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Discrete Structures for Computer Science

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  • Lecture Discrete Structures for Computer Science - Chapter 4: Sets and Functions present the content: sets, set operation, functions, one-to-one and onto functions; sequences and summation; venn diagram; recursion,...

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  • Lecture Discrete Structures for Computer Science - Chapter 4: Relations present the content: properties of relations, combining relations, representing relations, closures of relations, types of relations, relations antisymmetric,...

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  • Lecture Discrete Structures for Computer Science - Chapter 5: Counting present the content: introduction, counting techniques, pigeonhole principle, permutations & combinations, applications of combinatorics,...

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  • Lecture Discrete Structures for Computing - Chapter 0: Introduction present the content: course description, course outline, document, some applications, subjects in general discrete mathematics course, topics relational to the course,...

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  • In this lesson, you will leam about specific steps you can take to secure your computer system and your data from a variety of threats. You might be surprised to learn that computer security is not primarily a technical issue, and is not necessarily expensive. For the most part, keeping your system and data secure is a matter of common sense.

    ppt63p koxih_kothogmih6 22-09-2020 41 3   Download

  • All the phenomena of nature are characterized by motion; this is an essential property of matter, having infinity of aspects. For instance, the motion can be mechanical, physical, chemical and biological; there correspond various sciences of nature. Among them, mechanics studies the objective laws of the mechanical motion of material bodies, the simplest form of motion of matter; we will deal with such a study in what follows. The scientific study of matter has put in evidence its existence in the form of physical systems.

    pdf0p thienbinh1311 13-12-2012 50 5   Download

  • The handbook is written for mature readers with a great deal of rigorous experience with either doing scientific research or writing scientific software. However no specific background in computer science, statistics, or biology is required to understand most of the chapters. In order to accommodate the readers who wish to become professional computational biologists in the future we also provide appendices that contain educationally sound glossaries of terms and descriptions of major sequence analysis algorithms.

    pdf570p banhkem0908 24-11-2012 78 5   Download

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