RADARSIGNAL PROCESSING TECHNIQUES

STS627

Course Type

Elective Course

Course Level

Doctorate Of Science

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

To be able to model digital signal processing systems.
To carry out statistical analysis of signals, understand the probability distribution function (CDF) and the probability density function (PDF)
To gain problem solving skills for electromagnetic wave (EM) theory, EM propagation and antenna systems.
To be able to carry out the standard project management processes and to gain effective presentation skills.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

Course Contents

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	2	15
Project	1	20
Attendance	1	5
Total(%)		70
Contribution of In-term Studies to Overall Grade(%)		70
Contribution of Final Examination to Overall Grade(%)		30
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz
Individual or group work	14	9	126
Preparation for Final exam	1	49	49
Course hours	14	3	42
Preparation for Midterm exam	1	44	44
Laboratory (including preparation)
Final exam	1	2	2
Homework	1	20	20
Project	1	20	20
Total Work Load			305
Total Work Load / 30 (h)			10.16
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)