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Explore privacy's evolution in Western society, from historical roots to modern digital challenges. Gain insights on cultural differences, legal developments, and human rights implications.
Explore European privacy law, its historical context, and key legal elements, focusing on human rights treaties, economic cooperation, and the General Data Protection Regulation (GDPR).
Explore token systems, Petri-nets, and dataflow graphs. Master mathematical modeling and worst-case performance analysis techniques for embedded systems. Develop abstract thinking skills.
Explore Digital Twins: fundamentals, integration, applications, and benefits for complex systems and smart products. Learn from industrial success stories and enabling technologies.
Explore embedded hardware and operating systems for IoT applications. Learn about processing elements, kernels, and Contiki OS. Practice with Cooja simulator to design and simulate wireless sensor networks.
Explore innovation and entrepreneurship fundamentals, Silicon Valley models, market analysis, customer engagement, and open innovation strategies for successful business growth in the IT sector.
Explore American privacy laws, from constitutional protections to sector-specific regulations, enhancing your understanding of privacy in the US legal framework.
Explore IoT system architecture, from planning to implementation. Learn to define quality attributes, write requirements, and apply knowledge to real-world scenarios using Android frameworks.
Comprehensive capstone integrating knowledge from previous courses on privacy and standardization. Assignments challenge learners to analyze global privacy issues across jurisdictions and technologies.
Explore foundations of mining non-structured medical data, covering challenges, NLP, image analysis, and data analytics in healthcare. Gain insights for innovative applications in the medical field.
Develop innovative solutions through technology-driven market analysis, design thinking, and strategic planning to create value and capitalize on emerging opportunities.
Empowers learners to handle cybersecurity threats, focusing on identity management, email security, and web protection. Includes practical skills and expert insights on fraud and cybercrime.
Comprehensive exploration of cryptographic principles and access controls for Big Data systems, equipping professionals to identify vulnerabilities and enhance system robustness.
Learn to plan, implement, and program real-time systems using mathematical proofs, common scheduling methods, and FreeRTOS. Gain practical skills through examples and programming assignments in C language.
Learn to develop embedded IoT devices using pre-made components. Explore hardware, software, and integration techniques. Gain skills in debugging, fine-tuning, and optimizing for low power consumption.
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