EEE5603 Wireless CommunicationsBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5603 Wireless Communications Spring 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. SAEID KARAMZADEH
Course Lecturer(s): Assoc. Prof. ALKAN SOYSAL
Recommended Optional Program Components: None
Course Objectives: This course aims to teach physical characteristics of wireless medium and several technologies that are specifically designed for transmission over wireless media. Specifically, the students will identify path loss, shadow fading, multi-path fading and diversity. Different wireless channel models will be introduced and their capacity will be analyzed. Students will have the knowledge of modern wireless technologies, such as multi-carrier modulation and OFDM, spread spectrum and CDMA, and multiple antenna systems.

Learning Outcomes

The students who have succeeded in this course;
1. Describe physical medium of a wireless channel,
2. Explain path loss, shadowing and multi-path fading,
3. Describe the effects of time, frequency and space diversity,
4. Gain knowledge on combining techniques,
5. Apply capacity analysis to wireless channel models,
6. Explain multi-carrier modulation and OFDM,
7. Describe the advantages of spreading the spectrum and CDMA,
8. Gain knowledge of multiple antenna systems and MIMO technology
9. Have a broad understanding of multi-user systems

Course Content

Characteristics of wireless channels, such as path loss, shadowing and fading. Different channel models and their capacity calculations. Modern wireless communication technologies.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Overview of wireless communications
2) Path loss and shadowing models
3) Statistical fading, narrowband fading
4) Wideband fading
5) Capacity of wireless channels
6) Adaptive techniques in wireless communication channels
7) Diversity and combining
8) Comparison and discussion of previously mentioned methods. Midterm
10) Multicarrier systems, OFDM
11) Spread Spectrum and CDMA
12) WCDMA and 3G systems
13) Multiple antenna systems, MIMO
14) Multi-user systems

Sources

Course Notes / Textbooks: Wireless Communications, Andrea Goldsmith, Cambridge University Press
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 1 % 30
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Project 4 50
Midterms 8 60
Final 4 48
Total Workload 200

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.