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Course Description Course Name : Digital Signal Processing Course Code : EEE409 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Asst.Prof.Dr. SAMİ ARICA Learning Outcomes of the Course : Describe and analyze discrete time signals in the time domain and frequency domain. Apply digital signal processing techniques to analyze discrete time signals and systems Apply digital signal processing techniques to design discrete time systems. Design and apply digital filters. Solve digital signal processing problems using Matlab. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Analysis and representation methods and techniques for digital (discrete) signals and systems are introduced. Course Contents : Sampling and reconstruction. Introduction to discrete time signals and systems. Linear time invariant (LTI) systems; convolution sum. Discrete transforms; DFT, FFT, DCT, DCT. Z-transform and applications. Transform domain analysis of LTI systems. Finite impulse response digital filter design. Infinite impulse response digital filter design. Digital Signal Processors. Digital signal processing applications. Language of Instruction : English Work Place : Department of Electrical and Electronics engineering building classrooms.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Sampling and reconstruction. Textbook reading/Problem solving. Lecture. 2 Discrete time signals and systems: classifications and properties. Textbook reading/Problem solving. Lecture. 3 Linear time invariant systems: convolution sum. Textbook reading/Problem solving. Lecture. 4 LTI-causal systems described by linear constant coefficient difference equations. Textbook reading/Problem solving. Lecture. 5 Discrete transforms: DFT, FFT, DCT and DST. Textbook reading/Problem solving. Lecture. 6 Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. Textbook reading/Problem solving. Lecture. 7 Z-transform and applications. Textbook reading/Problem solving. Lecture. 8 Midterm Exam. I. Textbook reading/Problem solving. Written exam. 9 Z-transform and applications (continued). Textbook reading/Problem solving. Lecture. 10 Transform domain analysis of LTI systems. Textbook reading/Problem solving. Lecture. 11 Transform domain analysis of LTI systems (continued). Textbook reading/Problem solving. Lecture. 12 Midterm Exam. II. Finite impulse response digital filter design. Assigment II. Textbook reading/Problem solving. Written exam. Lecture. 13 Infinite impulse response digital filter design. Assigment III. Textbook reading/Problem solving. Lecture. 14 Digital Signal Processors. Textbook reading/Problem solving. Lecture. 15 Digital signal processing applications. Assigment IV. Textbook reading/Problem solving. Lecture. 16/17 Final Exam. Textbook reading/Problem solving. Written exam.   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Digital Signal Processing. John G. Proakis and Dimitris G. Manolakis. 2007. Pearson Prentice Hall.  Signals and Systems. Alan V. Oppenheim. 1997. Prentice Hall.  Digital Signal Processing. Murat Kunt. 1986. Artech House.  Digital Signal Processing. A Computer-Based Approach. 1998. Sanjit K. Mitra.McGraw-Hill.  Discrete-Time Signal Processing, 3/E. 2010. Alan V. Oppenheim and. Ronald W. Schafer. Pearson Prentice Hall.  Mathematical Principles of Signal Processing. 2002. Pierre Bremaud. Springer-Verlag, New York. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 65     Homeworks/Projects/Others 4 35 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Has capability in those fields of mathematics and physics that form the foundations of engineering. 5 2 Grasps the main knowledge in the basic topics of electrical and electronic engineering. 5 3 Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering. 4 4 Identifies problems and analyzes the identified problems based on the gathered professional knowledge. 4 5 Formulates and solves a given theoretical problem using the knowledge of basic engineering. 4 6 Has aptitude for computer and information technologies 4 7 Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English. 4 8 Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices. 4 9 Has the ability to write a computer code towards a specific purpose using a familiar programming language. 4 10 Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared. 3 11 Has the aptitude to identify proper sources of information, reaches them and uses them efficiently. 3 12 Becomes able to communicate with other people with a proper style and uses an appropriate language. 0 13 Internalizes the ethical values prescribed by his profession in particular and by the professional life in general. 0 14 Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. 0 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 5 70     Out of Class Study (Preliminary Work, Practice) 16 2 32 Assesment Related Works     Homeworks, Projects, Others 4 2 8     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 114 Total Workload / 25 (h): 4.56 ECTS Credit: 5