Practical Work Experience

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

  1. Conducting an introductory conference, setting research tasks, undergoing training on the practice procedure.
  2. Arrival at the place of practice. Making oneself familiar with the site, its daily routine, code of conduct, as well as the main R&D targets. Revising the research programme, drafting a schedule.
  3. Participation in the site activities. Carrying out experiments and collecting empirical data at the place of practice.
  4. Conducting quantitative and qualitative analysis of the data collected. Interpreting the results and correlating them with the data of other empirical and theoretical research work.

Summarizing, analyzing further research perspectives. Finalizing a report.

Course contents:

The purpose of the practice is to learn basic research methods and techniques and to develop a professional view in the area of electric drives and automatic devices.

Activities:

  1. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
  2. Office-hours.

Total hours – 324

Total points – 9

Midterm assessment – Pass/fail examination

Research

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

  1. Acquaintance with research topics in the area of automatic drives and choice of topic.
  2. Drafting a research plan.
  3. Study of one’s thesis subject using print media and patent databases. Discussion of one’s findings at a R&D seminar.
  4. Setting a research task. Selection of research techniques and measurement tools. Preparation for research activities.
  5. Carrying out experimental and theoretical research. Processing results. Verification of theoretical results. Writing an abstract and discussing it.
  6. Discussion of research results, drawing up and submitting a report for a R&D conference.
  7. Revision of the research plan.
  8. Revision of the research plan.
  9. Discussing the research findings at the R&D seminar. Stating the originality and practical value of the research findings.
  10. Preparation and discussion of the research materials to be published.
  11. Discussing the research findings at a R&D seminar involving employers and leading researchers. Assessment of competence related to forming one’s professional views and culture.
  12. Preparation of a report and public defense of the research findings at a R&D conference.
  13. Presentation of the research findings in the form of a Master’s thesis and public defense of the thesis.

Course contents:

Research work is an important part of Master’s programmes. It enables a postgraduate to practice his or her skills in carrying out research, engineering and manufacturing activities, understand major issues of his or her field of study to tackle which one has to face difficult choices that require advanced research techniques. It also allows a postgraduate to apply scientific findings and established methods to tackle new scientific and engineering issues, carry out experiments and evaluate the results.

Activities:

  1. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
  2. Office-hours.

Total hours – 648

Total points – 18

Midterm assessment –Pass/fail examination

History and Methodology of Science and Production (Electrical Engineering)

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

  1. Introduction
  2. Understanding the world from a scientific point of view
  3. Methodology of science. Main historical periods.
  4. Current physical worldview
  5. History of technology
  6. History of electrical engineering and power industry

Activities:

  1. Teacher-led group activities in a classroom;
  2. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
  3. Office-hours.

Total hours – 72

Total points – 2

Laboratory classes – 15

Midterm assessment –Pass/fail examination

Electric Drives and Automation Systems Engineering

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

  1. Scope of engineering
  2. Engineering electric drives and automation systems: General provisions
  3. Estimation and selection of software tools for electric drives and automation systems
  4. Computer technology used to engineer electric drives and automation systems
  5. Elaboration of engineering and software documentation
  6. Computer technology used to study optimization of automatic drives in industrial applications
  7. Installation, commissioning and operation of electric drives and automation systems

Course contents:

INTRODUCTION

1.SCOPE OF ENGINEERING

1.1. System engineering

1.2. Electrical engineering

1.3. Engineering electric drives and automation systems: General issues

1.4. Business plans to build new and revamp the existing equipment

1.5. International and Russian systems of standards

1.6. Certification and licensing

1.7. Organizational structures of companies engaged in engineering electric drives and automation systems

2. Engineering electric drives and automation systems: General provisions

2.1.Engineering stages and scope of projects

2.2. Statement of work

2.3. Feasibility study

2.4.Selection of electrical equipment using parameters series of rating parameters

2.5. Selection of electrical equipment following the requirements and based on operating conditions

2.6. Ensuring electromagnetic compatibility of electrical equipment

2.7. Ensuring reliability of electric drives and automation systems

3. Estimation and selection of software tools for electric drives and automation systems

3.1. Technical means of automatic drive systems

3.2. Estimation and selection of complete electric drives and their components

3.3. Software tools of automatic drive systems

3.4. Hardware means of automation systems

3.5.Selection of automation tools

3.6. Software tools of automation systems

4. Computer technology used to engineer electric drives and automation systems

4.1. Engineering tools

4.2. Graphics, letters and digits used as designations in diagrams

5. Elaboration of engineering and software documentation

5.1. Electrical drawings and diagrams: General rules

5.2. Drawings of electrical devices

5.3. Structural and functional diagrams

5.4. Principal diagrams

5.5. Wiring diagrams

5.6. General circuit diagram, circuit layout and combined circuit diagram

5.7. Text documents as part of the engineering documentation

5.8. Software documentation

6. Computer technology used to study optimization of automatic drives in industrial applications

6.1. Computer tools used for analysis and optimization

6.2. Combination, analysis and optimization of regulation and control system parameters

7. Installation, commissioning and operation of electric drives and automation systems

7.1. Regulatory provisions for installation, commissioning and operation of electrical equipment

7.2 Specifications and estimates required to do installation

7.3. Conducting electrical installation and commissioning

7.4. Parameter set-up techniques for electrical equipment, parameterization of complete electric drives

7.5. Acceptance tests and service

7.6. Warranty and out-of-warranty service

7.7. Environmental aspects of introduction and revamping of processing facilities

Activities:

  1. Teacher-led group activities in a classroom;
  2. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
  3. Office-hours.

Total hours – 216

Total points – 6

Laboratory classes – 30

Midterm assessment –Examination

Fundamentals of Engineering Experiment

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

  1. Key concepts
  2. Metrological support of experimental studies
  3. Sources of measurement errors in technical experiments
  4. Evaluation of random factor effect on experiment results
  5. Random variable position characteristics
  6. Normal random variable distribution law
  7. Key tasks of mathematical statistics
  8. Statistical criteria and their application in technical experiments
  9. Dispersion analysis
  10. Regression equation and its application in technical experiments
  11. Regression analysis
  12. Basics of planning an experiment
  13. Planning a technical experiment and search for best conditions

Course contents:

This course is aimed at giving students a clear idea about how to set up an experiment, how to evaluate random factor effect on experiment results, what dispersion and regression analyses are, and how to plan an experiment.

Activities:

  1. Teacher-led group activities in a classroom;
  2. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
  3. Office-hours.

Total hours – 144

Total points – 4

Laboratory classes – 16

Midterm assessment –Pass/fail examination

Subcategories

Useful Links

Magnitogorsk Rolling Practice

Electronic Application form for international students

Visa Information

Our consortia


enmda

mmateng

ecobru

rkc