VŠTE:OVY_2z Oper. Research II - Course Information

OVY_2z Operations Research II

Extent and Intensity

2/4/0. 7 credit(s). Type of Completion: zk (examination).

Teacher(s)

Ing. Jiří Čejka, Ph.D. (seminar tutor)
Ing. Martin Telecký, Ph.D. (seminar tutor)

Guaranteed by

Ing. Jiří Čejka, Ph.D.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice

Prerequisites (in Czech)

OVY_z Operations Research

Course Enrolment Limitations

The course is offered to students of any study field.

Course objectives supported by learning outcomes

Objective of the course in terms of learning outcomes and competences The aim of the subject is to acquaint students with the problems of other methods of operational analysis, the subject follows Operational research I. Students will get acquainted with the basic concepts of graphical methods of operational analysis and their use in transport and transport, understand the specifics of network analysis and other related processes. more complex methods of operational research.

Learning outcomes

The graduate is able to characterize graphical methods of operational analysis, can solve problems of complex mathematical methods.

Syllabus

• 1. Basic concepts of graph theory, general overview of more complex methods of operational analysis 2. Theory of graphs (some graph problems, finding optimal paths in a graph) 3. Graph Theory (Determining the Chart Skeleton, Shortest Path on the Chart) 4. Graph theory (optimization graph algorithms) 5. Network Analysis (CPM) 6. Network analysis (PERT method) 7. Network analysis (GERT method) 8. Theory of Information 9. Data packaging analysis models - DEA Homogeneous (CRS model, VRS model), 10. Efficiency assessment using DEA 11. Fundamentals of fuzzy logic 12. Fuzzy sets, set sharpness. 13. Simulation and modeling

Literature

required literature
• HÁJEK, Petr. 1998. Metamathematics of Fuzzy Logic. Dordrecht: Kluwer, 297 s.
• VOLEK, Josef. Linda BOHDAN. 2012. Teorie grafů, Pardubice, Univerzita Pardubice, 192 s. ISBN: 978-80-7395-225-9
• JABLONSKÝ, Josef. Operační výzkum : kvantitativní modely pro ekonomické rozhodování. 1. vyd. Praha: Professional Publishing, 2002, 323 s. ISBN 80-86419-23-1. info
• JABLONSKÝ, Josef. Operační výzkum. Vyd. 3. V Praze: Vysoká škola ekonomická, Fakulta informatiky a statistiky, 2001, 305 s. ISBN 80-245-0162-7. info

recommended literature
• KVASNIČKA, Michal a Dalibor MORAVANSKÝ. 2004. Ekonomicko-matematické metody : distanční studijní opora. Vyd. 1. Brno: Masarykova univerzita, Ekonomicko-správní fakulta, 116 s. ISBN 80-210-3477-7.

Forms of Teaching

Lecture
Seminar
Tutorial
Consultation

Teaching Methods

Frontal Teaching
Brainstorming
Critical Thinking

Student Workload

Activities	Number of Hours of Study Workload
	Daily Study	Combined Study
Preparation for presentation of the semester work	16	16
Preparation for the Mid-term Test	10	28
Preparation for Lectures	3
Preparation for Seminars, Exercises, Tutorial	3	3
Preparation for the Final Test	15	72
Elaboration of a semester project	37	37
Attendance on Lectures	46
Attendance on Seminars/Exercises/Tutorial/Excursion	52	26
Total:	182	182

Assessment Methods and Assesment Rate

Test – mid-term 30 %
Test – final 70 %

Exam conditions

Total Classification of the Course, ie points for the test (70 - 0) + points from the interim evaluation (30 - 0): A 100 - 90, B 89.99 - 84, C 83.99 - 77, D 76.99 - 73, E 72.99 - 70, FX 69.99 - 30, F 29.99 - 0.

Language of instruction

Czech

Teacher's information

Attendance in lessons is defined in a separate internal standard of ITB (Evidence of attendance of students at ITB). It is compulsory, except of the lectures, for full-time students to attend 70 % lesson of the subjet in a semester.

• Enrolment Statistics (winter 2024, recent)
  
• Permalink: https://is.vstecb.cz/course/vste/winter2024/OVY_2z