Course Details

Selected Items of Building Service Theory

Academic Year 2026/27

DTB042 course is part of 4 study plans

​ DPA-S Summer Semester 1st year

​ DKA-S Summer Semester 1st year

​ DPC-S Summer Semester 1st year

​ DKC-S Summer Semester 1st year

Solution of sectorial problem from selected field in heating, ventilation, air-cinditioning, cooling, sanitary installation, gass installation completed to theoretical and in some case experimental papers.

Credits

8 credits

Language of instruction

Czech

Semester

summer

Course Guarantor

prof. Ing. Jiří Hirš, CSc.

Institute

Institute of Building Services

Forms and criteria of assessment

examination

Entry Knowledge

Applied physics, applied mathematics, computer modelling, english language, basic of experimental measurements in Building services.

Aims

Professional knowledge

Analysis and dynamic simulation of the behavior of buildings and their systems. Scientific methodology and measurements in laboratories and in the field. Mathematical data processing.

Professional Skills

Ability to create complex dynamic models of buildings and systems. Ability to design laboratory measurements, calibrate instruments, and analyze measurement errors. Ability to identify current topics in global research and formulate scientific hypotheses. Ability to present research results in the form of scientific articles.

Professional Competencies

Theoretical knowledge in the field of building services engineering necessary for solving specific scientific problems. Competence in the methodical and systematic approach to research tasks.

Prerequisites

Applied physics, applied mathematics, computer modelling, english language, basic of experimental measurements in Building services.

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/302329

Lecture

13 weeks, 3 hours/week, elective

Syllabus

  • 1. Submission and definition of subject.
  • 2. Individual study of technical literature.
  • 3. Creation of literature backround research.
  • 4. Creation of model for problem solution.
  • 5. Definition of problem boundary conditions.
  • 6. Definition of simplification conditions for problem solution.
  • 7. Self theoretical solution of problem.
  • 8. Experimental calibration of theoretical solution of problem.
  • 9. Changes and verification of theoretical solution of problem.
  • 10. Elaboration and generalization of solving problem outputs.
  • 11. Elaboration of writen output.
  • 12.–13. Prezetation and discussion about compiled work (papers).