N_TER Decision theory

Institute of Technology and Business in České Budějovice
winter 2024
Extent and Intensity
2/4/0. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Jiří Čejka, Ph.D. (seminar tutor)
doc. RNDr. Zdeněk Dušek, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Zdeněk Dušek, 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
Timetable of Seminar Groups
N_TER/K5: Sun 20. 10. 8:00–9:30 D515, 9:40–11:10 D515, 11:25–12:55 D515, 13:05–14:35 D515, Sat 2. 11. 8:00–9:30 D415, 9:40–11:10 D415, 11:25–12:55 D415, 13:05–14:35 D415, Sat 14. 12. 11:25–12:55 I317B, 13:05–14:35 I317B, 14:50–16:20 I317B, 16:30–18:00 I317B, J. Čejka
N_TER/P01: Mon 8:00–9:30 E6, J. Čejka
N_TER/S01: Mon 11:25–12:55 D416, Mon 13:05–14:35 D416, J. Čejka
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives supported by learning outcomes
The aim of the course is to acquaint students with knowledge of decision theory, probabilistic models and methods applied in these processes. The graduate of the course is able to name and describe selected exact methods and use them for making decisions under various conditions including application to practical problems.
Learning outcomes
The graduate of the course is able to name and describe selected exact methods and use them to make decisions under various conditions, including application to practical problems.
Syllabus
  • 1. Basic concepts of decision theory, decision-making processes and management. 2. Probability distribution 3. Probabilistic trees 4. Decision trees, decision tables. 5. Decision-making under risk, decision-making models - methods and applications in logistics. 6. Decision making under uncertainty, models of decision making - methods and applications in logistics. 7. Method of linear programming in decision making. 8. Multi-criteria optimization - introduction, methods of weight determination. 9. Multicriteria evaluation of variants - simple methods, use. 10. Multi-criteria evaluation of variants - more complex methods. 11. Vector optimization - simple methods, applications. 12. Vector optimization - more complex methods. 13. Approximate decision-making methods.
Literature
    required literature
  • ŠUBRT, T a kol., 2015. Ekonomicko matematické metody – 2 vydání. Plzeň, 332 s. ISBN 978-80-7380-563-0.
    recommended literature
  • JABLONSKÝ, J., 2007. Operační výzkum: kvantitativní modely pro ekonomické rozhodování. 3. vyd. Praha: Professional Publishing, 323 s. ISBN 978-80-86946-44-3.
  • VOLEK, J., 2008. Operační výzkum I. Vyd. 2., Pardubice: Univerzita Pardubice, 111 s. ISBN 978-80-7395-073-6.
  • PLEVNÝ, M. a M. ŽIŽKA, 2010. Modelování a optimalizace v manažerském rozhodování. 2. vyd. Plzeň: ZČU, 298 s. ISBN 978-80-7043-933-3.
Forms of Teaching
Lecture
Seminar
Exercise
Excursion - language
Tutorial
Consultation
Teaching Block - lecture
Teaching Block - seminar
Teaching Methods
Frontal Teaching
Group Teaching - Competition
Group Teaching - Cooperation
Project Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for presentation of the semester work1616
Preparation for the Mid-term Test1052
Preparation for Lectures6 
Preparation for Seminars, Exercises, Tutorial1010
Preparation for the Final Test4753
Příprava prezentace a obhajoba (in Czech)55
Zpracování semestrálního projektu (in Czech)1020
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion5226
Total:182182
Assessment Methods and Assesment Rate
Test – mid-term 30 %
Test – final 70 %
Seminary Work 30 %
Exam conditions
Overall classification of the subject, ie points for the test (70 - 0) + points from the continuous assessment (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.
The course is also listed under the following terms winter 2020, summer 2021, winter 2021, winter 2022, winter 2023.
  • Enrolment Statistics (recent)
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