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Questions and Answers
In discrete mathematics, what type of values does it primarily deal with?
Why is the study of discrete mathematics essential in computer science?
Which of the following is NOT a topic covered in the course on discrete mathematics?
What kind of students is the course on discrete mathematics designed for?
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'Discrete' in discrete mathematics means dealing with:
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'Continuous' in continuous mathematics implies dealing with:
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Study Notes
- The course on discrete mathematics is designed for undergraduate students majoring in computer science, information technologies, software engineering, computer engineering, data science, artificial intelligence, cyber security, and other engineering disciplines, as well as natural and physical science students.
- The course aims to aid in preparation for competitive exams like GATE, enhance problem-solving skills, and develop mathematical reasoning.
- The course content includes topics such as mathematical reasoning, logic, set theory, functions, relations, counting, sequences, series, mathematical induction, recursion theory, graphs, trees, and discrete probability.
- The course will follow the book "Discrete Mathematics and its Applications" by Kenneth H. Rosen, 8th edition published around 2019-2020.
- It distinguishes between discrete mathematics (dealing with countable objects) and continuous mathematics (pertaining to measurable objects).
- Discrete mathematics deals with specific and countable values (integers), while continuous mathematics involves any type of values (real numbers, float values).
- Examples of discrete values include the number of goals scored by a team, while examples of continuous values include temperatures or measurements like heights.
- The study of discrete mathematics is essential in computer science for processing data in a binary (on/off) manner, where data is stored and manipulated discretely.
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Description
Learn about the essential concepts of discrete mathematics through this comprehensive course designed for undergraduate students in computer science and other engineering disciplines. The course covers topics like mathematical reasoning, set theory, graphs, and more, aimed at enhancing problem-solving skills and preparing for competitive exams such as GATE.
