8. Research Practice

Module Name:

Module 8: Research Practice

Code

M8IS(Ma)

Module Elements

Compulsory

Research Practice 2 

Semester Number:

4

Person responsible for the module:

Y.V. Kukharenko

Lecturer:

V.P. Kulikov, V.P. Kulikova, Y.V. Kukharenko

Language:

Russian

Curriculum relation:

Information Systems (Ma)

Type of teaching / number of hours per week and per semester :

Full-time: 

4 semester: hours per week –18 (independent work of students -18);

hours per semester – 270 .

Workload:

Full-time education:

Teaching Load: 0 hours

Extracurricular Classes: 270 hours

Total: 270 hours

Credit Points:

Final Academic Assessment: 9 ECTS

Conditions for Examinations:

For admission to the exam, the student must score at least 50 points out of 100 available for each subject of the module

Recommended Conditions:

This module is based on the knowledge gained in the course of the following undergraduate subjects: Organizing of Research and Innovation Activities, Theoretical Basics of Information Processes, Modern Trends in Artificial Intelligence Systems.

Expected Learning Outcomes:

Knowledge: modern methods of scientific research with the obligatory experimental part, processing and interpretation of experimental data with the use of new information technologies.

Skills: to integrate the knowledge gained in the course of different subjects, to use them to solve educational, analytical and managerial problems in professional activities; to expand and deepen the knowledge necessary for daily professional activities.

Abilities:  update knowledge, expand professional skills; carry out research projects in the professional field.

Intendend use/applicability

Modules: Final Academic Assessment

Content:

Application of modern methods of research; processing and interpretation of experimental data with the use of new information technologies; approbation of the results of scientific research carried out within the framework of the master's thesis.

Examination Form, module mark:

Research Practice 2   - Scientific Research Report Defense

Module mark: the result of the exam Research Practice 2 

Technical/Multimedia Facilities:

Interactive whiteboard, multimedia system, IT room

Study Materials:

1. V. Borovikov. Statistica (Art of Data Analysis on a Computer) PITER, 2003. – 688 p.
2. V. A. Filippov. Data Mining: Methods and Tools M.: URSS, 2008.  52 p.
3. Y. I. Tyurin, A. A. Makarov. Statistical Analysis of Data on a Computer (under the editorship of V. E. Figurnov), M., INFRA, 1998. – 528 p.
4. I. I.Yeliseyeva, M. M. Yuzbashev. General Theory of Statistics. M.: Finance and statistics, 2007. – 656 p.
5. L. M. Kharchenko, V. G. Dolzhenkova, V. G. Ioninet al. Statistics: Textbook. M.: INFRA-M, 2006. – 384 p.

Date of last amendment

20.01.2020