638-0907/02 – System Analysis (SA)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantorprof. Ing. Miluše Vítečková, CSc.Subject version guarantorprof. Ing. Miluše Vítečková, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
VIT60 prof. Ing. Miluše Vítečková, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

This course provides doctoral students with the basics of optimal decision making in the use of applied probability theory, graphs and queuing.

Teaching methods

Individual consultations
Project work

Summary

Compulsory literature:

4. RARDIN R. L. Optimization in Operations Research. Prentice Hall, 2005. 5. KENDALL K., KENDALL J. System Analysis and Design. Pearson, 2013.

Recommended literature:

3. HILLIER F. S., LIBERMAN G. J. Introduction to Operational Research. Mc Graw Hill, 2005. 4. YEATES D., WAKEFIELD T. System Analysis and Design. Financial Times/Prentice Hall, 2003.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Elaboration of seminar work on a given topic.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

• Introduction to the topic and content of the studied subject. The theory of probability, conditional probability, relations between phenomena. • The probability of the hypothesis, repeated independent experiments. • Continuous random variables, characteristics, classification. • Discrete random variables, characteristics, classification. • Transformation of random variables, random variables. • Use of the theory of random variables in technique. • Graph theory, basic concepts and principles. • Minimum and maximum path in the graph algorithms solutions. • Critical path method - CPM and PERT, solution algorithms. • Problems postman, Salesman, tree problem solving. • Throughput transport network, solution algorithms. • Queueing systems. The system M / M / 1st • The M / M / n. • The use of queuing theory in technology.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner