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Regular version of the site
Master 2019/2020

Project Seminar ''Intelligent Systems and Structural Analysis''

Type: Compulsory course (Data Science)
Area of studies: Applied Mathematics and Informatics
When: 1 year, 1-4 module
Mode of studies: Full time
Master’s programme: Data Science
Language: English
ECTS credits: 4

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

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

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
  • to have the skills of working in MS PowerPoint/LaTeX layout system and forming the list of bibliographies according to given rules
  • be able to write a review on a scientific event;
  • to have basic knowledge on Computer Science topics
Course Contents

Course Contents

  • Applied tasks of Computer Science
    Students should make a presentation in English on a scientific article with relevant theme to specialization of training. The report should consist of the following parts: 1) the formulation of the objectives of the study; 2) informative step-by-step review of the article; 3) analysis of the results presented in the article and their values (comparative analysis with other existing solutions); 4) your opinion about the relevance of the task and its further development.
  • Reviewing
    Students should participate in at least three scientific events (colloquium, workshop, conference ant etc.) and write three review on them.
Assessment Elements

Assessment Elements

  • non-blocking 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.
  • non-blocking Review 1
  • non-blocking Review 2
  • non-blocking Review 3
  • non-blocking Test
    Оценка за дисциплину выставляется в соответствии с формулой оценивания от всех пройденных элементов контроля. Экзамен не проводится.
Interim Assessment

Interim Assessment

  • Interim assessment (4 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

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.