Subject: Working environment data analysis
(17 -
ZR305A) Basic Information
Native organizations units
Course specification
Course is active from 07.11.2018.. Precondition courses
Course which have preconditioned courses Working environment data analysis
- Acquiring the necessary knowledge about the characteristics of the systems that are present in the working environment; - Acquiring the necessary knowledge about the instrumental methods of analysis essential in the field of working environment quality control of; - Introduction to modern methods of the working environment quality control planning, processing and analysis of experimental data; - Acquiring the necessary knowledge on the application of sorption and catalytic processes in remediation of the working environment. After completing the course and passing the exam, the student will be able to: Specify and describe the essential characteristics of the systems that are present in the working environment; Define the main analytical methods and types of data processing used in identifying and assessing contamination, deposition and dispersion dynamics of harmful substances in different matrixes of the working environment; Define the application of sorption and catalytic processes in the remediation of the working environment. The structure of pure substances. Properties and behavior of gases, solid and liquid substances. Dispersed systems. Solutions. Phase equilibrium, Gibbs' phase rule, two and three component systems. Sorption processes in remediation of the working environment. Physical and chemical adsorption, heat of adsorption, adsorption equilibrium and kinetics. Application of the adsorption process in occupational engineering. The impact of catalysed processes on the working environment. Catalysis, catalytic reactions, the theory of heterogeneous catalysis, homogeneous catalysis. Experiment in controlling the quality of the working environment. Approach to experimental research, planning of experiment. Types of errors. Systematic errors. Random errors. Rough experimental errors. The accuracy and precision of the experimental results. Processing of the experimental results. Graphical analysis of the experimental results. Statistical analysis of the experimental results. Analytical methods. Chemical, sensory, biochemical and instrumental analytical methods. Spectroscopy. Theoretical basis and types of spectroscopy. Spectroscopic methods in controlling the quality of the working environment. Instruments in optical spectroscopy. Theoretical basis of separation methods. Chromatographic analytical methods in controlling the quality of the working environment. Lectures. Laboratory and Computing Practice. Consultations – individual and group. During the semester, students are required to attend lectures, laboratory and computing classes. After successfully realized examination prerequisites, students take the final exam in written (computing part) and oral form (theoretical part). Written part of the exam can be quarterly taken through the two colloquiums.
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