N_EXM Experimental Methods
Institute of Technology and Business in České Budějovicesummer 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
- 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
Activities Number of Hours of Study Workload Daily Study Combined Study Preparation for Lectures 20 Preparation for Seminars, Exercises, Tutorial 16 40 Preparation for the Final Test 22 58 Elaboration of seminat work 20 20 Attendance on Lectures 26 Attendance on Seminars/Exercises/Tutorial/Excursion 26 12 Total: 130 130 - 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.
- Enrolment Statistics (summer 2019, recent)
- Permalink: https://is.vstecb.cz/course/vste/summer2019/N_EXM