COURSE SYLLABUS

DIGITAL SIGNAL PROCESSING APPLICATIONS

1	Course Title:	DIGITAL SIGNAL PROCESSING APPLICATIONS
2	Course Code:	EEM4434
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	4
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	2
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. ERSEN YILMAZ
16	Course Lecturers:	Prof. Dr. Erdoğan Dilaveroğlu
17	Contactinformation of the Course Coordinator:	Doç. Dr. Ersen Yılmaz E-mail:ersen@uludag.edu.tr Phone: (224) 294 2032 Address: Elektronik Mühendisliği Bölümü 4. Kat, No:431
18	Website:
19	Objective of the Course:	Using the fundamental tools and techniques of digital signal processing, to realize the solutions of important problems in the Matlab and to enable students to use Matlab efficiently as a tool.
20	Contribution of the Course to Professional Development	To be able to follow innovations and apply them in the field by using the competence of collecting information, researching and analyzing them.

Learning Outcomes:

1	To be able to model and solve digital signal processing problems using toerical and practical knowledge;
2	Gain the ability to design and conduct complex experiments and to collect, analyze and interpret data for digital signal processing engineering problems;
3	Attain the ability to design partly or fully for a complex digital signal processing system, process meeting specific requirements under realistic constraints and conditions. ;
4	To be able to develop, select, and use modern techniques and tools efficiently using information technologies for digital signal processing applications;
5	Gain the ability to identify, model, and solve complex engineering problems to select and apply appropriate analysis and modelling methods for digital signal processing problems.;

22	Course Content:

23	Textbooks, References and/or Other Materials:	1. S.K. Mitra, Digital Signal Processing Laboratory using Matlab, McG Hill, 2000. 2. T.S. Elali, Discrete systems and digital signal processing with MATLAB, CRC P., 2004. 3. S.D. Stearns, Digital signal processing with examples in MATLAB, CRC Pres,2003.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Measurement and evaluation is carried out according to the priciples of Bursa Uludag University Associate and Undergraduate Education Regulation.
Information	The relative evoluation system is applied. 1 Midterm and 1 Final exams are held.

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High

Week	Theoretical	Practical
1	Discrete-Time Signals in the Time-Domain	Discrete-Time Signals in the Time-Domain (Applications)
2	Discrete-Time Systems in the Time-Domain	Discrete-Time Systems in the Time-Domain (Applications)
3	Discrete-Time Signals in the Frequency-Domain	Discrete-Time Signals in the Frequency-Domain (Applications)
4	Linear Time Invariant Discrete-Time Signals in the Frequency-Domain	Linear Time Invariant Discrete-Time Signals in the Frequency-Domain (Applications)
5	Digital Processing of Continuous-Time Signals	Digital Processing of Continuous-Time Signals (Applications)
6	Digital Filter Structures: FIR	Digital Filter Structures: FIR (Applications)
7	Digital Filter Structures: IIR	Digital Filter Structures: IIR (Applications)
8	Digital Filter Design : FIR	Digital Filter Design : FIR (Applications)
9	Digital Filter Design : IIR	Digital Filter Design : IIR (Applications)
10	Tunable Digital Filters	Tunable Digital Filters (Applications)
11	Tunable Digital Filters	Tunable Digital Filters (Applications)
12	Multirate Digital Signal Processing	Multirate Digital Signal Processing (Applications)
13	Multirate Digital Signal Processing	Multirate Digital Signal Processing (Applications)
14	Review	Review (Applications)