ECTS - Applications of Communications and Signal Processing

Applications of Communications and Signal Processing (EE572) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Applications of Communications and Signal Processing EE572 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Ali Kara
Course Assistants
Course Objectives The aim of this course is to provide fundamental principles and techniques in communication and signal processing applications, and a research experience to students.
Course Learning Outcomes The students who succeeded in this course;
  • describe some recent research subjects (techniques, methods and/or approaches) on communications and signal processing
  • describe, at least, one of those subjects and discuss its impact on practical applications
  • prepare a comprehensive (standard formatting) paper for a required topic
  • give a seminar on the subject, and/or a standard conference presentation
Course Content Selected topics from the areas of communications and signal processing including mobile/radio communications and signal processing techniques, information/communication systems, radio transmissions systems, signal processing techniques and algorithms in radars, information and electronic intelligence.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introducing the course, and operation of communication systems Study lecture materials related to the topic
2 Review of communication signals and systems-1 Study the lecture notes
3 Review of communication signals and systems-2 Study the lecture notes
4 Review of communication signals and systems-3 Study the lecture notes
5 Review of communication signal analysis: probability and stochastics processes and their computer applications-1 Study the lecture notes
6 Review of communication signal analysis: probability and stochastics processes and their computer applications-2 Study the lecture notes
7 Noise and channel effects, and receiver signal processings: computer applications-1 Study the lecture notes
8 Noise and channel effects, and receiver signal processings: computer applications-2 Study the lecture notes
9 Midterm examination Study the lecture notes and computer assignments
10 Project topic description and literature survey Upload your project topic and its description form to "e.atilim"
11 Gruop working regarding with the research topic: How to read an article? Writing one page review about a paper Ödevi yapınız ve sisteme yükleyiniz
12 Project assignment: reporting and presentions-1 Ödevi yapınız ve sisteme yükleyiniz
13 Project assignment: reporting and presentions-2 Ödevi yapınız ve sisteme yükleyiniz
14 Project assignment: reporting and presentions-3 Ödevi yapınız ve sisteme yükleyiniz
15 Review of topics Study the lecture notes
16 Final examination period Study the lecture notes

Sources

Course Book 1. No particular course book determined. It may change with the subject chosen, and semestre.(Dersin kitabı olmayıp, seçilen konuya göre farklı kaynaklar kullanılmaktadır)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics 5 15
Homework Assignments 5 10
Presentation - -
Project 1 25
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 13 100
Percentage of Semester Work 70
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 5 5 25
Quizzes/Studio Critics 5 5 25
Prepration of Midterm Exams/Midterm Jury 1 8 8
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 126