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Plan and build real-time embedded systems: schedule tasks with clock-driven, fixed-priority, LST and EDF schedulers, verify feasibility, and program FreeRTOS in C.
Learn to architect an embedded IoT device by selecting processor families, boards, networks, and operating systems, integrating an RTOS, debugging, and running on low power.
Learn blockchain fundamentals for business: assess characteristics, automation, suitable platforms, integration challenges and decentralization, and spot opportunities in IoT, smart grid and supply chain.
Learn to architect embedded IoT devices: weigh market and lifecycle choices, avoid failures and hacks, decide buy versus build, and model requirements with SysML.
Learn how data science creates business value: descriptive, predictive and prescriptive analytics, supervised and unsupervised methods, classification, clustering, regression, plus NoSQL models and cloud platforms.
Learn privacy-preserving methods for Big Data environments: spot vulnerabilities in data projects, apply data protection regulations and concepts, and design systems that keep privacy manageable.
Align business strategy with sustainability goals: integrate sustainability into management, industrial digitalization and value chains, and prepare your organization for transformation.
Model software system behaviour as automata and labelled transition systems, then compare them with behavioural equivalences, hide internal actions, and reduce complexity, as with the alternating bit protocol.
Design the network architecture of a cyber-physical system: layered communication protocols, M2M connectivity, data transfer over the web, and cryptographic security and privacy measures.
Work through a startup's go-to-market sequence: cold calling, customer analysis, segmentation and positioning, AIDA and conversion, experimental marketing, pivoting, and market expansion.
Learn to think like an entrepreneur: apply design thinking, run the innovation cycle, build and test business models through customer discovery, and find sources of startup funding.
Anticipate how your industry will be disrupted: use the "rabbit in Australia" model, Moore's Law and the disruption "combination lock" to steer transformation decisions without ROI cases.
Predict how new technology reshapes industries: apply innovation theories, the Gartner hype cycle, backcasting, and value network analysis to map future business roles and strategy.
Treat the Web as a space for giant structured data exchange: publish Linked Data, model it in RDF, query sources with SPARQL, and integrate other data formats.
Get a decision maker's view of blockchain: distributed ledgers, public versus consortial networks, business value propositions, stepwise adoption, and turnkey cloud solutions for enterprise integration.
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