Optical storage

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Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Explores current-voltage measurements to confirm photosynthetically derived electrons in optical devices.

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

Explores the generation, manipulation, and applications of polarized light using techniques like polarizers and wave plates.

Discusses microbial growth, cell division, measurement techniques, and applications in environmental microbiology.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Explores the evolution and challenges of MRAM technology for memory applications and its potential for future computing paradigms.

Covers magnetic recording technologies, storage concepts, components, and advancements in data storage.

Covers the representation of atomic structures on a computer and introduces exercises based on Jupyter notebooks.

Covers the formation and properties of quantum wells and heterostructures in semiconductor materials.

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