Project Seminar ''Intelligent Systems and Structural Analysis''

2021/2022

Учебный год

ENG

Обучение ведется на английском языке

4

Кредиты

Кто читает:

Департамент анализа данных и искусственного интеллекта

Статус:

Курс обязательный

Когда читается:

1-й курс, 1-4 модуль

Преподаватели

Герасимова Ольга Александровна

Макаров Илья Андреевич

Course Syllabus

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.