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Trace the history of privacy through court decisions, 19th-century treaties, post-war human rights law, and digital-age personal data protection, comparing European and American perspectives.
Trace European privacy law from post-war cooperation to the GDPR: human rights treaties, landmark court rulings, EU–US data transfers, and individual data rights.
Model systems as token production and consumption: draw Petri-nets, formalize behavior with prefix orders and counting functions, and analyze throughput, latency and buffering in single-rate dataflow graphs.
Understand digital twins in 32 minutes: the digital master, digital shadow and full twin layers, use cases in predictive maintenance, and industrial success stories.
Learn embedded hardware and embedded operating systems for IoT: processors, FPGAs, memory management, task scheduling, Contiki kernel and services, and Cooja wireless sensor network simulation.
Trace privacy from historic milestones to today's rules: compare US and European personal data regimes and examine the legal power of standardisation in technology.
Trace how American law protects privacy: the 4th Amendment, Constitution and Bill of Rights case law, sector-specific consumer laws, and rules for telephony, e-mail and ISPs.
Learn the Silicon Valley startup model: analyze markets for segments, interview customers to test assumptions and reach product-market fit, use failure productively, and apply open innovation.
Design IoT software architectures: write functional and non-functional requirements, express quality attributes like interoperability and modifiability, and apply tactics and MVC patterns in Android.
Compare privacy protection across US and European jurisdictions: read legal recitals and articles, weigh medical data pseudonymisation under ISO standards, and draft your own contract terms.
Explore how unstructured health data is mined: clinical data types, NLP on medical text, medical image analysis, and the basics of analytics on structured information.
Pick a market and an emerging technology, then apply backcasting, value network analysis, design thinking and marketing strategy to design and pitch a product.
Learn to counter attacks on digital identity: manage credentials and passwords safely, spot e-mail threats and web impersonation, and see how web hacking works.
Turn technology into ventures: study the impact of technology, open innovation, design thinking and funding, and entrepreneurial marketing strategy, then apply them in a capstone.
Learn cryptographic principles and access control management for Big Data systems, and spot vulnerabilities so you can plan Big Data projects with security in mind.
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