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Explores self-assembly of Microsystems, its importance, features, motivations, and examples in various fields, highlighting landmark achievements and future prospects.
Explores the wave equation for a vibrating string and its numerical solution using finite difference formulas and the Newmark scheme in MATLAB/GNU Octave.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.
Covers maps as key-value data structures, including querying, updating, and handling missing values, with practical examples like polynomial representation.
