542-0961/02 – Technological Analysis in Mineral Processing (ÚTA)
| Gurantor department | Department of Mining Engineering and Safety | Credits | 10 |
| Subject guarantor | doc. Ing. Iva Janáková, Ph.D. | Subject version guarantor | doc. Ing. Iva Janáková, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 2010/2011 | Year of cancellation | 2022/2023 |
| Intended for the faculties | HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Analysis of knowledge base in the area of raw materials properties and technologies evaluation. Interpretation of acquired informations and their synthesis for mineral processing technology assesment. Application of statistical methods in area of raw materials and wastes treatment.
Teaching methods
Lectures
Individual consultations
Summary
The course provides an overview of methods for evaluating raw materials and technological processes of their treatment. Increased attention is paid to the issue of statistical planning and evaluation of experimental work.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Professional consultations and oral exam
E-learning
Other requirements
Demonstration of theoretical knowledge and their application in solving the topic of the dissertation
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Definition of qualitative-quantitative characteristics in the processing of minerals
Principles and methodology of raw material sampling, definition of experimental error
Basic technological parameters of distribution processes
Calculation of separation efficiency
Methodology of evaluation of technological processes using statistical procedures
Statistical procedures for planning and evaluating experiments
Statistical significance tests
Regression and correlation analysis in the evaluation of technological processes
Analysis of variance and its application in the planning and evaluation of the experiment
Forecasting of separation results
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction