Ders Planı

Lesson Information

Course Credit	3.0
Course ECTS Credit	4.0
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Programme Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	S
Course Coordinator	Assist. Prof. Dr. NECİP GÖKHAN KASAPOĞLU
Instructor (s)	Assist. Prof. Dr. NECİP GÖKHAN KASAPOĞLU
Course Assistant

Purpose and Content

The aim of the course	-Students will be able to demonstrate their understanding of fundamental discrete-time signal and system concepts. -Students will be able to interpret Fourier analysis of periodic and aperiodic discrete-time signals with an extension to z-transform. -Students will be able to understand sampling, reconstruction and rate conversion concepts for sequences and analyze such systems with processing modules. -Students will be able to interpret transform domain behavior of discrete-time systems with emphasis on their frequency response. -Students will be able to formulate a solution for designing discrete-time filters based on some constraints using different structures.
Course Content	.Discrete-time signals and systems. Discrete Fourier transform. Sampling and reconstruction. Linear time-invariant systems. Structures for discrete-time systems. Filter design techniques. Fast Fourier Transform methods. Fourier analysis of signals using discrete Fourier transform. Optimal filtering and linear prediction.

The aim of the course

-Students will be able to demonstrate their understanding of fundamental discrete-time signal and system concepts. -Students will be able to interpret Fourier analysis of periodic and aperiodic discrete-time signals with an extension to z-transform. -Students will be able to understand sampling, reconstruction and rate conversion concepts for sequences and analyze such systems with processing modules. -Students will be able to interpret transform domain behavior of discrete-time systems with emphasis on their frequency response. -Students will be able to formulate a solution for designing discrete-time filters based on some constraints using different structures.

Course Content

.Discrete-time signals and systems. Discrete Fourier transform. Sampling and reconstruction. Linear time-invariant systems. Structures for discrete-time systems. Filter design techniques. Fast Fourier Transform methods. Fourier analysis of signals using discrete Fourier transform. Optimal filtering and linear prediction.

Learning Outcomes

Mathematics , Science and sufficient knowledge in electrical engineering issues; theoretical and practical knowledge in the field of Electrical and Electronics Engineering the ability to apply for modeling and problem solving.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to work effectively in interdisciplinary and multidisciplinary teams; ability to work individually .
Act according to ethical , professional and ethical responsibility about the standards used in electrical and electronic engineering applications
The ability to design to meet specific needs;complex system , process, device or product under realistic constraints and conditions , the ability to apply modern design methods for this purpose .
Awareness of the necessity of lifelong learning ; Access to knowledge, science and developments in technology and continuous self -improvement.
Awareness of universal and social dimensions of health electrical engineering applications , contemporary issues and their impact on the environment and safety ; awareness of the legal consequences of engineering solutions .
Ability to communicate effectively in Turkish, both oral and written, with at least one foreign language knowledge, ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, giving clear and concise instructions and receiving skills.
Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
Analyzing and solving using modern techniques and tools for complex problems encountered in the electrical and electronics application development , selection and use of skills , skills to use ICT effectively
Designing experiments for the study of electrical engineering problems , conduct experiments, collect data , analyze and interpret the results .
Awareness about occupational health and safety
Development and scientific publications of conciousness can be followed in the electrical and electronics engineering. Developed will be able to access the resources that it can meet the education requirements for the new system awareness.

Weekly Course Subjects

1	.Introduction to DSP processors
2	.Architecture of Texas Instruments C6000 DSP processor
3	.Software development tools. Code Composer Studio (CCS) integrated development environment (IDE)
4	.TI C6000 DSP instruction set and assembly programming. Linear assembly programming
5	.Mixed C/C++ and assembly language programming
6	.Interrupts. Multichannel serial port (McBSP) and DMA peripherals
7	.Signals and Systems
8	Midterm
9	.FIR filters. Circular buffer addressing.
10	.Fourier transform and FFT
11	.Adaptive filters and echo cancellation
12	.Texas Instruments DSP/BIOS real-time operating system
13	.BIOS schedular and multithreating
14	.Other DSP applications

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

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