AI standards: configuring systems for privacy
The goals of this course are to familiarize the software engineer with key elements and concepts that can enhance privacy capabilities and safeguards in the software engineering and development process. Practical techniques are used to help the learner understand how to harness the assessment proces...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch Video |
| Sprache: | English |
| Veröffentlicht: |
Piscataway, N.J.
IEEE Communications Society
2020
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| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Zusammenfassung: | The goals of this course are to familiarize the software engineer with key elements and concepts that can enhance privacy capabilities and safeguards in the software engineering and development process. Practical techniques are used to help the learner understand how to harness the assessment process to enhance privacy requirements and privacy-related controls. By the end of this course, you will understand how privacy assessments integrate into software engineering and software development models with an emphasis on fundamentals. Topics include understanding the elements of a privacy assessment as it relates to software engineering and development; reviewing the stakeholders in a privacy assessment and the context of that assessment as it relates to requirements development; understanding th+W4e organizational stakeholders and their roles within the execution of a privacy assessment |
| Beschreibung: | 1 Online-Ressource (1 Video-Datei, 24 Minuten) sound, color |
| ISBN: | 9781728177557 1728177553 |
Internformat
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Datensatz im Suchindex
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| spelling | Silveira, Matthew Verfasser aut AI standards configuring systems for privacy Matthew Silveira Artificial intelligence standards Configuring systems for privacy Piscataway, N.J. IEEE Communications Society 2020 1 Online-Ressource (1 Video-Datei, 24 Minuten) sound, color tdi rdacontent c rdamedia cr rdacarrier The goals of this course are to familiarize the software engineer with key elements and concepts that can enhance privacy capabilities and safeguards in the software engineering and development process. Practical techniques are used to help the learner understand how to harness the assessment process to enhance privacy requirements and privacy-related controls. By the end of this course, you will understand how privacy assessments integrate into software engineering and software development models with an emphasis on fundamentals. Topics include understanding the elements of a privacy assessment as it relates to software engineering and development; reviewing the stakeholders in a privacy assessment and the context of that assessment as it relates to requirements development; understanding th+W4e organizational stakeholders and their roles within the execution of a privacy assessment Computer security / fast / (OCoLC)fst00872484 Computer security Software engineering Security measures (DE-588)4017102-4 Film gnd-content video/ https://ieeexplore.ieee.org/servlet/opac?mdnumber=EW1599 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Silveira, Matthew AI standards configuring systems for privacy Computer security / fast / (OCoLC)fst00872484 Computer security Software engineering Security measures |
| subject_GND | (DE-588)4017102-4 |
| title | AI standards configuring systems for privacy |
| title_alt | Artificial intelligence standards Configuring systems for privacy |
| title_auth | AI standards configuring systems for privacy |
| title_exact_search | AI standards configuring systems for privacy |
| title_exact_search_txtP | AI standards configuring systems for privacy |
| title_full | AI standards configuring systems for privacy Matthew Silveira |
| title_fullStr | AI standards configuring systems for privacy Matthew Silveira |
| title_full_unstemmed | AI standards configuring systems for privacy Matthew Silveira |
| title_short | AI standards |
| title_sort | ai standards configuring systems for privacy |
| title_sub | configuring systems for privacy |
| topic | Computer security / fast / (OCoLC)fst00872484 Computer security Software engineering Security measures |
| topic_facet | Computer security / fast / (OCoLC)fst00872484 Computer security Software engineering Security measures Film |
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