542-0032/03 – Technological analysis (TA)

Gurantor departmentDepartment of Mining Engineering and SafetyCredits5
Subject guarantordoc. Ing. Iva Janáková, Ph.D.Subject version guarantordoc. Ing. Iva Janáková, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation2021/2022
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
PEC06 doc. Ing. Iva Janáková, Ph.D.
MOT127 Mgr. Oldřich Motyka, Ph.D.
MUD0002 Ing. Jaroslav Mudruňka, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 28+28
Part-time Credit and Examination 8+8

Subject aims expressed by acquired skills and competences

tudents demonstrate the knowledge of graphical and computational methods for evaluating raw materials and evaluating the efficiency of technological operations, including the application of basic statistical methods. They are able to apply basic procedures of mathematical statistics to solve practical problems of processing raw materials.

Teaching methods

Lectures
Tutorials

Summary

Students are acquainted with the issue of evaluation of properties of mineral resources and waste and evaluation of treatment plants technologies. The course also deals with the application of basic probabilistic a statistical methods in the area of raw material processing and planning and evaluation of experimental work. Students are able to evaluate and predict the results of technological processes and apply basic statistical methods in this area.

Compulsory literature:

SUBBA RAO, D. V. Minerals and coal: process calculations. Boca Raton: CRC Press, Taylor & Francis Group, 2016. ISBN 9781315225524. MELOUN, Milan and Jiří MILITKÝ. Statistical Data Analysis: A Practical Guide. Woodhead Pub. India Pvt Limited, 2011. ISBN 0857091093. DRZYMALA, Jan. Mineral Processing: Foundations of theory and practice of minerallurgy. Wrovlaw: Wroclaw University of Technology, 2007. ISBN 978-83-7493-362-9. FUERSTENAU, Maurice C. and Kenneth N. HAN. Principles of mineral processing. Littleton, Colo.: Society for Mining, Metallurgy, and Exploration, 2003. ISBN 0-87335-167-3.

Recommended literature:

SUBA RAO, D.V. Textbook of Mineral Processing. Scientific Publishers, 2017. ISBN 9789387741027. WILLS, B. A., Tim. NAPIER-MUNN and B. A. WILLS. Wills' mineral processing technology: an introduction to the practical aspects of ore treatment and mineral recovery. 7th ed. Boston, MA: Elsevier/BH, 2006. ISBN 978-0-750-64450-1. A. GUPTA and D.S. YAN. Mineral processing design and operation an introduction. Amsterdam: Elsevier, 2006. ISBN 9780444516367. MAC BERTHOUEX, Paul a Linfield C. BROWN. Statistics for Environmental Engineers. Boca Raton: CRC Press, 1994. ISBN 1-56670-031-0.

Way of continuous check of knowledge in the course of semester

Students work out computational programs assigned by the teacher. Credit test. Oral examination.

E-learning

Other requirements

Submission of properly solved exercise programs. Successful completion of credit test.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Sampling of raw materials, basic concepts 2. Evaluation of the upgradeability of raw materials, upgrading curves 3. Particle size analysis, classification curves 4. Calculation of yields of separation process products 5. Evaluation of efficiency of separation processes by yield method 6. Evaluation of separation processes efficiency by partition curve method 7. Other methods to evaluate the efficiency of separation processes 8. Basic statistical methods and their application in evaluation of technological processes, basic concepts 9. Tests on probability distribution parameters and their applications 10.Goodness of fit tests and their application 11.Basics of regression and correlation analysis and their applications 12.Analysis of variance and its application 13.Basic methods for planning experiments 14.statistical evaluation of experimental work

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester, validity until: 2021/2022 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 33  17
        Examination Examination 67  31 3
Mandatory attendence participation: Compulsory participation in exercises, maximum excused absence 15%, submission of correctly solved protocols

Show history

Conditions for subject completion and attendance at the exercises within ISP: Compensation for the mandatory participation in the ISP will be the preparation of a protocols. The course is completed with an oral and written examination.

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0788A290001) Waste Management and Mineral Processing P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0788A290001) Waste Management and Mineral Processing K Czech Ostrava 1 Compulsory study plan
2021/2022 (N0788A290001) Waste Management and Mineral Processing K Czech Most 1 Compulsory study plan
2020/2021 (N0788A290001) Waste Management and Mineral Processing K Czech Most 1 Compulsory study plan
2020/2021 (N0788A290001) Waste Management and Mineral Processing K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0788A290001) Waste Management and Mineral Processing P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2021/2022 Winter
2020/2021 Winter