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Версия для слабовидящихЛичный кабинет сотрудника ВШЭПоиск
Аспирантура 2020/2021

Научно-исследовательский семинар: статистика, геометрия и их взаимодействие с теорией графов

Статус: Курс по выбору
Направление: 02.06.01. Компьютерные и информационные науки
Когда читается: 2-й курс, 1 семестр
Формат изучения: без онлайн-курса
Охват аудитории: для своего кампуса
Язык: английский
Кредиты: 5

Course Syllabus

Abstract

The course takes place every other week (once every two weeks) and each session lasts 2 academic hours. Sessions alternate between presentations by invited researchers and topical lectures on subjects ranging from Comparison Geometry and Optimal Transport to Graph Theory with a clear inclination towards questions of statistical nature.
Learning Objectives

Learning Objectives

  • To provide doctoral students with theoretical background and exposure to current research topics presented by invited leading researchers, academic members of the computer science faculty or students themselves.
Expected Learning Outcomes

Expected Learning Outcomes

  • Solve mathematically challenging problems.
  • Work in group environment.
  • Read, write and present research in mathematics and theoretical computer science.
Course Contents

Course Contents

  • Geometry, Graph Theory, Probability and Statistics.
Assessment Elements

Assessment Elements

  • non-blocking Presentation
  • non-blocking Attendance
  • non-blocking Presentation
  • non-blocking Attendance
Interim Assessment

Interim Assessment

  • Interim assessment (1 semester)
    0.5 * Attendance + 0.5 * Presentation
Bibliography

Bibliography

Recommended Core Bibliography

  • Cesa-Bianchi, N., Lugosi, G. Prediction, learning, and games. – Cambridge university press, 2006. – 408 pp.

Recommended Additional Bibliography

  • Diestel R. Graph Theory. – Springer, 2017. – 428 pp.