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Covers the definition of biological contaminants and the transmission of pathogens, including emerging infectious diseases and antibiotic resistance.
Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Covers query processing with relational operations, focusing on different join methods and the impact of buffering.
Explores sensor technologies in MEMS, focusing on pressure sensors, accelerometers, and gyroscopes, and highlights the significance of sensor fusion.
Covers query optimization, from logical to physical plans, including query transformation and cost estimation.
Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.
