Educational activity:
Currently the laboratory staff is involved in teaching a course on Discrete Mathematics (1 and 2) for bachelor students of the program Applied Mathematics and Computer Science, Faculty of Computer Science, as well as organization of the Theoretical Computer Science Track for 3rd-4th year students of the same program and holds a research seminar for them.
The laboratory staff gives research projects and diploma projects for the students of Higher School of Economics.
Internationally acclaimed computer scientists are regularly invited for lectures, courses and participation in the laboratory’s research seminar.
In 2019 the Theoretical Computer Science Track opened as part of the master's program in Data Science.
Mini courses 2024:
Vladimir Gurvich "On Discrete Convexity"
Mini courses 2021:
Gregory Kucherov "Hash-based data structures"
Mini courses 2020:
Kristoffer Arnsfelt Hansen "Existential Theory of the Reals and Game Theory"
Mini courses 2019:
Mini-course by Andrei Romaschenko "Sharing a secret: information-theoretic and complexity approaches" in Russian
Mini-course by Klim Efremenko "Coding for Interactive Communication"
Mini courses 2018:
Mini-course by Dmitry Chistikov "Introduction to theories of linear arithmetic".
Mini-course by Vladimir Gurvich "Topics in Game Theory".
Mini courses 2017:
Mini-course by Bruno Loff "Asymmetric Communication Complexity".
Mini-course by Stephen Fenner "The matching problem: Approaches, applications, and algorithms".
Mini-course by Vladimir Gurvich "Topics in Game Theory".
Mini-course by Guilhem Gamard "Combinatorics on words".
Mini course by Alexander Shen “Randomness and pseudorandomness”.
Lecture: "Time-space tradeoffs". Lecturer: Tomislav Petrović (Boston University, USA)
Lecture "Clustering Billions of Reads for DNA Data Storage". Lecturer: K. Makarychev (Northwestern University, Chicago/Evanston, USA)
Lecture "Algorithmic and Hardness Results for the Hub Labeling Problem". Lecturer: Y. Makarychev (Toyota Technological Institute at Chicago)
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