| Course title | Optimal Decision Making |
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| Course code | KI/EOPR |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 7 |
| Language of instruction | English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Course availability | The course is available to visiting students |
| Lecturer(s) |
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| Course content |
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1. Linear programming (LP) formulation and mathematical properties. 2-4. Solution of LP problems: graphical method, primal simplex method, big M method, duality theory in linear programming (dual simplex method) 5-7. The transportation and the assignment problem, travelling salesman problem, formulation, methods of solving (MODI method, Hungarian method, TSP as LP problem) 8-9. Project management and scheduling: CPM and PERT method, cost slope analysis 10-11. Introduction to the queueing theory, Kendall?s notation, M/M/1 and M/M/m models 12-13. Complex models: M/M/1/k and M/M/m/k and their applications
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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This course is focused on an introduction to optimal decision making. The topics covered in the course are: linear programming, projects management and scheduling methods and introduction to the queueing theory. As a problem base domain, examples from economy and informatics are taken. An integral part of the course is solving practical real-world problems with the use of appropriate software.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
Exam: written test focused on solving examples together with seminar work and oral examination Prerequisites: Basics from linear algebra and analysis (differential calculus) |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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