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Discrete Mathematics for CS in Arabic || الرياضيات المتقطعة

Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields in CS.

Discrete Mathematics for CS in Arabic || الرياضيات المتقطعة

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Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields including data science, machine learning, and software engineering (it is not a coincidence that math puzzles are often used for interviews). We introduce you to this language through a fun try-this-before-we-explain-everything approach: first you solve many interactive puzzles that are carefully designed specifically for this online specialization, and then we explain how to solve the puzzles, and introduce important ideas along the way. We believe that this way, you will get a deeper understanding and will better appreciate the beauty of the underlying ideas (not to mention the self-confidence that you gain if you invent these ideas on your own!). To bring your experience closer to IT applications, we incorporate programming examples, problems, and projects in the specialization.

Discrete mathematics is the basic theory of computer science. The basic knowledge of the discrete structure and the formalization of logical thinking are the basic skills of information technology students. The basic concept of discrete mathematics is an important foundation for science students to learn information courses.

This course introduces the concepts and thinking methods of the theoretical basis of computer science and information technology, introduces the basic concepts of mathematical logic, set theory, graph theory, abstract algebra, formal languages, and automata, and introduces the basic concepts of discrete mathematics and spatial information technology The connection and combination between students will cultivate students' understanding and mastery of the basic concepts of discrete mathematics, adopt formal methods to analyze problems, and be able to consciously use logical analysis, structural hierarchy analysis, and isomorphic analogy to solve problems.

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