Alexander S. Kulikov is a research fellow at St. Petersburg Department of Steklov Mathematical Institute of the Russian Academy of Sciences and a visiting professor at University of California, San Diego. His scientific interests include algorithms for NP-hard problems and circuit complexity. In St. Petersburg, he runs Computer Science Club and Computer Science Center.
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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.
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Dive into the world of computational problem-solving and learn how to optimize delivery routes like never before with 'Delivery Problem: Solving the Travelling Salesman Problem'. This course, available on Coursera, equips you with Python programming skills to tackle one of the most challenging problems in logistics – visiting all locations as efficiently as possible. Whether you're a student or a professional in logistics, this course will help you understand and implement efficient algorithms for solving the Travelling Salesman Problem (TSP), a crucial aspect of delivery optimization.
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Discover the power of algorithms with 'Algorithmic Toolbox', a comprehensive Coursera course that teaches you how to tackle everyday computational challenges. Learn sorting and searching, divide-and-conquer strategies, greedy algorithms, dynamic programming, and more through engaging video lectures and hands-on practice.
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Discover the essential principles of Data Structures with our expert-led online course. Gain a deep understanding of how to effectively manage and manipulate data using various structures like lists, stacks, queues, trees, and hash tables. Learn through engaging video lectures, quizzes, and hands-on programming assignments designed to enhance your skills in implementing these critical concepts in different programming languages.
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Discover the power of graphs and algorithms with 'Algorithms on Graphs'. Learn how to navigate through road networks, optimize computer networks, and analyze social networks efficiently. Perfect for those interested in data science, network theory, and algorithmic problem-solving.
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Explore the fascinating world of string algorithms in this online course. Delve into the techniques that drive search engine efficiency and revolutionize personalized medicine. From understanding text queries to identifying disease-causing mutations in human genomes, this course offers a deep dive into the computational methods that make sense of textual information.
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Step up your algorithmic skills with our Advanced Algorithms and Complexity course. Dive into intricate problem-solving techniques, including network flows, optimal matchings, and disjoint paths. Perfect for those ready to advance beyond the basics and explore sophisticated applications in various fields like computer vision and scheduling.
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Embark on an enlightening journey into the world of Graph Theory with our introductory course. Delve into the basics of graph representation, uncover the beauty and logic behind key concepts, and discover real-world applications that range from GPS navigation to circuit design and beyond. Perfect for beginners and enthusiasts alike.
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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.