Industrial Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

ENG368

Course Name:

Wireless Networks

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Öğr.Gör. DİDEM KIVANÇ TÜRELİ

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	The main objective of this course is to provide concepts and principles of wireless networking including protocol stacks and standards with the evolution of latest wireless networks.
Course Content:	This course familiarizes students with different concepts of wireless networking including wireless channels, communication techniques, cellular communications, mobile network, and advanced features.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Identify the basic mechanisms of propagation of radio signals, explain and model the random processes which degrade this signal
2) Identify and analyze a simple queuing system.
3) Understand and describe the fundamental algorithms used for routing in wired and wireless networks.
4) Describe issues associated with mobility in wireless communication systems
5) Hücresel ağlardaki standardizasyon sürecini ve hücresel iletişimin tarihini anlar, mevcut ve eski iletişim sistemleri arasındaki bazı farklılıkları açıklayabilir.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction	None
2)	Wireless Channel Characterization	None
3)	Wireless Communication Techniques	None
4)	Fundamental of Cellular Communications	None
5)	Mobility Management in Wireless Networks	None
6)	Overview of Mobile Network and Transport Layer	None
7)	Advances in Wireless Networking	None
8)	Classical TCP improvements: Mobile TCP, Time out freezing, Selective retransmission	None
9)	Introduction to 5G and its vision	None
10)	Introduction to wireless network virtualization	None
11)	Concepts of Wireless Sensor Network & RFID	None
12)	Introduction to optical communication: Li-Fi	None
13)	Introduction to Software Defined Wireless Networks	None
14)	Concepts of Open BTS and Open Cellular Networks	None

Sources

Course Notes / Textbooks:	None
References:	None

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) A solid foundation in mathematics, natural sciences, and industrial engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.
2) The ability to identify, define, formulate, and solve complex industrial engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3) The ability to design complex industrial engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4) The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in industrial engineering applications such as production, quality, finance, and ergonomics; and the ability to effectively utilize information technologies.
5) The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex problems in industrial engineering areas such as production planning, quality, finance, and ergonomics.
6) The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with computer and mechanical engineering).
7) The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning required by industrial engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9) The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in industrial engineering practices.
10) Knowledge of project management and industrial engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the impacts of industrial engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	A solid foundation in mathematics, natural sciences, and industrial engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.	1
2)	The ability to identify, define, formulate, and solve complex industrial engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3)	The ability to design complex industrial engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4)	The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in industrial engineering applications such as production, quality, finance, and ergonomics; and the ability to effectively utilize information technologies.
5)	The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex problems in industrial engineering areas such as production planning, quality, finance, and ergonomics.
6)	The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with computer and mechanical engineering).
7)	The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning required by industrial engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9)	The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in industrial engineering practices.
10)	Knowledge of project management and industrial engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge of the impacts of industrial engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Learning Activity and Teaching Methods

Lesson
Homework
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Individual Project

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	42	% 0
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Project	1	24	24
Homework Assignments	2	16	32
Midterms	1	16	16
Final	1	24	24
Total Workload			138