VŠTE:N_TOR Decision theory - Course Information
N_TOR Decision theory
Institute of Technology and Business in České Budějovicewinter 2016
- Extent and Intensity
- 2/2/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Jiří Čejka, 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 - Timetable of Seminar Groups
- N_TOR/L3: Sun 13. 11. 14:50–16:20 B5, 16:30–18:00 B5, 18:10–19:40 B5, Sat 10. 12. 14:50–16:20 B5, 16:30–18:00 B5, 18:10–19:40 B5, J. Čejka
N_TOR/P01: Wed 8:00–9:30 A5, J. Čejka
N_TOR/S01: Mon 9:40–11:10 A6, J. Čejka
N_TOR/S02: Mon 11:25–12:55 E7, J. Čejka - Prerequisites (in Czech)
- MAX_KOMBINOVANYCH ( 96 ) && MAX_PREZENCNICH ( 60 )
- Course Enrolment Limitations
- The course is offered to students of any study field.
The capacity limit for the course is 156 student(s).
Current registration and enrolment status: enrolled: 0/156, only registered: 1/156 - Course objectives supported by learning outcomes
- The aim of this course is to introduce the students to the decision theory (also known as rational choice theory), game theory and related models and methods. After the successful completing of the course, the student can describe exact methods and make decision under various conditions.
- Syllabus
- 1. Decision theory, basic notions and introduction. 2. Game theory - notions and methods. 3. Gamme theory - logistic methods. 4. Decision tree, decision table. 5. Decision models, risk. 6. Decision-making under uncertainty, applications in logistics. 7. Decisions and linear programming. 8. Multiple-criteria decision analysis - introduction. 9. Basic methods of multi-criteria evaluation. 10. Advanced methods of multi-criteria evaluation. 11. Vector optimization - simple methods and applications. 12. Vector optimization - advanced methods. 13. Approximate methods for decision.
- Literature
- required literature
- VOLEK, Josef. Operační výzkum I. Vyd. 2., nezměn. Pardubice: Univerzita Pardubice, 2008, 111 s. ISBN 978-80-7395-073-6. Obsah info
- recommended literature
- LINDA, Bohdan and Josef VOLEK. Lineární programování. Vyd. 4. Pardubice: Univerzita Pardubice, 2011, 139 s. ISBN 978-80-7395-426-0. info
- Forms of Teaching
- Lecture
Seminar
Consultation - Teaching Methods
- Frontal Teaching
Group Teaching - Cooperation
Teaching Supported by Multimedia Technologies
- Student Workload
Activities Number of Hours of Study Workload Daily Study Combined Study Preparation for the Mid-term Test 13 Preparation for Lectures 13 Preparation for Seminars, Exercises, Tutorial 13 Preparation for the Final Test 13 Attendance on Lectures 26 Attendance on Seminars/Exercises/Tutorial/Excursion 26 Total: 104 0 - Assessment Methods and Assesment Rate
- Exam – written 70 %
Test – mid-term 30 % - Exam conditions
- Grading of the course: First Test/Seminar Work/ … : maximum 30% (0-30 points), Final Test: maximum 70% (0-70 points). Successful graduates of the course have to get totally at least 70 points: 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
- https://is.vstecb.cz/auth/el/5610/zima2014/N_TOR/index.qwarp
- Enrolment Statistics (winter 2016, recent)
- Permalink: https://is.vstecb.cz/course/vste/winter2016/N_TOR