Search result for Courses taught by Владимир Подольский
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Mathematical Thinking in Computer Science
by Alexander S. Kulikov , Michael Levin , Владимир Подольский- 4.4
Approx. 40 hours to complete
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists?...
Number Theory and Cryptography
by Alexander S. Kulikov , Michael Levin , Владимир Подольский- 4.5
Approx. 19 hours to complete
We all learn numbers from the childhood. Some of us like to count, others hate it, but any person uses numbers everyday to buy things, pay for services, estimated time and necessary resources. People have been wondering about numbers’ properties for thousands of years. Famous 20th century mathematician G. H. You will even pass a cryptographic quest!...
Combinatorics and Probability
by Alexander S. Kulikov , Владимир Подольский- 4.6
Approx. 21 hours to complete
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? All these questions are addressed by a mathematical field called Combinatorics....
Discrete Math and Analyzing Social Graphs
by Владимир Подольский , Ilya V. Schurov , Stepan Kuznetsov- 4.4
Approx. 20 hours to complete
The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will start with a brief introduction to combinatorics, the branch of mathematics that studies how to count. Basics of this topic are critical for anyone working in Data Analysis or Computer Science. As prerequisites we assume only basic math (e....
Дискретная математика: подсчеты, графы, случайные блуждания
by Владимир Подольский- 0.0
Approx. 37 hours to complete
Основная цель курса — дать введение в разделы дискретной математики, важные для анализа данных. Мы начнем с краткого введения в комбинаторику, раздел математики, изучающий подсчеты. Основы комбинаторики критически важны для всех, кто работает в анализе данных или в Computer Science. После этого мы используем наши знания в комбинаторике в изучении дискретной вероятности....
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Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....
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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....
Courses » Academics | Boston University
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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....