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Covers the fundamentals of linear equations systems, including definitions, representations, and solution methods.
Covers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.
Covers mini-test guidelines and the concept of moment of inertia for various shapes, including practical demonstrations on gyroscopic forces.
Covers unit testing with JUnit for array methods, including testing minimum elements, handling exceptions, calculating averages, and sorting arrays.
Explores the integration of silicon membranes into deformable structures and the creation of neural implants with electronic components directly at the electrode array level.
Explores the HexHive project's research questions, bug pruning techniques, and industry collaborations, showcasing its impactful alumni.
Explores software engineering concepts, emphasizing the significance of tests and clear specifications in ensuring software correctness.
Covers polynomial identity testing using oracles and random point evaluation, with applications in graph theory and algorithmic aspects.
