AN_SAM System analysis and modeling

Institute of Technology and Business in České Budějovice
summer 2026
Extent and Intensity
2/4/0. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Zdeněk Dušek, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Zdeněk Dušek, Ph.D.
Department of Informatics and Natural Sciences – School of Expertness and Valuation – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – School of Expertness and Valuation – Rector – Institute of Technology and Business in České Budějovice
Timetable of Seminar Groups
AN_SAM/P01: Tue 9:40–11:10 B5, Z. Dušek
AN_SAM/S01: Tue 11:25–14:25 E7, Z. Dušek
Prerequisites (in Czech)
FORMA(P)
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 the issues of more advanced optimization methods, game theory and models of mass service and methods that are applicable in logistics. The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Learning outcomes
The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Syllabus
1. Game theory (basic concepts, pure strategies) 2. Single matrix games (mixed strategies, graphic method) 3. Single matrix games (mixed strategies, simplex method) 4. Two-matrix games, a system with non-transferable winnings 5. Two-matrix games, system with portable winnings 6. Oligopoly model 7. Theory of collective service (models of collective service) 8. Theory of collective service (optimization in models of collective service) 9. Inventory theory 10. Structural analysis (principle and model s.a.) 11. Structural analysis (distribution and value equations) 12. DEA (CCR, BCC) 13. DEA (efficiency evaluation)
Literature
  • Dantzig, G.B., Thapa, M.N.: Linear Programming, 1: Introduction, Springer, 1997
  • Matoušek, J., Gartner, B.: Understanding and Using Linear Programming, Springer, 2007
Organizační formy výuky
Lecture
Seminar
Professional Practice
Tutorial
Consultation
Teaching Block - seminar
Komplexní výukové metody
Frontal Teaching
Group Teaching - Competition
Group Teaching - Cooperation
Group Teaching - Collaboration
Project Teaching
Brainstorming
Partner Teaching
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies
E-learning
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Self-study of materials1480
Preparation for the Mid-term Test20 
Preparation for Lectures5 
Preparation for Seminars, Exercises, Tutorial2624
Preparation for the Final Test20 
The elaboration of the test itself5 
Semester project1478
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion52 
Total:182182
Metody hodnocení a jejich poměr
Test – mid-term 30%
Test – final 70%
Podmínky testu
test - continuous (30 b) test - final (70 b) Final written test (max 70 points). Up to 30 points can be obtained for ongoing activities at the seminar. Lifelong learning students will receive 0-30 points for continuous assessment based on the results of continuous tests. The dates of these tests will be specified at the beginning of the semester in the first tutorial. Overall classification of the course, 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. The teacher has the right in case of unclear and controversial calculations in the test to ask the student for an explanation in the additional oral exam.
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.
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