VŠTE:N_TER Decis. theory - Course Information
N_TER Decision theory
Institute of Technology and Business in České Budějovicewinter 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
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 52 Preparation for Lectures 6 Preparation for Seminars, Exercises, Tutorial 10 10 Preparation for the Final Test 47 53 Příprava prezentace a obhajoba (in Czech) 5 5 Zpracování semestrálního projektu (in Czech) 10 20 Attendance on Lectures 26 Attendance on Seminars/Exercises/Tutorial/Excursion 52 26 Total: 182 182 - 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.
- Enrolment Statistics (winter 2024, recent)
- Permalink: https://is.vstecb.cz/course/vste/winter2024/N_TER