Проектный семинар "Интеллектуальные системы и структурный анализ"

Магистратура 2021/2022

Статус: Курс обязательный (Науки о данных (Data Science))

Направление: 01.04.02. Прикладная математика и информатика

Кто читает: Департамент анализа данных и искусственного интеллекта

Где читается: Факультет компьютерных наук

Когда читается: 1-й курс, 1-4 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Герасимова Ольга Александровна, Макаров Илья Андреевич

Прогр. обучения: Науки о данных

Язык: английский

Кредиты: 4

Контактные часы: 40

Full Syllabus Ask Question

Abstract

The course consists of student presentations on the recent research in various fields of computer science and data mining. The course is divided into two sections: the first part is organized to expand the horizons of students in the field of computer science and to test students' readiness to present scientific reports, and the second part is making a review on a scientific report. This course focuses on analysis of interdisciplinary research papers and motivates visiting different scientific colloquium at the university, especially at the faculty of computer science. In addition, it is assumed that the course will help in choosing the topic of scientific research for those students who have not decided yet.

Learning Objectives

to develop students' professional skills required for independent analytical work in applied fields of the computer science
to improve skills of students in writing their scientific texts and preparing of their presentation at scientific events or on defense of the master's thesis

Expected Learning Outcomes

be able to adequately analyze and evaluate scientific activity
be able to prepare a presentation based on a scientific text and its analysis and take part in a scientific discussion on the topic of the article
be able to write a review on a scientific event;
to have basic knowledge on Computer Science topics
to have the skills of working in MS PowerPoint/LaTeX layout system and forming the list of bibliographies according to given rules

Course Contents

Applied tasks of Computer Science
Reviewing

Assessment Elements

Presentation
The current control includes one presentation during the first-second modules based on state-of-the-art article about applied computer science task. The article volume should be no less 6 pages.
Review 1
Review 2
Review 3
Test
Оценка за дисциплину выставляется в соответствии с формулой оценивания от всех пройденных элементов контроля. Экзамен не проводится.

Interim Assessment

2021/2022 4th module
The final mark is evaluated into account of test grade: О_final= 0.55·q·О_pr +0.45·(О_rev1+ О_rev2+ О_rev3)/3, where discount factor q=1, if test grade О_test ≥ 4 (out of 10), or q = О_test/10, otherwise. Example: О_test= 2.5 -> q = 0.25 and О_final= 0.55·0.25·О_pr +0.45·(О_rev1+ О_rev2+ О_rev3)/3

Bibliography

Recommended Core Bibliography

Гаранин, С.Н. Выступления, презентации и доклады на английском языке [Электронный ресурс] / С.Н Гаранин. - М.: МГАВТ, 2015. - 36 с. - Режим доступа: http://new.znanium.com/catalog.php?bookinfo=522529

Recommended Additional Bibliography

Hirsch, E. et al. (ed.). Computer Science - Theory and Applications: 7th International Computer Science Symposium in Russia, CSR 2012, Niszhny Novgorod, Russia, July 3-7, 2012, Proceedings. – Springer, 2012. – Vol. 7353.

Course Syllabus