Vladimir V. Podolskii is a senior research fellow at Steklov Institute of Mathematics in Moscow and an associate professor at Computer Science Department of Higher School of Economics in Moscow. His scientific interests lie in the field of Computational Complexity and related fields of Computer Science and Mathematics.
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Coursera
Explore the intriguing realm of number theory, from its historical roots to contemporary applications in cryptography. This course will guide you through fundamental concepts, revealing how numbers have shaped mathematics and secured our digital communications.
Coursera
Dive into the core concepts of mathematical thinking and unlock the secrets behind solving complex problems in computer science. This course, 'What is a Proof?', will equip you with crucial skills in areas such as algorithms, bioinformatics, data science, and machine learning through an exploration of induction, recursion, logic, and other vital discrete mathematics tools.
Coursera
Discover the art and science of counting and probability with our Combinatorics and Probability course. Designed for beginners and advanced learners alike, this course explores essential mathematical concepts that are crucial in various fields such as computer science, data analysis, and everyday problem-solving. Learn to efficiently count possibilities, understand randomness, and make informed decisions.
Coursera
Discover the fundamentals of Discrete Mathematics tailored specifically for those in Data Analysis and Computer Science. This course introduces essential topics like combinatorics and applies them to real-world problems such as analyzing social networks. Gain valuable skills in counting techniques, graph theory, and more to improve your data analysis capabilities.