MTH 403 Next Generation Mobile Network TechnologiesMEF UniversityDegree Programs Electrical and Electronics EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Electrical and Electronics Engineering
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Engineering
Course Code MTH 403
Course Title in English Next Generation Mobile Network Technologies
Course Title in Turkish Yeni Nesil Mobil Ağ Teknolojileri
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Select
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: 3 Lab: - Other: -
Estimated Student Workload 150 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 301 - Introduction to Analog and Digital Communication Systems
Co-requisites None
Expected Prior Knowledge Prior knowledge in communication systems is expected.
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the fundamentals of new generation mobile network technologies
Course Description This course aims to provide a comprehensive study of mobile network technologies. Course content includes basic modulation and channel coding, 5G networks, MIMO systems, eMBB, mMTC, uRLLC concepts, non-terrestrial networks, 6G drivers, multiple dimensional antenna techniques for 6G and native AI concept in 6G.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) formulate channel models for wireless communication systems;
2) design 5G networks;
3) apply advanced accessing and wave guiding techniques for 6G systems;
4) apply AI and machine learning in mobile networks.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics H Exam
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors H Exam
3) An ability to communicate effectively with a range of audiences N
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts N
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives N
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions N
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies N
Prepared by and Date EGEMEN BİLGİN , February 2026
Course Coordinator EGEMEN BİLGİN
Semester Fall
Name of Instructor

Course Contents

Week Subject
1) Trends in mobile communication, introduction to wireless communication
2) Channel models, fading, access techniques
3) Need for 5G, standardization bodies in mobile communication
4) New use cases, connected industries private networks
5) New use cases, connected industries private networks
6) Network evolution, network slicing, edge computing
7) Network evolution, network slicing, edge computing
8) 5G core and radio access network
9) 5G core and radio access network
10) 6G drivers, enablers, uses, and roadmap
11) 6G drivers, enablers, uses, and roadmap
12) New spectrum technologies, terahertz technologies and systems for 6G
13) New spectrum technologies, terahertz technologies and systems for 6G
14) New spectrum technologies, terahertz technologies and systems for 6G
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended Readings--
Teaching MethodsContact hours using “Flipped Classroom” as an active learning technique
Homework and Projects-
Laboratory Work-
Computer Use-
Other Activities-
Assessment Methods
Assessment Tools Count Weight
Midterm(s) 1 % 50
Final Examination 1 % 50
TOTAL % 100
Course Administration -
-
-Instructor’s office and phone number: office hours: TBA ; email address: Rules for attendance: - Late Policy: Late assignments will NOT be accepted. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. Passing the course: In order to pass the course, the students have to complete the project assignment. There will NOT be any make-up for the project. Academic Dishonesty and Plagiarism: YÖK Disciplinary Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 3 3 84
Midterm(s) 1 30 3 33
Final Examination 1 30 3 33
Total Workload 150
Total Workload/25 6.0
ECTS 6