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Introduction to Microprocessor-Based Systems Design - Donzellini, Giuliano

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        Avis sur Introduction To Microprocessor - Based Systems Design Format Broché  - Livre Sciences de la vie et de la terre

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        Présentation Introduction To Microprocessor - Based Systems Design Format Broché

         - Livre Sciences de la vie et de la terre

        Livre Sciences de la vie et de la terre - Donzellini, Giuliano - 01/12/2022 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Donzellini, Giuliano - Oneto, Luca - Garavagno, Andrea Mattia
      • Editeur : Springer International Publishing Ag
      • Langue : Anglais
      • Parution : 01/12/2022
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 640
      • Expédition : 955
      • Dimensions : 23.5 x 15.5 x 3.5
      • ISBN : 9783030873462



      • Biographie:
        Giuliano Donzellini was born in Savona (Italy) in 1954. He graduated in Electronic Engineering from the University of Genoa in 1980. After an initial experience in the Civil Telecommunications Division of the company Marconi Italiana (Genoa), he joined the DIBE (Department of Biophysical and Electronic Engineering, now DITEN, Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture) of the University of Genoa, Italy, as an Assistant Professor, where he currently serves as a Contract Professor. During his career, he has been developing automated instrumentation systems, arbitrary waveform generators, image analysis systems, and process control systems. He has also been implementing various architectures for digital phase-locked systems, object-oriented microcontroller architectures and topographic surveying techniques with VLF and ELF. More recently, he has been very active in developing hardware and software simulation of digital devices forcomputer-assisted and distance learning. He developed a specific software environment for teaching/learning digital electronics (the Deeds, Digital Electronics Education and Design Suite), including topics such as analysis and synthesis of combinational and sequential logic networks, finite state machine design, microcomputer programming, embedded systems, FPGA programming and design with the use of HDL languages. Furthermore, he has been contributing to several EU projects dealing with issues in electronic design and e-Learning. Andrea Mattia Garavagno was born in Rome (Italy) in 1996. He received his BSc in Electronic Engineering from the University of Genova, Italy, in 2018. He is currently attending a Master Degree's Program on Embedded Computing Systems, jointly offered by the Department of Information Engineering at the University of Pisa, Italy, and the Institute of Communication, Information and Perception Technologies at the Scuola Superiore Sant'Anna,Italy. Together with Giuliano Donzellini e Luca Oneto, he co-authored the Italian book Introduzione al Progetto di Sistemi a Microprocessore, published by Springer Milano, Italy, in 2021. Luca Oneto was born in Rapallo, Italy in 1986. He received his BSc and MSc in Electronic Engineering at the University of Genoa, Italy, in 2008 and 2010, respectively. In 2014, he received his PhD degree from the same university, at the School of Sciences and Technologies for Knowledge and Information Retrieval, with the thesis Learning Based On Empirical Data. In 2017, he obtained the Italian National Scientific Qualifications for the role of Associate Professor in Computer Engineering and in Computer Science, in 2017 and 2018, respectively. From 2016 to 2019, he has been serving as an Assistant Professor in Computer Engineering at University of Genoa, Italy. In 2018, he co-founded the spin-off ZenaByte s.r.l. In 2019, he obtained the Italian National Scientific Qualification for the role of Full Professor in Computer Science and Computer Engineering. In 2019, he became Associate Professor in Computer Science at University of Pisa, Italy, and in turn Associate Professor in Computer Engineering at University of Genoa, Italy. He has been involved in several H2020 projects (S2RJU, ICT, DS), and was awarded with the Amazon AWS Machine Learning Awards (2019 and 2020), and the Marco Somalvico Award 2019 for the best Italian Young AI researcher. The main topic of Luca Oneto's research is Statistical Learning Theory, with a particular focus on the theoretical aspects of the problems of (Semi) Supervised Model Selection and Error Estimation. Further topics are relating to Data Science, and cover the problem of Trustworthy AI and solutions of real-world problems by exploiting and improving the most recent Learning Algorith...

        Sommaire:
        Introduction to programmable computing networks.- A system based on the DMC8 microprocessor.- Microprocessor systems on FPGA.- Appendices.

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