Ders Planı

Lesson Information

Course Credit
Course ECTS Credit
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
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
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Purpose and Content

The aim of the course	Successful students are expected to gain the following abilities: Knowledge of basic mathematical analysis and signal processing methods, processing of signals both in time and frequency domains.
Course Content	Discrete-time signals and systems. Difference equation representation. Sampling, decimation, interpolation. Review of the Z-transform. Transform analysis of linear, time-invariant systems. Structures for discrete-time systems. Effects of quantization. Infinite impulse response (IIR) and finite impulse response (FIR) filter design techniques. The discrete Fourier series, the discrete Fourier transform and Fast Fourier transform. Intoduction to two dimensional signals and systems.

The aim of the course

Successful students are expected to gain the following abilities: Knowledge of basic mathematical analysis and signal processing methods, processing of signals both in time and frequency domains.

Course Content

Discrete-time signals and systems. Difference equation representation. Sampling, decimation, interpolation. Review of the Z-transform. Transform analysis of linear, time-invariant systems. Structures for discrete-time systems. Effects of quantization. Infinite impulse response (IIR) and finite impulse response (FIR) filter design techniques. The discrete Fourier series, the discrete Fourier transform and Fast Fourier transform. Intoduction to two dimensional signals and systems.

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	Review of Discrete-time signals, systems, Fourier, Z-tr.
2	Sampling, Decimation, Interpolation.
3	Diffrence Equation Representation, Frequency Response.
4	Relation Between Magnitude and Phase, Inverse systems, All-pass Systems.
5	Flow Graph Realization.
6	Quantization
7	Analog Butterworth and Chebyshev Filter Design.
8	Midterm
9	Digital Butterworth and Chebyshev Filter Design, FIR Filter Design
10	Discrete-time Fourier Series, DFT, Properties of DFT.
11	Convolution with DFT (Overlap-add/save).
12	Fast Fourier Transform.
13	2-D Signal Processing.
14	2-D Signal Processing.

Resources

1-Oppenheim, A.V. and R.W. Schafer , Discrete-time Signal Processing.Pearson, 2010.; 2- Lecture Notes.

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CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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