Course detail

Introduction to Bachelor Thesis - ŽP

FCH-BC_UBP_ŽPAcad. year: 2025/2026

The main aim is to teach students the rules of writing of scitific works (using as an example the Bc. work), standards of data acqusition and statistical processing of data, literature research, suggesting of hypotheses and conclusions.

Language of instruction

Czech

Number of ECTS credits

2

Mode of study

Not applicable.

Guarantor

doc. MVDr. Helena Zlámalová Gargošová, Ph.D.

Department

Institute of Chemistry and Technology of Environmental Protection (ÚCHTOŽP)

Entry knowledge

Basic knowledge from the informatics.

Rules for evaluation and completion of the course

Classification is based on the students project.
2 hours of seminars per week and semestral project.

Aims

The rules of writting of Bc. thesis.
After completing the course students will understand the basic rules and procedures for processing scientific texts, work with databases and the use of citations. Furthermore, they will be able to choose a relevant method for collecting, analyzing and presenting experimental data.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

individuálně dle tématu (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BKCP_AAEFCH Bachelor's 3 year of study, winter semester, compulsory
  • Programme BPCP_AAEFCH Bachelor's 3 year of study, winter semester, compulsory

Type of course unit

 

Exercise

26 hod., compulsory

Teacher / Lecturer

doc. MVDr. Helena Zlámalová Gargošová, Ph.D.

Syllabus

1. Introduction to the thesis: instructions and guidelines for the preparation of the thesis and the final exam, structure of scientific text and its components,
2. Rules for processing theses at FCH BUT, standards and rules for processing of the technical work, typographic rules, rules for preparation of charts, tables, images, attachments, appendices etc.,
3. Information resources and databases, rules for citations, laws and ethics,
4-5. Basics of experimental data processing - Introduction: Tools, Options, and methods of data processing, data collection, data processing.
6. to 13. individual topics