N_KVM Quantitative Methods

Institute of Technology and Business in České Budějovice
winter 2018
Extent and Intensity
0/2/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Vladislav Biba, Ph.D. (seminar tutor)
Ing. Jiří Čejka, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Vladislav Biba, 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_KVM/L5: Sat 3. 11. 8:00–9:30 B5, 9:40–11:10 B5, 11:25–12:10 B5, Sat 15. 12. 13:50–14:35 B5, 14:50–16:20 B5, 16:30–18:00 B5, V. Biba
N_KVM/S01: Tue 13:05–14:35 D616, 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 quantitative methods with respect to the logistic processes, particulary: linear optimization (simplex method, two-step simplex method, duality), so-called transportation problem (finding basic feasible solution, improvement method) and basics of queuinq theory.
Learning outcomes
After the successful completing of the course, the student solves advanced tasks related to linear programming and graph theory (transportation problem, travelling salesman problem, shortest path).
Syllabus
  • 1. Introduction to the quantitative methods, applications 2. Linear programming (standard and graphics solution). 3. Linear programming (simplex method, duality). 4. Parametric linear programming. 5. Transportation problem (Indexing method, Vogel method, …). 6. Transportation problem(Modified distribution method). 7. Assignment problem (Hungarian algorithm). 8. Circular transportation problem – Travelling salesman problem. 9. Queuing theory and its applications. 10. Renewal theory. 11. Supply theory.. 12. Fuzzy modelling, Genetics algorithms, Neurons net, Soft computing. 13. Alternative quantitative methods and using in logistics.
Literature
    required literature
  • LINDA, Bohdan and Josef VOLEK. Lineární programování. Vyd. 4. Pardubice: Univerzita Pardubice, 2011, 139 s. ISBN 978-80-7395-426-0. info
  • VOLEK, Josef. Operační výzkum I. Vyd. 2., nezměn. Pardubice: Univerzita Pardubice, 2008, 111 s. ISBN 978-80-7395-073-6. Obsah info
    recommended literature
  • ZIMOLA, Bedřich. Operační výzkum, Brno: VUT v Brně, 2000. ISBN 80-214-1664-5
Forms of Teaching
Exercise
Teaching Methods
Frontal Teaching
Individual Work– Individual or Individualized Activity
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test1318
Preparation for Seminars, Exercises, Tutorial2626
Preparation for the Final Test1326
Attendance on Seminars/Exercises/Tutorial/Excursion268
Total:7878
Assessment Methods and Assesment Rate
Test – mid-term 30 %
Test – final 70 %
Exam conditions
First Test: 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. Possibility to repeat the test: 69,99 – 30, not fulfilled 29,99 – 0.
Language of instruction
Czech
The course is also listed under the following terms winter 2014, summer 2015, winter 2016, winter 2017, winter 2019, winter 2020, summer 2021.
  • Enrolment Statistics (winter 2018, recent)
  • Permalink: https://is.vstecb.cz/course/vste/winter2018/N_KVM