Subject · Mining engineering

Dağ-mədən işlərində analitik nəzarətTopics

İFS-36117y6 creditsAutumn semesterElective2025-2026

Topic plan

The subject's topics and the learning outcomes attached to each one.

15 topics
  1. 1. Introduction. qualified, quantitative, technical, urgent, etc. analyses. standards, technical conditions.

    Lecture

    The object and tasks of analytical chemistry. differences in types of analysis (qualitative, quantitative, technical, etc.). the regulatory role of state standards and technical conditions in the analysis of substances.

  2. 2. Antenanın əsas paramertlərinin təcrübi təyini metodları

    Lecture

    Antenanın istiqamətlənmə diaqramı, güclənmə əmsalı, faydalı iş əmsalı və digər əsas parametrlərin eksperimental ölçülmə üsulları araşdırılır.

  3. 3. Titrimetric analysis: neutralization, oxidation-reduction and complexation.

    Lecture

    Neutralization, oxidation-reduction, complexation, etc. methods of analysis. conducting the titration process, finding the equivalence point and calculating the results of the analysis

  4. 4. Analytical calculations: determination of concentration and solutions.

    Lecture

    Method without standard, method of comparison with standard, graphical method, etc. determination of concentration with calculating the results of weight analysis using the standard-free method. preparation of solutions with normal, percentage, molar, and titrated concentrations.

  5. 5. Electrochemical and radiometric analysis methods.

    Lecture

    Classification of electrochemical, optical and radiometric analysis methods. potentiometric, polarographic, electrogravimetric, conductometric, etc. working principles of analytical methods and application in industry.

  6. 6. Optical analyzes and spectral properties of the atom.

    Lecture

    Refractometric, atomic absorption, nephelometric analysis methods. the essence of characteristic, polychromatic, monochromatic and resonant rays. the structure of the atom, energy levels, energy of the beam, etc.

  7. 7. Sample management: preparation of primary and secondary samples.

    Lecture

    Rules for taking an initial sample, preparation of an average sample. the process of selecting a suitable solvent for the initial sample and dissolving the sample in that selected solvent.

  8. 8. Analysis of production materials.

    Lecture

    Characteristics of raw materials, auxiliary materials, waste and finished products and their analysis in industrial conditions.

  9. 9. Separation of elements and complex compounds.

    Lecture

    Precipitation in the form of fractions, selective precipitation, chromatography, extraction, etc. separation of elements by methods. conversion of the ion to be determined into a complex compound form and dissociation of the complex ion.

  10. 10. An introduction to the science of metrology.

    Lecture

    The basics of metrology science. measurement, measurement tools, determination of standards and a unified system of measurement units.

  11. 11. Metrological basis of analysis.

    Lecture

    Metrological basis of analysis. measurement differences of absolute and relative methods of analysis. distributed graph. application of external standards method in the calibration process.

  12. 12. Measurement errors and measurement accuracy.

    Lecture

    Random, gross and systematic errors and their variance. uncertainties in measurements, measurement accuracy. choosing a confidence interval. analysis of the probability that the results of the analysis are correct.

  13. 13. Investigation of systematic errors.

    Lecture

    Systematic error distribution mechanisms. detection and investigation of errors occurring at separate stages of analysis (sampling, preparation, hardware error).

  14. 14. True and average value of measurement, dispersion of results.

    Lecture

    Rules for calculating the true or average value of the measurement. the tendency of individual measurement results to deviate from the true value. extraction of the absolute variance of measurement results.

  15. 15. Mathematical-statistical processing of the results of the analysis.

    Lecture

    Probability in examining the results of the analysis by mathematical and statistical methods. examination of the results on the gaussian function (normal distribution) and graphical representation of error patterns.