Course detail

Projekt

FSI-K-3PRAcad. year: 2026/2027

In this course, students develop their own project – primarily based on real data from their home organization, or they may use sample industry data and assignments prepared by the course guarantor. Emphasis is placed on the ability to independently define the project scope, critically evaluate data quality and availability, select an appropriate calculation methodology, and correctly interpret the results. The output of the course is a comprehensively developed solution and its defense in the form of a final presentation, which simulates reporting the results to company management or relevant stakeholders.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

Ing. David Poul, Ph.D.

Department

Institute of Process Engineering (ÚPI)

Entry knowledge

The project utilizes all relevant knowledge and skills acquired by the student throughout their previous studies. The depth of the topic's resolution is adapted to the student's capabilities.

Rules for evaluation and completion of the course

Attendance at direct teaching sessions, submission, and defense of the project.

Aims

Application of knowledge and skills, and the acquisition of practical experience while developing a personal proposal and project. Upon completion of the course, the student is able to:

  • independently implement a technical project,
  • create a professional/technical report for the project,
  • defend the project.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme CZV3-VKEI Lifelong learning - long-term course 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Seminar

26 hours, optionally

Teacher / Lecturer

Ing. David Poul, Ph.D.

Syllabus

Phase 1: Preparation and Definition of the Assignment

  • Selection of the topic and setting project goals

  • Defining the scope

Phase 2: Data Collection and Methodological Framework

  • Data: Identification of sources, assessment of data availability, completeness, and quality/cleanliness.

  • Methodology and solution procedure: Selection of the processing methodology, selection of appropriate emission factors and databases.

  • Data processing: Data transformation and cleaning, inventory, identification of risks associated with missing data, and their estimation.

Phase 3: Implementation, Calculations, and Interpretation

  • Project execution according to the established methodology.

  • Consultation of preliminary results with the mentor.

  • Data visualization, interpretation of calculated values (identification of environmental hotspots).

  • Verification and validation of results (sensitivity and uncertainty checks).

Phase 4: Conclusions and Defense

  • Proposal of follow-up steps (mitigation measures, decarbonization strategies) and their evaluation.

  • Final presentation and final delivery of the project.