Active experiment in the study of enrichment processes

Description: The discipline "Active experiment in research in the study of enrichment processes" is designed to familiarize undergraduates with the basics of organizing and conducting scientific research, with a preliminary analysis of scientific information, as well as the reliability of the experimental results that meet modern requirements for the training of qualified specialists. This course "Active experiment in the study of enrichment processes" includes: methodological foundations of scientific knowledge and creativity, methods of theoretical research, the choice of the direction of scientific research and the stages of research, the use of mathematical methods: experiment planning (active experiment), similarity and modeling in scientific research, organization and mathematical processing of experimental results in a criterion form with confirmation adequacy of the obtained mathematical models by methods of mathematical statistics, using the concept of uncertainty for confirmation.

Amount of credits: 5

Пререквизиты:

• Chemistry

Course Workload:

Component: University component

Cycle: Base disciplines

Goal

• "Active experiment in the study of enrichment processes" - introduction to the theoretical provisions and fundamentals of the theory of planning experimental research; formation of skills for organizing and planning scientific work, conducting a scientific experiment and processing its results. In the process of studying this discipline, the student expands and deepens parts of the following competencies: • proficiency in using (under the guidance of) modeling methods, forecasting evaluation and optimization of technological processes and properties of materials, standardization and certification of materials and processes. • proficiency in data collection, study, analysis and generalization of scientific and technical information on the subject of research, development and use of technical documentation, basic regulatory documents on intellectual property, preparation of documents for patenting.,

Objective

• study of the theoretical foundations of experiment planning and organization, correlation and regression analysis, factor experiment; study of modern methodological approaches to the formulation and processing of experimental research results and mathematical methods used in the planning and optimization of the experiment; • formation of the ability to develop a factor plan of the experiment and conduct variance, correlation and regression analysis; • formation of practical skills to perform scientific experimental research, processing of experimental results.

Learning outcome: knowledge and understanding

• study of the theoretical foundations of experiment planning and organization, correlation and regression analysis, factor experiment; the study of modern methodology°

Learning outcome: applying knowledge and understanding

• be able to: conduct a statistical evaluation of the results of experiments and apply various consent criteria to test statistical hypotheses; choose an experiment plan based on the available capabilities and goals of the experiment; to optimize the object of research;

Learning outcome: formation of judgments

• The formation of skills for drawing up plans based on the theory of experiments and solving various engineering problems; correlation of standard software packages regressive and mastering the skills of variance analysis.

Learning outcome: communicative abilities

• The successful conduct of the discussion is due to the knowledge of the participants of the subject of discussion, the presence of undergraduates' own opinion on this issue, the master's students' knowledge of methods of interaction with partners, influence on them, knowledge of the conversation management process.

Learning outcome: learning skills or learning abilities

• Apply knowledge, understanding and the ability to solve problems in new or unfamiliar situations and contexts within broader areas related to the field of study.

Teaching methods

Research teaching method Lecture-seminar test system technology

Topics of lectures

• Methodological foundations of scientific knowledge and creativity
• Tasks and methods of theoretical research
• Theory of planning an active experiment

Key reading

• 1. Samojlik, V. G. Speczial`ny`e i kombinirovanny`e metody` obogashheniya polezny`kh iskopaemy`kh : ucheb. posobie / V. G. Samojlik. – Doneczk : Skhi`d. vid. di`m, 2015. – 164 s 2. Kobzar` A.I. Prikladnaya matematicheskaya statistika. Dlya inzhenerov i nauchny`kh rabotnikov / A.I. Kobzar` - M.: FIZMATLIT, 2006 6. Vukolov E`. A. Osnovy` statisticheskogo analiza. Praktikum po statisticheskim metodam i issledovaniyu operaczij s ispol`zovaniem paketov STATISTICA i EXCEL: uchebnoe posobie / E`. A. Vukolov — M. : FORUM : INFRA-M, 2010 3. Samojlik, V. G. Teoriya i tekhnika fizicheskogo e`ksperimenta pri obogashhenii polezny`kh iskopaemy`kh : uchebnoe posobie / V. G. Samojlik, A. N. Korchevskij. – Doneczk : Tekhnopark DonGTU "UNITEKh", 2016. – 205 s. 4. Ry`lov, V. G. Metodika oprobovaniya mestorozhdenij polezny`kh iskopaemy`kh : ucheb. posobie dlya studentov geolog. speczial`nostej / V. G. Ry`lov, A. V. Trufanov. – Rostovna-Donu : YuFU, 2013. – 99 s 5. Tyumenczeva, O. V. Mineraly` i gorny`e porody` : ucheb. posobie / O. V. Tyumenczeva. – Omsk : SibADI, 2013. – 72 s. 6. Kozin, V. Z. Oprobovanie mineral`nogo sy`r`ya: nauchnaya monografiya / V. Z. Kozin /Ural. gos. gorn. un-t. – Ekaterinburg: Izd-vo UGGU, 2011. – 316 s. 7. Makarov A.A. Analiz danny`kh na komp`yutere / Yu.N Tyurin, A.A. Makarov – M.: Infra-M, 2003. 8. Samojlik, V. G. Klassifikacziya tvѐrdy`kh goryuchikh iskopaemy`kh i metody` ikh issledovanij : monografiya / V. G. Samojlik. – Doneczk : Tekhnopark DonNTU, 2016. – 308 c. 9. Gavrilova, N. N. Mikroskopicheskie metody` opredeleniya razmerov chasticz dispersny`kh materialov : ucheb. posobie / N. N. Gavrilova, V. V. Nazarov, O. V. Yarovaya. – Moskva : RKhTU im. D. I. Mendeleeva, 2012. – 52 s. 10. Laboratorny`j separator SRF1-100L [E`lektronny`j resurs] // RADOS : sajt. – E`lektron. dan. – Krasnoyarsk, 2017. – Rezhim dostupa: http://www.rados.ru/equipment-sep1- 100.html. – Zagl. s e`krana.

Further reading

• 11. Reutova G.A. Teoreticheskie osnovy` planirovaniya metallurgicheskogo e`ksperimenta. MU dlya magistrantov specz. 6N0709 – U-Ka: VKGTU, 2008. - 45 s. 12. Reutova G.A. Statisticheskie metody` kontrolya analiticheskikh izmerenij v metallurgii. U-Ka: VKGTU, 2008. - 25 s. 13. Reutova G.A. Metody` statisticheskogo analiza v inzhenerny`kh issledovanij. U-Ka: VKGTU 2008.- 27 s. 14. Reutova G.A. Tipovy`e modeli izobretatel`skikh zadach i ikh preobrazovaniya. U-Ka, VKGTU, 2008. - 27 s. 15. Karmanov, F. I. Statisticheskie metody` obrabotki e`ksperimental`ny`kh danny`kh / F. I. Karmanov, V. A. Ostrejko vskij. – Moskva : Abris, 2012. – 208 s.. 16. Frumkin, R. A. Osnovy` nauchny`kh issledovanij : ucheb. posobie dlya vuzov / R. A. Frumkin; Donbas. gorno-metallurg. in-t. – Alchevsk : DGMI : Lado, 2010. – 201 s. VOSTOChNO-KAZAKhSTANSKIJ T