545-0938/01 – Classification and Expert Systems (KES)

Gurantor departmentDepartment of Economics and Control SystemsCredits10
Subject guarantorprof. Ing. Juraj Spalek, PhD.Subject version guarantorprof. Ing. Juraj Spalek, PhD.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2016/2017Year of cancellation
Intended for the facultiesHGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
SPA0117 prof. Ing. Juraj Spalek, PhD.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

Introduction to basic methods used for classification and expert systems. Definition and description of input data that can be used to create an expert system. Furthermore, the basic realization of expert system using classification methods and application of technical problems

Teaching methods

Individual consultations

Summary

After an introductory section will discuss the basic concepts. It will be followed by an overview of classification methods describing their options and practical use. Furthermore, the basic architecture of an expert system will be discribed with an example of a simple implementation, which will eventually be supplemented by a classification system.

Compulsory literature:

A. Kidd, Knowledge Acquisition for Expert Systems: A Practical Handbook, 2012, e-ISBN-13: 978-1-4316-1823-1; S.J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach (2nd ed), Prentice-Hall, 2002. (1132 s.) ISBN-10: 0137903952, ISBN-13: 9780137903955

Recommended literature:

J. Pearl: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Paperback). Morgan Kaufmann, 1998 (552 s.) ISBN-10: 1558604790, ISBN-13: 978-1558604797

Way of continuous check of knowledge in the course of semester

Studenti prokazují své dovednosti zpracováním semestrálního projektu popisující vybranou část řídícího procesu či problému, kde by aplikovali získané znalosti. Tuto práci studenti musí obhájit ústní formou, tak aby byli schopni jednoznačné definovat své požadavky, které má případně realizovat jiný subjekt (například realizační firma).

E-learning

Podpora priebežnej formy štúdia počas semestra využívaním elektronickej formy diseminácie prednášok a pomocných podkladov k jednotlivým témam podľa osnovy predmetu.

Další požadavky na studenta

They will be specified at the beginning of the course.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. The basic concepts 2. Overview of classification methods 3. Examples implementation of classification methods 4. Filtration input data 5. The basic architecture of expert systems 6. Use of classification methods in expert systems 7. Overview of selected implementation of expert systems used in practice

Conditions for subject completion

Combined form (validity from: 2016/2017 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 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3970) Management of systems in the field of mineral resources P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3970) Management of systems in the field of mineral resources K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner