050-0509/02 – Expert Systems (EXPERT)

Gurantor departmentDepartment of Civil ProtectionCredits5
Subject guarantordoc. Ing. Pavel Šenovský, Ph.D.Subject version guarantordoc. Ing. Pavel Šenovský, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year4Semesterwinter
Study languageCzech
Year of introduction2018/2019Year of cancellation2024/2025
Intended for the facultiesFBIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
SEN76 doc. Ing. Pavel Šenovský, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 1+3
Part-time Credit and Examination 12+0
Distance Credit and Examination 8+0

Subject aims expressed by acquired skills and competences

The goal of the subject is to gain basic knowledge about: - expert systems, - neural networks, - genetic algorithms.

Teaching methods

Lectures
Tutorials
Project work

Summary

The student understands basics of the system analysis using UML (Universal Modeling Language) as a basis of the rule-based expert system development and also other possible applications of the artificial intelligence tools and approaches to solve real-life problems.

Compulsory literature:

Fowler, M. UML Distilled: A Brief Guide to the Standard Object Modeling Language. 3rd ed. Addison-Wesley Professional, 2003, 208 pp., ISBN 978-0321193681

Recommended literature:

Jackson, P. Introduction To Expert Systems. 3rd ed. Addison-Wesley, 1998, 560 pp., ISBN 978-0201876864. Heaton, J. Introduction to the Math of Neural Networks. Heaton Research, Inc., 2012, 119 pp.

Way of continuous check of knowledge in the course of semester

test

E-learning

Other requirements

Students will develop analysis of chosen ontology using UML or they will apply chosen artificial life method for solving given problem.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Introduction to artificial intelligence 2. UML and ontology modeling 3. Expert systems 4. Neural networks 5. Cellular automata 6. L-systems 7. Multi agent systems 8. Genetic algorithms 9. Case studies of artificial intelligence usage

Conditions for subject completion

Part-time form (validity from: 2018/2019 Winter semester, validity until: 2024/2025 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 45  16
        Examination Examination 55  28 3
Mandatory attendence participation: Missing of three seminaries during the semester is tolerated.

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Conditions for subject completion and attendance at the exercises within ISP: preparing and defending semestral project

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management P Czech Ostrava 4 Choice-compulsory study plan
2023/2024 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Ostrava 4 Choice-compulsory study plan
2023/2024 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Lázně Bohdaneč 4 Choice-compulsory study plan
2022/2023 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management P Czech Ostrava 4 Choice-compulsory study plan
2022/2023 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Ostrava 4 Choice-compulsory study plan
2022/2023 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Lázně Bohdaneč 4 Choice-compulsory study plan
2021/2022 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management P Czech Ostrava 4 Choice-compulsory study plan
2021/2022 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Ostrava 4 Choice-compulsory study plan
2021/2022 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Lázně Bohdaneč 4 Choice-compulsory study plan
2020/2021 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management P Czech Ostrava 4 Choice-compulsory study plan
2020/2021 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Ostrava 4 Choice-compulsory study plan
2020/2021 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Lázně Bohdaneč 4 Choice-compulsory study plan
2019/2020 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Ostrava 4 Choice-compulsory study plan
2019/2020 (B3908) Fire Protection and Industrial Safety (3908R003) Emergency Planning and Crisis Management K Czech Lázně Bohdaneč 4 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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