Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Conference Object Integrating Un Sustainable Development Goals Into Mechanical Engineering Electives: a Modular Approach(Springer Science and Business Media B.V., 2025) Totuk, O.H.; Selvi, O.; Ceccarelli, M.This paper presents an innovative approach to incorporating the United Nations Sustainable Development Goals (SDGs) into the Mechanical Engineering curriculum, focusing on elective courses in the third and fourth years of study. The proposed method introduces a standardized 3-h module for each elective, comprising two hours of theoretical instruction and one hour of practical application. This modular approach ensures consistent exposure to sustainability concepts across various specialized topics within Mechanical Engineering. The theoretical component covers relevant SDGs, their implications for engineering practice, and potential technological solutions. The practical segment includes tailored activities, labs, or design challenges that apply sustainability principles to the specific subject matter of each elective. This integration strategy not only enhances students’ understanding of global sustainability challenges but also equips them with the skills to address these issues within their future engineering careers. The paper discusses the development process of these modules, potential challenges in implementation, and preliminary feedback from faculty and students. By systematically embedding sustainability into existing courses, this approach offers a scalable and efficient method for engineering programs to produce graduates who are both technically proficient and sustainability-conscious, ready to contribute to a more sustainable future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.Book Part Citation - Scopus: 2Multirate Signal Processing(Springer Science and Business Media B.V., 2018) Gazi, O.Digital signals are obtained from continuous time signals via sampling operation. Continuous time signals can be considered as digital signals having infinite number of samples. Sampling is nothing but selecting some of these samples and forming a mathematical sequence called digital signal. And these digital signals can be in periodic or non-periodic forms. © Springer Nature Singapore Pte Ltd. 2018.Book Part Citation - Scopus: 1Discrete Fourier Transform(Springer Science and Business Media B.V., 2018) Gazi, O.In linear algebra, basis vectors span the entire vector space. And any vector of the vector space can be written as the linear combination of the basis vectors. For any vector in vector space, finding the coefficients of basis vectors used for the construction of the vector can be considered as a transformation. Fourier series are used to represent periodic signals. Fourier series are used to construct any periodic signal from sinusoidal signals. The sinusoidal signals can be considered as the basis signals, and linear combination of these signals with complex coefficients produce any periodic signal. © Springer Nature Singapore Pte Ltd. 2018.Book Part Analog and Digital Filter Design(Springer Science and Business Media B.V., 2018) Gazi, O.In this chapter, we will study analog and digital filter design techniques. A filter is nothing but a linear time invariant (LTI) system. Any LTI system can be described using its impulse response. If the impulse response of a LTI system is known, then for any arbitrary input the system output can be calculated by taking the convolution of the impulse response and arbitrary input. This also means that filtering operation is nothing but a convolution operation. And filter design is nothing but finding the impulse response of a linear time invariant system. For this purpose, we can work either in time domain or frequency domain. © Springer Nature Singapore Pte Ltd. 2018.Book Citation - Scopus: 12Understanding digital signal processing(Springer Science and Business Media B.V., 2018) Gazi, O.Book Part Polarization Rate and Performance of Polar Codes(Springer Science and Business Media B.V., 2019) Gazi, O.In this chapter, we will mathematically state the channel polarization theorem and prove it. In addition, the performance of polar codes will be mathematically analyzed. © Springer Nature Singapore Pte Ltd. 2019.Book Part Polarization of Binary Erasure Channels(Springer Science and Business Media B.V., 2019) Gazi, O.In this chapter, we will demonstrate the calculation of split channel capacities when polar codes are employed for binary erasure channels. © Springer Nature Singapore Pte Ltd. 2019.Book Polar Codes: a Non-Trivial Approach To Channel Coding(Springer Science and Business Media B.V., 2019) Gazi, O.Polar codes are one of the recently discovered capacity achieving channel codes. What makes the polar codes different from other channel codes is that polar codes are designed mathematically and their performance are mathematically proven. © Springer Nature Singapore Pte Ltd. 2019.Book Part Citation - Scopus: 1Mathematical Modelling of Polar Codes, Channel Combining and Splitting(Springer Science and Business Media B.V., 2019) Gazi, O.In Chap. 2, we explained the decoding of polar codes in a clear and trivial manner. However, in most of the engineering sciences, it is critical to mathematically formulate the theories or techniques invented. © Springer Nature Singapore Pte Ltd. 2019.Book Part Citation - Scopus: 1Information theory perspective of polar codes and polar encoding(Springer Science and Business Media B.V., 2019) Gazi, OrhanPolar codes are one of the recently discovered capacity achieving channel codes. What makes the polar codes different from other channel codes is that polar codes are designed mathematically and their performance are mathematically proven. © Springer Nature Singapore Pte Ltd. 2019.