| Industrial Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ENG351 | ||||||||
| Course Name: | Digital Filters and Systems | ||||||||
| Course Semester: | Fall | ||||||||
| Course Credits: |
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| Language of instruction: | EN | ||||||||
| Course Requisites: | |||||||||
| Does the Course Require Work Experience?: | No | ||||||||
| Type of course: | Compulsory | ||||||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||||||
| Course Coordinator : | Dr.Öğr.Üyesi SİNA ALP | ||||||||
| Course Lecturer(s): |
Dr.Öğr.Üyesi SİNA ALP |
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| Course Assistants: |
| Course Objectives: | This course covers the concepts and techniques of modern digital signal processing which are fundamental to all the signal/speech/image processing, applications. The course starts with a detailed overview of discrete-time signals and systems, representation of the systems by means of differential equations, and their analysis using Fourier and z-transforms. |
| Course Content: | This course covers the concepts and techniques of modern digital signal processing which are fundamental to all the signal/speech/image processing, applications. The course starts with a detailed overview of discrete-time signals and systems, representation of the systems by means of differential equations, and their analysis using Fourier and z-transforms. |
The students who have succeeded in this course;
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| Week | Subject | Related Preparation |
| 1) | Introduction to Digital Signal Processing | |
| 2) | Discrete-Time Signals and Systems | |
| 3) | Z-dönüşümü ve ters z-dönüşümü | |
| 4) | Analysis of Discrete-Time Systems | |
| 5) | Frekans domeni analizi (DFT ve FFT) | |
| 6) | FIR Filter Design | |
| 7) | Midterm | |
| 8) | IIR Filter Design | |
| 9) | Magnitude and Phase Response of Filters | |
| 10) | Optimization in Filter Design | |
| 11) | Noise Filtering and Applications | |
| 12) | Real Time Signal Processing | |
| 13) | General Review and Final Exam Preparation |
| Course Notes / Textbooks: | None |
| References: | None |
| Learning Outcomes | 1 |
2 |
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|---|---|---|---|---|---|---|---|---|---|---|
| Program Outcomes | ||||||||||
| 1) Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems. | ||||||||||
| 2) Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | ||||||||||
| 3) Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.) | ||||||||||
| 4) Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies. | ||||||||||
| 5) Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems. | ||||||||||
| 6) Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering). | ||||||||||
| 7) Ability to communicate effectively in written and oral form in both Turkish and English. | ||||||||||
| 8) Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself. | ||||||||||
| 9) Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession. | ||||||||||
| 10) Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | ||||||||||
| 11) Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; awareness of the legal consequences of engineering solutions | ||||||||||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, natural sciences, and industrial engineering; ability to apply theoretical and applied knowledge in these areas to model and solve engineering problems. | |
| 2) | Ability to identify, define, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | |
| 3) | Ability to design a complex industrial engineering system, process, device, or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political issues, depending on the nature of the design.) | |
| 4) | Ability to develop, select, and use modern techniques and tools required for industrial engineering, production problems, and ergonomics applications; ability to effectively use information technologies. | 1 |
| 5) | Ability to design experiments, conduct experiments, collect data, analyze, and interpret results for the investigation of industrial engineering, production planning, and ergonomics problems. | 2 |
| 6) | Ability to work effectively both individually and in intra-disciplinary and multidisciplinary teams (particularly in collaboration with computer and mechanical engineering). | |
| 7) | Ability to communicate effectively in written and oral form in both Turkish and English. | |
| 8) | Recognition of the necessity of lifelong learning required by industrial engineering; ability to access, interpret, and improve information; ability to follow scientific and technological developments and continuously renew oneself. | |
| 9) | Awareness of professional and ethical responsibility; competence to contribute to the advancement of the profession. | 1 |
| 10) | Knowledge of industrial engineering practices in project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | 1 |
| 11) | Knowledge of the universal and societal impacts of industrial engineering practices on health, environment, and safety, as well as contemporary issues; awareness of the legal consequences of engineering solutions |
| Lesson | |
| Homework | |
| Project preparation |
| Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
| Homework | |
| Application | |
| Presentation | |
| Reporting |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 42 | % 0 |
| Project | 1 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Project | 1 | 24 | 24 |
| Homework Assignments | 2 | 16 | 32 |
| Midterms | 1 | 16 | 16 |
| Final | 1 | 24 | 24 |
| Total Workload | 138 | ||