NAME OF THE COURSE |
Analysis of Real Samples |
Code |
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Course teacher |
Assoc Prof Ante Prkić |
Credits (ECTS) |
3.5 |
|
Associate teachers |
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Type of instruction (number of hours) |
|
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Status of the course |
Mandatory |
Percentage of application of e-learning |
0 % |
|
COURSE DESCRIPTION |
Course objectives |
- Provide students with the basics of sampling. - Teach students solve practical problems of sampling of real sample - Introduction of students to basic methods for assessing the composition and size fractions in the real sample. |
Course enrolment requirements and entry competences required for the course |
Enrolled in or passed the course Exercise of Analysis of real samples |
Learning outcomes expected at the level of the course (4 to 10 learning outcomes) |
Implementation of the sampling process as the initial step of each chemical analysis Proper selection of the quantity of collected material, depending on the analyte and the available analytical methods and techniques Link Auditors solve problems related to sampling using statistical methods with the available techniques and methods which can be carried out chemical analysis Learning to use mathematical tools in solving mathematical problems related to sampling |
Course content broken down in detail by weekly class schedule (syllabus) |
Week 1: Significance analysis of real samples: raw materials, industrial products. The development and control processes. Seminar: Solving numerical examples treated theoretical material. Week 2: Sampling of gases, liquids and solids. Seminar: Solving numerical examples from the sampling of gases, liquids and solids. Week 3: Analytical separation. Preparation of samples for analysis. Seminar: Solving numerical problems in the theory of analytic separation. Week 4: Decomposition and dissolution of samples. Seminar: Solving numerical examples treated theoretical material - Decomposition and dissolution of samples. Week 5: Development of selected methods. The choice of methods of analysis. Seminar: Solving numerical examples treated theoretical material - Development of selected methods. Week 6: Reporting and interpretation of analytical data. Seminar: Solving numerical examples treated theoretical material - Reporting and interpretation of analytical data. Week 7: Revision of theoretical and seminar materials. Assessment (first partial test of theoretical and seminar materials). Week 8: Determination of water. Moisture in solids and gases. Seminar: Solving numerical examples treated theoretical material - moisture in solids and gases. Week 9: Methods for the analysis of materials: cement, minerals, alloys and metals, oil, water. Seminar: Solving numerical examples treated theoretical materials - Methods for analysis of materials. 10th week: Quality control. Tolerance. Seminar: Solving numerical examples treated theoretical material - Quality control and tolerance. 11th week: Reference Materials. Seminar: Solving numerical examples treated theoretical material - Reference Materials. 12 weeks: Sampling and sample preparation for analysis of plaster and cement. Seminar: Solving numerical examples treated theoretical materials - Sampling plaster and cement. 13th week: Separation and Analysis of Minerals. Seminar: Solving numerical examples treated theoretical material - Collection and analysis of minerals. 14th week: Separation and analysis: alloy. Seminar: Solving numerical examples treated theoretical material - Collection and analysis of alloys. Week 15: Revision of theoretical and seminar materials. Examination (II. Partial test theoretical and seminar materials). |
Format of instruction: |
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Student responsibilities |
Attending lectures in the amount of 80% of the hourly rate. |
Screening student work (name the proportion of ECTS credits for eachactivity so that the total number of ECTS credits is equal to the ECTS value of the course): |
Class attendance |
0.3 |
Research |
0.0 |
Practical training |
0.0 |
Experimental work |
0.0 |
Report |
0.0 |
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