VŠTE:N_TOR Decision theory - Course Information
N_TOR Decision theory
Institute of Technology and Business in České Budějovicewinter 2018
- 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/L5: Sun 7. 10. 8:00–9:30 A5, 9:40–11:10 A5, Sun 4. 11. 8:00–9:30 A5, 9:40–11:10 A5, Sun 2. 12. 8:00–9:30 B2, 9:40–11:10 B2, J. Čejka
N_TOR/P01: Mon 9:40–11:10 A7, J. Čejka
N_TOR/S01: Mon 11:25–12:55 A5, J. Čejka - Course Enrolment Limitations
- The course is offered to students of any study field.
- 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 (both antagonistic and non-antagonistic games), methods for decision-making under uncertainity and risk and methods in multicriteria decision-making.
- Learning outcomes
- 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 Block - tutorial - 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 12 Preparation for Lectures 13 Preparation for Seminars, Exercises, Tutorial 13 24 Preparation for the Final Test 13 56 Attendance on Lectures 26 Attendance on Seminars/Exercises/Tutorial/Excursion 26 12 Total: 104 104 - 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 2018, recent)
- Permalink: https://is.vstecb.cz/course/vste/winter2018/N_TOR