Exams, Computer Science

Information and Entropy

unified theory of info with applications to computing, communications, thermodynamics & other sciences, digital signals & streams, codes, compression, noise & probability, reversible & irreversible operations, info in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, second law of thermodynamics, quantum computation: syllabus, lecture notes, assignments, exams & solutions, units

Foundations of Computational Sciences

role of computation as a fundamental tool of discovery in the development of science, methods, techniques, tools used: Fundamentals of Computing, Simulation and Numerical Algorithms, Software Engineering for Scientists, High Performance Computing, Concurrent and Parallel Computing, Applications of Computational Science

Mathematical Foundations of Computer Science

introduction to theoretical computer science including studies of abstract machines, language hierarchy from regular languages to recursively enumerable languages, noncomputability & complexity theory

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