ENG368 Wireless NetworksIstanbul Okan UniversityDegree Programs Industrial Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Engineering (English)
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: EN
Course Requisites:
Does the Course Require Work Experience?: No
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): Assoc. Prof. ÖMER CİHAN KIVANÇ
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) Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems.
2) Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.)
4) Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies.
5) Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems.
6) Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering).
7) Ability to communicate effectively in written and oral form in both Turkish and English.
8) Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself.
9) Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession.
10) Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; awareness of the legal consequences 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) Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems. 1
2) Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.)
4) Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies.
5) Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems.
6) Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering).
7) Ability to communicate effectively in written and oral form in both Turkish and English.
8) Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself.
9) Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession.
10) Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; awareness of the legal consequences 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