N_EXM Experimental Methods

Institute of Technology and Business in České Budějovice
summer 2019
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Jiří Čejka, Ph.D. (seminar tutor)
Mgr. Tomáš Náhlík, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Rudolf Kampf, Ph.D., MBA
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_EXM/L4: Sat 2. 3. 8:00–9:30 A6, 8:00–9:30 A6, 9:40–11:10 A6, 9:40–11:10 A6, 11:25–12:55 A6, 11:25–12:55 A6, Sun 3. 3. 8:00–9:30 A6, 8:00–9:30 A6, 9:40–11:10 A6, 9:40–11:10 A6, 11:25–12:55 A6, 11:25–12:55 A6, T. Náhlík
N_EXM/P01: Mon 13:05–14:35 A5, T. Náhlík
N_EXM/S01: Mon 14:50–16:20 A5, T. Náhlík
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 make students familiar with the methods of measurements and methodology of problem solving in the field of transport and logistics. At the end of the course students will be able to indetify basic experimental methods, assess the experimental process complexity, and to design the related technical solutions.
Learning outcomes
· Students will acquire practical and theoretical knowledge on how to design and develop experiments from different areas together with the protocol · Experience with various simulations (NetLogo, numerical simulation using MS Excel) · Student will gain practical knowledge about application of statistical variables · The transport and logistics section provides students with knowledge of how the intersections are being programmed and solved, how they are simulated
Syllabus
  • 1. Basics of experiment theory, problem solving process, technical experiment as a source of knowledge. 2. Basics of probability theory 3. Statistical methods and their application in experiments 4. Theory of measurement 5. Measurement errors, error propagation, and digital arithmetic 6. Measurement protocol 7. Design of Experiment - DoE 8. Computer simulations 9. Finite Element Method, Monte Carlo Method 10.Testing hypotheses 11.Queuing Theory 12.Optimalization through the intersection 13.Modeling of transport
Literature
    required literature
  • Modelování systémů a procesů. 2001. info
  • SVITEK, M. Quantum System Theory: Principles and Applications. VDM Verlag Dr. Müller, 2010. info
Forms of Teaching
Lecture
Seminar
Excursion - language
Tutorial
Consultation
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
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for Lectures20 
Preparation for Seminars, Exercises, Tutorial1640
Preparation for the Final Test2258
Elaboration of seminat work2020
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion2612
Total:130130
Assessment Methods and Assesment Rate
Test – final 60 %
Seminary Work 40 %
Exam conditions
Successful graduates of the course have to get totally at least 70 points: 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.
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.
The course is also listed under the following terms Summer 2016, summer 2017, summer 2018, winter 2018, winter 2019, summer 2020, summer 2021, summer 2022, winter 2022.
  • Enrolment Statistics (summer 2019, recent)
  • Permalink: https://is.vstecb.cz/course/vste/summer2019/N_EXM