638-0909/02 – Modelling of Metallurgical Processes (MIP)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantorprof. Ing. Zora Koštialová Jančíková, CSc.Subject version guarantorprof. Ing. Zora Koštialová Jančíková, CSc.
Study levelpostgraduate
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesHGF, FMTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
JAN45 prof. Ing. Zora Koštialová Jančíková, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Combined Examination 28+0

Subject aims expressed by acquired skills and competences

Student will be able to formulate the basic methods of simulation models realization on the digital computer. Student will get an overview of the basic principles of mathematic-physical modelling, similarity and modelling and of classic and artificial intelligence methods necessary for model realization. Student will be able to create mathematical models of selected metallugical processes with aim of classic simulation programs and with artificial neural networks exploitation.

Teaching methods

Individual consultations

Summary

System modeling according to type of analogy. Analytic and experimental methods for mathematical description determination. System simulation, computer models creation. Software for simulation. Unconventional modeling – artificial intelligence. Models of neural networks. Application of described methods in selected metallurgical processes modeling.

Compulsory literature:

Jančíková, Z..: Modelling and simulation. Learning materials. Ostrava: VŠB-TU Ostrava, 2013.

Recommended literature:

Jančíková, Z..: Modelling and simulation. Learning materials. Ostrava: VŠB-TU Ostrava, 2013.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

seminary work elaboration

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Introduction to systems modelling, forms of description of dynamic system. Basic types of modelling (physical, mathematical, cybernetic.) Classification of models according to different viewpoints. Mathematical modelling, analytical and experimental methods of identification of mathematical system description. Simulation of systems, creation of system model, block diagrams. Simulation program SIPRO, SIMULINK,, creation of simulation models. Introduction to similarity and modelling theory, theorems of similarity. Derivation of general criterion equation by analysis of ratio equations. Derivation of general criterion equation using dimensional analysis. Unconventional modelling - artificial intelligence (fuzzy models, artificial neural networks, genetic algorithms). Introduction to neural networks, neuron models, neural network. Learning and generalization of neural networks, learning algorithms. Creation of neural networks models.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history
Combined form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner