Subjects

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Bioengineering II - M319005

Title:	Bioinženýrství II
Guaranteed by:	Department of Biotechnology (319)
Faculty:	Faculty of Food and Biochemical Technology
Actual:	from 2024
Semester:	summer
Points:	summer s.:4
E-Credits:	summer s.:4
Examination process:	summer s.:
Hours per week, examination:	summer s.:1/2, Ex [HT]
Capacity:	unlimited / unlimited (unknown)
Min. number of students:	unlimited
Qualifications:
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Level:
Note:	course can be enrolled in outside the study plan enabled for web enrollment

Guarantor:	Halecký Martin doc. Ing. Ph.D.
Interchangeability :	N319016

Examination dates

This subject contains the following additional online materials

E-learning course

Annotation -

The course focuses on extending and deepening the theoretical knowledge acquired in Bioengineering I and its application to bioengineering data processing. Practical examples are used to gradually build the knowledge and skills apparatus for the individual steps towards achieving industrial implementation of bioprocesses - planning, processing, interpretation, scale-up/scale-down and modelling of bioengineering data from different scales of bioprocess. The course is primarily focused on acquiring knowledge and practical skills for the engineering implementation of individual phases of the bioprocess and the bioprocess as a whole.

Last update: Halecký Martin (20.01.2025)

Literature -

Recommended:

Moo-Young M.. Comprehensive Biotechnology. : Elsevier, 2019, s. ISBN 9780444640475.

Doran P. M.. Bioprocess Engineering Principles. London: Academic, 1995, s. ISBN 9780122208553 .

Dunn I. J. et al.. Biological Reaction Engineering. : Wiley-VCH, 2003, s. ISBN 9783527307593 .

Najafpour G. D.. Biochemical Engineering and Biotechnology. : Elsevier, 2007, s. ISBN 9780444528452.

Last update: prepocet_literatura.php (19.12.2024)

Syllabus -

01. Introduction and analysis of steps to achieve industrial implementation

02. Statistical processing of bioengineering data – Statistica program, descriptive statistics

03. Statistical processing of bioengineering data – hypothesis testing

04. Desing of experiments

05. Desing and evaluation of microscale experiments

06. Desing and evaluation of experiments in Erlenmeyer flasks, scale-up

07. Desing and evaluation of experiments in bioreactor, scale-up

08. Desing and evaluation of experiments in pilot bioreactor, scale-up and scale-down

09. Matlab and Simulink as advanced tools for modelling and simulation of bioengineering data

10. Mass model of bioprocess and simulation

11. Mass model of oxygen transfer and simulation

12. Heat transfer model and simulation

13. AI in biotechnology and bioengineering applications

14. Presentation of group projects

Last update: Halecký Martin (20.01.2025)

Learning resources -

https://e-learning.vscht.cz/course/view.php?id=461

Last update: Halecký Martin (20.01.2025)

Learning outcomes -

Students will be able to:

Analyse and design experiments to obtain bioengineering data.

Optimize and statistically evaluate bioengineering data for different scales of bioprocesses.

Model and simulate bioprocesses (mass and heat balance) using MATLAB.

Design a suitable production process to achieve industrial implementation of bioprocesses.

Last update: Halecký Martin (20.01.2025)

Registration requirements -

Bioengineering I

Biochemistry

Chemical engineering

Last update: Hladíková Jana (20.12.2017)

Teaching methods
	Activity	Credits	Hours
	Konzultace s vyučujícími	0.2	6
	Obhajoba individuálního projektu	0.1	3
	Účast na přednáškách	1.5	42
	Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi	1	28
	Práce na individuálním projektu	0.4	11
	Příprava na zkoušku a její absolvování	0.8	22
		4 / 4	112 / 112