VŠTE:N_KVM Quantitative Methods - Course Information

N_KVM Quantitative Methods

Extent and Intensity

0/2/0. 3 credit(s). Type of Completion: z (credit).

Teacher(s)

Ing. Martin Telecký, 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_KVM/X01: Sat 21. 11. 8:00–9:30 D315, 9:40–11:10 D315, 11:25–12:55 D315, Sun 20. 12. 8:00–9:30 D315, 9:40–11:10 D315, M. Telecký

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

Lecture
Seminar
Exercise
Excursion - language
Tutorial
Consultation
Teaching Block - lecture
Teaching Block - seminar

Teaching Methods

Frontal Teaching
Group Teaching - Competition
Group Teaching - Cooperation
Project Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies

Student Workload

Activities	Number of Hours of Study Workload
	Daily Study	Combined Study
Preparation for the Mid-term Test	13	18
Preparation for Seminars, Exercises, Tutorial	16	16
Preparation for the Final Test	13	26
AnyLogic	10	10
Attendance on Seminars/Exercises/Tutorial/Excursion	26	8
Total:	78	78

Assessment Methods and Assesment Rate

Project – semestral 100 %

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

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. If the points are on the edge , the student has the possibility to ask for an oral examination by agreement with the teacher.

• Enrolment Statistics (winter 2020, recent)
  
• Permalink: https://is.vstecb.cz/course/vste/winter2020/N_KVM