N_TOR Decision theory

Institute of Technology and Business in České Budějovice
winter 2019
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/L6: Sun 10. 11. 8:00–9:30 A5, 9:40–11:10 A5, 11:25–12:55 A5, Sun 8. 12. 8:00–9:30 A5, 9:40–11:10 A5, 11:25–12:55 A5, J. Čejka
N_TOR/P01: Mon 9:40–11:10 A2, J. Čejka
N_TOR/S01: Tue 11:25–12:55 A2, 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
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test1312
Preparation for Lectures13 
Preparation for Seminars, Exercises, Tutorial1324
Preparation for the Final Test1356
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion2612
Total:104104
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
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. If the points are on the edge , the student has the possibility to ask for an oral examination by agreement with the teacher.
The course is also listed under the following terms winter 2014, summer 2015, winter 2015, Summer 2016, winter 2016, summer 2017, winter 2017, summer 2018, winter 2018, summer 2019, summer 2020, winter 2020, summer 2021.
  • Enrolment Statistics (winter 2019, recent)
  • Permalink: https://is.vstecb.cz/course/vste/winter2019/N_TOR