perform database setup, maintenance and check.
PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-5 Develops internet-based application of things PO-4 Students gain the ability to apply knowledge of mathematics, science and engineering.
PO-5 Students gain the ability to define, model, formulate and solve general engineering problems.
PO-6 Students gain the ability to solve real life learning, inference, optimization, estimation, classification and recognition problems with artificial intelligence.
PO-7 Students gain the ability to identify, define, formulate and solve problems specific to Computer Engineering.
PO-8 Students will able to develop the program by using the basic concepts of software.
PO-9 Students will have knowledge and skills about basic computer hardware, software and system security.
PO-10 Students will have information about operating systems.
PO-11 Students will be able to perform database setup, maintenance and check.
PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-18 Students will able to create graphics and animations using data.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
195/5000 Internet of things, Difference between internet and machine communication, IoT communication technologies and applications, IoT communication protocols and applications, IoT and big data.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Internet of Things (IoT) Overview Explaining, Question-Answer, Problem Solving, Practice
2 Internet of Things Business Models Explaining, Question-Answer, Problem Solving, Practice
3 Internet of Things Architecture and Components Explaining, Question-Answer, Problem Solving, Practice
4 Internet of Things Cloud Platforms Explaining, Question-Answer, Problem Solving, Practice
5 Assistive Technologies Used to Develop IoT Applications (RFID, NFC, BLE Beacon, WSN, GSM etc.) Explaining, Question-Answer, Problem Solving, Practice
6 Assistive Technologies Used to Develop IoT Applications (RFID, NFC, BLE Beacon, WSN, GSM etc.) Explaining, Question-Answer, Problem Solving, Practice
7 78/5000 IoT Communication / Messaging Protocols (Restful, CoAP, MQTT, DDS, AMQP etc.) Explaining, Question-Answer, Problem Solving, Practice
8 mid-term exam
9 78/5000 IoT Communication / Messaging Protocols (Restful, CoAP, MQTT, DDS, AMQP etc.) Explaining, Question-Answer, Problem Solving, Practice
10 IoT Application Development Explaining, Question-Answer, Problem Solving, Practice
11 Security in the Internet of Things Explaining, Question-Answer, Problem Solving, Practice
12 Internet of Things and Big Data Explaining, Question-Answer, Problem Solving, Practice
13 Internet of Things and Big Data Explaining, Question-Answer, Problem Solving, Practice
14 Internet of Things and Cloud Computing Explaining, Question-Answer, Problem Solving, Practice
15 Internet of Things and Cloud Computing Explaining, Question-Answer, Problem Solving, Practice
16 final exam
Recommend Course Book / Supplementary Book/Reading
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.
Required Course instruments and materials
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.

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 13 4 52
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 12 1 12
mid-term exam 1 1 1
Own study for final exam 12 1 12
final exam 1 1 1
0
0
Total work load; 120