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Benefit/Cost-Driven Software Development [[electronic resource] ] : With Benefit Points and Size Points
| Benefit/Cost-Driven Software Development [[electronic resource] ] : With Benefit Points and Size Points |
| Autore | Hannay Jo Erskine |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (114 p.) |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Mathematical & statistical software
Software Engineering Desenvolupament de programari Anàlisi cost-benefici |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Mathematical Software
Software Engineering open access benefits management benefit points earned business value management benefit/costs index uncertainty assessment periodization Mathematical & statistical software |
| ISBN | 3-030-74218-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466404003316 |
Hannay Jo Erskine
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Benefit/Cost-Driven Software Development : With Benefit Points and Size Points
| Benefit/Cost-Driven Software Development : With Benefit Points and Size Points |
| Autore | Hannay Jo Erskine |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (114 p.) |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Mathematical & statistical software
Software Engineering Desenvolupament de programari Anàlisi cost-benefici |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Mathematical Software
Software Engineering open access benefits management benefit points earned business value management benefit/costs index uncertainty assessment periodization Mathematical & statistical software |
| ISBN | 3-030-74218-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910488721003321 |
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Hannay Jo Erskine
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNISA-996466564503316 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Innovative Learning Environments in STEM Higher Education : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann
| Innovative Learning Environments in STEM Higher Education : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann |
| Autore | Ryoo Jungwoo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) |
| Disciplina | 519.5 |
| Collana | SpringerBriefs in Statistics |
| Soggetto topico |
Statistics
Machine learning Learning Instruction Knowledge representation (Information theory) Statistics for Social Sciences, Humanities, Law Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Educació STEM Educació superior |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Statistics for Social Sciences, Humanities, Law
Machine Learning Statistics and Computing/Statistics Programs Learning & Instruction Knowledge based Systems Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics and Computing Education Innovative Learning Environments ILEs Science, Technology, Engineering, and Math STEM virtual reality VR augmented reality mixed reality cross reality extended reality artificial intelligence AI adaptive learning personalized learning higher education multimodal learning mobile learning Open Access Social research & statistics Mathematical & statistical software Teaching skills & techniques Cognition & cognitive psychology Expert systems / knowledge-based systems |
| ISBN | 3-030-58948-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. |
| Record Nr. | UNINA-9910473457603321 |
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Ryoo Jungwoo
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
| Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course |
| Autore | Walrand Jean |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (390 p.) |
| Soggetto topico |
Maths for computer scientists
Communications engineering / telecommunications Maths for engineers Probability & statistics |
| Soggetto non controllato |
Probability and Statistics in Computer Science
Communications Engineering, Networks Mathematical and Computational Engineering Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematical and Computational Engineering Applications Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Applied probability Hypothesis testing Detection theory Expectation maximization Stochastic dynamic programming Machine learning Stochastic gradient descent Deep neural networks Matrix completion Linear and polynomial regression Open Access Maths for computer scientists Mathematical & statistical software Communications engineering / telecommunications Maths for engineers Probability & statistics Stochastics |
| ISBN | 3-030-49995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464521903316 |
|
Walrand Jean
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Probability in Electrical Engineering and Computer Science : An Application-Driven Course
| Probability in Electrical Engineering and Computer Science : An Application-Driven Course |
| Autore | Walrand Jean |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (390 p.) |
| Soggetto topico |
Maths for computer scientists
Communications engineering / telecommunications Maths for engineers Probability & statistics |
| Soggetto non controllato |
Probability and Statistics in Computer Science
Communications Engineering, Networks Mathematical and Computational Engineering Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematical and Computational Engineering Applications Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Applied probability Hypothesis testing Detection theory Expectation maximization Stochastic dynamic programming Machine learning Stochastic gradient descent Deep neural networks Matrix completion Linear and polynomial regression Open Access Maths for computer scientists Mathematical & statistical software Communications engineering / telecommunications Maths for engineers Probability & statistics Stochastics |
| ISBN | 3-030-49995-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910488709003321 |
|
Walrand Jean
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Solving PDEs in Python [[electronic resource] ] : The FEniCS Tutorial I / / by Hans Petter Langtangen, Anders Logg
| Solving PDEs in Python [[electronic resource] ] : The FEniCS Tutorial I / / by Hans Petter Langtangen, Anders Logg |
| Autore | Langtangen Hans Petter |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Springer Nature, 2016 |
| Descrizione fisica | 1 online resource (XI, 146 p. 17 illus., 16 illus. in color.) |
| Disciplina | 004 |
| Collana | Simula SpringerBriefs on Computing |
| Soggetto topico |
Computer mathematics
Algorithms Mathematics Visualization Computer software Numerical analysis Software engineering Computational Science and Engineering Mathematical Software Numerical Analysis Software Engineering/Programming and Operating Systems |
| Soggetto non controllato |
Computational Science and Engineering
Algorithms Visualization Mathematical Software Numerical Analysis Software Engineering/Programming and Operating Systems Data and Information Visualization Software Engineering Finite element FEniCS Partial Differential Equations Python Simulation Open access Maths for scientists Combinatorics & graph theory Mathematical & statistical software Operating systems |
| ISBN | 3-319-52462-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Preliminaries -- 2 Fundamentals: Solving the Poisson Equation -- 3 A Gallery of Finite Element Solvers -- 4 Subdomains and Boundary Conditions -- 5 Extensions: Improving the Poisson Solver -- References. |
| Record Nr. | UNINA-9910169179003321 |
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Langtangen Hans Petter
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| Springer Nature, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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