The student will acquire an understanding of the possibilities of modern computing environments in scientific-technical computing. The student understands, that only the numerical computation does not fit for all purposes, and that symobolical computation and programming support the developing of the concepts of high abstract level, and their direct implementation. Also producing structured documents and technical writing (LaTeX, XML,....) will be emphasized. The student the statistic scientific overall view crucial to engineers, and will get expertise in statistic scientific thinking.
Part1. Scientific Computing:
Lectures, computer labs and exercises
Lectures, Exercises and assignments
Lecture materials are delivered durign the course.
Manuals in the web of the software used during the course.
Possibilites given by Computer Algebra Software in engineering. Example: WMaxima, Geogebra, e.t.c
Probability, Combinatorics, Discrete and Contionuous Distributions, Correlation, Regression Analysis,
Evaluation is based on exams and returned assignments
Scale: Failed 0, Satisfactory 1 -2, Good 3-4, Excellent 5
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