Introduction to Bachelor Thesis - BT
FCH-BCA_UBP_BTAcad. year: 2018/2019
The main aim of the subject is to acquaint students with the contemporary measurement methods which are utilized in chemical engineering practise. The accent is also put on the processing and critical evaluation of results of chemical and physical quantities measurement. The lectures and seminars refer to mainly those areas: metrology, measurement errors and uncertainty, measuring instruments, measurement of electrical quantities, measurement of non electrical quantities, digitalization and digital processing of the analog data, processing and data evaluation systems, pressure measurement, temperature measurement, flow and mass flow control, liquid level measurement, measurement of concentration, optical measurements.
Learning outcomes of the course unit
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.
Basic knowledge from the informatics.
Recommended optional programme components
Recommended or required reading
Planned learning activities and teaching methods
The course uses teaching methods in form of seminars - 2 teaching hours per week. The e-learning system (LMS Moodle) is available to teachers and students.
Assesment methods and criteria linked to learning outcomes
Classification is based on the students project.
Language of instruction
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. Basics of experimental data processing - Introduction: Tools, Options, and methods of data processing,
5. Basics of experimental data processing - statistical surveys: data collection, data processing, display and basic data analysis, expression variability, measures of location, diameter grouped data, weighted average, correlation, linear regression,
6. Basics of experimental data processing - measurement uncertainty: uncertainty of direct measurement, indirect measurement uncertainty, combined and expanded uncertainty,
7. to 13. individual topics for specialists teaching.
The main aim of the subject is to acquaint students with the contemporary measurement methods which are utilized in chemical engineering practise. The accent is also put on the processing and critical evaluation of results of chemical and physical quantities measurement. The lectures and seminars refer to mainly those areas: metrology, measurement errors and uncertainty, measuring instruments, processing and data evaluation systems, etc.
Specification of controlled education, way of implementation and compensation for absences
2 hours of seminars per week and semestral project.