• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Introduction to radar and sonar systems. Gaining basic knowledge for studies related to sensor systems.

   Contribution to Program Outcomes

   1. To gain in-depth knowledge about the sensor systems utilized in military applications.
   2. To gain insight and experience about the solution approaches to the technical problems encountered in projects.
   3. To analyze the sensor data and extract information from them.
   4. To enroll in and contribute to the R&D projects.
   5. Be aware of the importance of nanoscience and nanoengineering in understanding the working principles of the new generation nano devices.

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Seminar/presentation
   4. Term paper
2. Teaching beamforming, target detection, and tracking algorithms.

   Contribution to Program Outcomes

   1. To gain in-depth knowledge about the sensor systems utilized in military applications.
   2. To enroll in and contribute to the R&D projects.
   3. To understand the basic principles and applications of new tools and / or software required for thesis work.

   Method of assessment

   1. Written exam
   2. Homework assignment
   3. Seminar/presentation
   4. Term paper
3. Teaching the theoretical knowledge of system operations and their coding skills.

   Contribution to Program Outcomes

   1. Acquire scientific knowledge.
   2. Present and defence the research outcomes at seminars and conferences
   3. Demonstrating professional and ethical responsibility.

   Method of assessment

   1. Homework assignment
   2. Seminar/presentation
   3. Term paper

Contents
Week 1:	Explaining the terminology in radar and sonar technologies.
Week 2:	Active radar and sonar equations.
Week 3:	Passive radar and sonar equations.
Week 4:	Sampling.
Week 5:	Doppler effect. Ambiguity functions.
Week 6:	Signal detection in passive and active systems.
Week 7:	Midterm exam. Beamforming in the time domain.
Week 8:	Beamforming in the frequency domain. Beamforming using interpolation.
Week 9:	Super-resolution beamforming.
Week 10:	Acoustic vector sensors.
Week 11:	DEMON analysis. Wake detection.
Week 12:	Target tracking filters.
Week 13:	Multi-static radars.
Week 14:	Project presentations.
Week 15*:	-
Week 16*:	-
Textbooks and materials:
Recommended readings:	Sonar Signal Processing, Nielsen, 1990
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	7	20
Other in-term studies:		0
Project:	14	25
Homework:	3,5,8,10,12	25
Quiz:		0
Final exam:	16	30
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):
Own studies outside class:
Practice, Recitation:
Homework:
Term project:
Term project presentation:
Quiz:
Own study for mid-term exam:
Mid-term:
Personal studies for final exam:
Final exam:
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)