Аспирантура 2020/2021

Специальная дисциплина

Статус: Курс обязательный

Направление: 09.06.01. Информатика и вычислительная техника

Кто читает: Департамент анализа данных и искусственного интеллекта

Где читается: Факультет компьютерных наук

Когда читается: 3-й курс, 1 семестр

Формат изучения: без онлайн-курса

Преподаватели: Объедков Сергей Александрович, Яковлев Константин Сергеевич

Язык: русский

Кредиты: 7

Контактные часы: 40

Программа дисциплины

Аннотация

In this course, we study recent PhD theses in Computer Science, predominantly those that have obtained some international recognition. The goal is to understand what results are currently considered worthy of a PhD degree, as well as how to structure one's thesis and how to present one's research results, both orally and in a written form.

Цель освоения дисциплины

• acquire understanding of the standards for PhD theses in the field
• learn how to present one's work in the more general context of one's field

Планируемые результаты обучения

• is able to understand the results of other researchers presented in research papers or manuscripts
• understands the current expectations from PhD-level research results in Computer Science
• is able to present his or her research results in written and oral forms according to the current standards for such presentations

Содержание учебной дисциплины

• Reading and writing a PhD thesis in Computer Science
  Taking as examples some of the best recent PhD theses in Computer Science, we discuss the current standards for the PhD-level research results in the filed, as well as the way they should be presented within a thesis.

Элементы контроля

• Home assignment
• Exam
• Home assignment
• Exam

Промежуточная аттестация

• Промежуточная аттестация (I семестр)
  0.5 * Exam + 0.5 * Home assignment

Список литературы

Рекомендуемая основная литература

• Finn, C. (2018). Learning to Learn with Gradients. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.446B409E
• Multi-perspective process mining. (2018). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsnar&AN=edsnar.oai.pure.tue.nl.publications.b40869c0.2d11.4016.a92f.8e4ee9cd9d66
• S. Keshav. (2012). How to Read a Paper. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.9BD51B06

Рекомендуемая дополнительная литература

• Adamsen, C. Q. (2018). Automatiserede Testingteknikker for Event-Drevne og Dynamisk Typede Softwareapplikationer ; Automated Testing Techniques for Event-Driven and Dynamically Typed Software Applications. Denmark, Europe: Aarhus Universitet. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.BC641D5C
• Elsden, C. R. (2018). A quantified past : fieldwork and design for remembering a data-driven life. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.71FB2B71