Theory of Scientific Experiment Modeling

Description: The discipline is the basis for further study of the specialized disciplines of the master's program and the implementation of a master's thesis. This course, based on the courses of physics and higher mathematics, informatics, provides the study of theoretical basic knowledge put into the theory of experimental data processing, allows you to acquire practical skills in using modern software for analyzing data from a technical experiment.

Amount of credits: 5

Пререквизиты:

• Introduction to Engineering

Course Workload:

Component: Component by selection

Cycle: Base disciplines

Goal

• mastering the methods of obtaining information during the experiment; formation of creative thinking and instilling the skills to use the acquired fundamental knowledge, basic laws and methods when conducting a laboratory or industrial experiment with subsequent processing and analysis of research results

Objective

• - to form ideas about the system of accumulation of scientific knowledge and methods of scientific research; about methods of planning and organization of experimental research; - obtaining theoretical knowledge and practical skills in considering practical issues and tasks that arise in the formulation, planning and processing of engineering experiments.

Learning outcome: knowledge and understanding

• Know and understand the role of scientific research in describing a problem in the electricity sector

Learning outcome: applying knowledge and understanding

• Know the general principles of scientific design

Learning outcome: formation of judgments

• To be able to apply the rules and requirements for the design of scientific research in scientific activity

Learning outcome: communicative abilities

• Able to apply modern achievements of science and advanced technology in research works

Learning outcome: learning skills or learning abilities

• Be able to use the acquired knowledge in practice, as well as in the process of writing a master's thesis

Teaching methods

Classes are held mainly in active and creative forms. Among the effective pedagogical methods and technologies that contribute to the involvement of students in the search and management of knowledge, the acquisition of experience independent problem solving.

Assessment of the student's knowledge

Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.

The evaluating policy of learning outcomes by work type

Evaluation form

The student's final grade in the course is calculated on a 100 point grading scale, it includes:

• 40% of the examination result;
• 60% of current control result.

The final grade is calculated by the formula:

 

Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;

E is a digital equivalent of the exam grade.

Final alphabetical grade and its equivalent in points:

The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:

Topics of lectures

• Experiment as a subject of research
• Great scientists, discoveries, new technologies
• Experiment planning methods
• Choice of the direction of scientific research
• Stages of research work
• The structure of the "Introduction, conclusion, list of sources used" and to the master's work and final qualifying work of the undergraduate and the main requirements for its components
• Search, accumulation and processing of scientific information
• Patent Research
• Theoretical and experimental studies
• Processing of the results of experimental studies
• Computer methods of statistical processing of the results of an engineering experiment
• Basic requirements for writing, design and defense of scientific papers
• Document analysis
• Working with the experimental setup using software
• The concept and structure of the master's thesis

Key reading

• 1. Law of the Republic of Kazakhstan "On Science" 2. Law of the Republic of Kazakhstan "On Copyright and Related Rights". 3. Law of the Republic of Kazakhstan "On innovation activity" 4. Patent Law of the Republic of Kazakhstan 5. A.O. Lutai, D.L. Alontseva, Yu.E. Kukin. Guidelines for the design of a master's thesis. - Ust-Kamenogorsk: EKSTU, 2012. - 42 p. 6. Grigoriev, Yu.D. Methods of optimal planning of experiment: linear models: textbook. - St. Petersburg. : Lan, 2015. - 320 p. 7. Safin, R.G. Fundamentals of scientific research. Organization and planning of the experiment: textbook / R.G. Safin, A.I. Ivanov, N.F. Timerbaev. - Kazan, 2013. - 154 p. : 8. Musina, O.N. Planning and staging a scientific experiment: teaching aid / O.N. Musina. - M.; Berlin: Direct-Media, 2015. - 88 p. 9. Intellectual property in the Republic of Kazakhstan: Collection of normative acts. – Almaty: JURIST, 2012. – 93 p. 10. Fundamentals of patent law and patent science in the Republic of Kazakhstan: Textbook / Answer. Editor T.E. Kaudyrov. – Almaty: Meti targy, 2013. – 392 p.

Further reading

• 11. Radaev V.V., How to organize and present a research project (75 simple rules) / State University - Higher School of Economics, INFRA-M, 2014, 202 p. 12. Rogozhin M.Yu. Preparation and defense of written works: Educational practical guide. - RDL, 2012. - 240 p.