General Information about the Course

Course Code:	IKU-J-316
Course Title:	Internet of Things
Course Semester:	2. Semester / Spring
Course Credits:	Theoretical Practical Credit ECTS 1 1 2 3
Language of instruction:	TR
Prerequisite of the course:	No
Ders İş Deneyimini Gerektiriyor mu?:	No
Type of course:	Non-Departmental Elective
Level of course:	Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Course Lecturer(s):	Lecturer Aytek GÜCÜYENER
Course Assistants:

Purpose and content of the course

Course Objectives:	To teach students the concept, components and technologies of the Internet of Things (IoT). To comprehend the processes of design, development and management of IoT applications.
Course Objective:	Understand the basic concepts of the Internet of Things (IoT). Recognize and use IoT devices and components.
Mode of Delivery:	Face to face

Learning Outcomes

Knowledge (Described as Theoritical and/or Factual Knowledge.)

Skills (Describe as Cognitive and/or Practical Skills.)

1) Understand and explain the concepts of the Internet of Things (IoT).

2) Recognize and use IoT devices and components.

3) Understanding IoT communication protocols and networks.

Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Course Topics

Week	Subject
Related Preparation	Pekiştirme
1)	Introduction and Basic Concepts
2)	IoT Devices and Sensors
3)	IoT Communication Protocols
4)	Data Collection and Management
5)	IoT Security
6)	IoT Applications and Industrial IoT
7)	Cloud Computing and IoT
8)	Midterm Exam and Project Studies
9)	IoT Application Development
10)	Energy Management and IoT
11)	Internet of Things and Web of Things
12)	Future IoT Trends
13)	Group Project Studies
14)	General Review and Final Project Presentations
References: Sheng, Z., Yang, S., & Yu, J. (2013). Nanotechnology-Enabled Sensors: Principles and Applications in Personalized Health. Springer Science & Business Media. Özden, B., & Yılmaz, E. (2018). Nesnelerin İnterneti: Temel Kavramlar ve Uygulamalar. Ankara: Seçkin Yayıncılık. Aydın, M., & Koçak, Z. (2019). Endüstri 4.0 ve Nesnelerin İnterneti. İstanbul: Beta Yayınları. Demir, S., & Göktürk, M. (2020). Bulut Bilişim ve Nesnelerin İnterneti: Uygulamalar ve Güvenlik. İzmir: Nobel Yayıncılık. Yıldırım, K. (2021). Nesnelerin İnterneti ve Endüstriyel Uygulamalar. İstanbul: Papatya Yayıncılık.

Ders - Program Öğrenme Kazanım İlişkisi

No Effect	1 Lowest	2 Average	3 Highest

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes

Course Teaching, Learning Methods

Q & A
Case Problem Solving/ Drama- Role/ Case Management
Laboratory
Quantitative Problem Solving
Fieldwork
Group Study / Assignment
Individual Assignment
WEB-based Learning
Internship
Practice in Field
Project Preparation
Report Writing
Seminar
Supervision
Social Activity
Occupational Activity
Occupational Trip
Application (Modelling, Design, Model, Simulation, Experiment et.)
Reading
Thesis Preparation
Field Study
Student Club and Council Activities
Other
Logbook
Interview and Oral Conversation
Research
Watching a movie
Bibliography preparation
Oral, inscribed and visual knowledge production
Taking photographs
Sketching
Mapping and marking
Reading maps
Copying textures
Creating a library of materials
Presentation

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance		% 0
Laboratory		% 0
Application		% 0
Practice Exam		% 0
Quizzes		% 0
Homework Assignments		% 0
Presentation		% 0
Project		% 0
Special Course Internship (Work Placement)		% 0
Field Study		% 0
Article Critical		% 0
Article Writing		% 0
Module Group Study		% 0
Brainstorming		% 0
Role Playing + Dramatizing		% 0
Out of Class Study		% 0
Preliminary Work, Reinforcement		% 0
Application Repetition etc.		% 0
Homework (reading, writing, watching movies, etc.)		% 0
Project Preparation + Presentation		% 0
Report Preparation + Presentation		% 0
Presentation / Seminar Preparation + Presenting		% 0
Oral examination		% 0
Midterms	1	% 40
Final	1	% 60
Report Submission		% 0
Bütünleme		% 0
Kanaat Notu		% 0
Committee		% 0
Yazma Ödev Dosyası		% 0
Portfolio		% 0
Take-Home Exam		% 0
Logbook		% 0
Discussion		% 0
Participation		% 0
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Calculation of Workload and ECTS Credits

Activities	Number of Activities	Workload
Course Hours	14	28
Laboratory
Application
Practice Exam
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class	4	8
Article Critical
Article Writing
Module Group Study	6	6
Brainstorming
Role Playing + Dramatizing
Out-of-Class Study (Pre-study, Reinforcement, Practice Review, etc.)	14	27
Homework (reading, writing, watching movies, etc.)
Project Preparation + Presentation	7	14
Report Preparation + Presentation
Presentation / Seminar Preparation + Presenting
Oral examination
Preparing for Midterm Exams	4	16
MIDTERM EXAM (Visa)	1	1
Preparing for the General Exam	4	16
GENERAL EXAM (Final)	1	1
Participation
Discussion
Portfolio
Take-Home Exam
Logbook
Total Workload		117
ECTS (30 saat = 1 AKTS )		3