Department of Biomedical Engineering

GBE 411 | Course Introduction and Application Information

Course Name

Design and Analysis in Bioengineering

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
GBE 411	SPRING	2	2	3	6

Prerequisites	None
Course Language	English
Course Type	Required (Core Course)
Course Level	First Cycle
Mode of Delivery	Face to Face
Teaching Methods and Techniques of the Course	Group Work Problem Solving Lecture / Presentation Application: Interactive Learning
National Occupational Classification Code	-
Course Coordinator	Doç. Dr. Mine Güngörmüşler
Course Lecturer(s)	Dr. Öğr. Üyesi Gülizar Çalışkan Doç. Dr. Mine Güngörmüşler Dr. Öğr. Üyesi Işınay Ebru Yüzay Dr. Öğr. Üyesi Fatma Pınar Gördesli Duatepe
Assistant(s)	-

Course Objectives

The aim of this course is to convey theoretical and practical concepts related to the interpretation and application of bioengineering principles and knowledge, acquired throughout the educational process, within the context of process design.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Identify design principles for a designated bioprocess.	3.1		X
LO2	Collect data on production processes.	1.5	X
LO3	Explain the process from raw material input to product output for a designated bioprocess.	4	X
LO4	Describe the selection of suitable equipment and bioreactor design for a designated bioprocess.	1.6		X
LO5	Discuss strategies for the design and analysis of separation and purification processes in a designated bioprocess.	3.2			X
LO6	Assess the feasibility of a bioprocess design for industrial production.	2			X

Course Description

This course covers the identification of design principles and methods encountered in bioengineering, tracking development processes, reviewing relevant resources, selecting and evaluating potential raw materials and productions, determining and utilizing capacity, creating process design flow diagrams, mass and energy balances for the selected system, equipment and bioreactor design, designing the separation and purification process, and conducting feasibility studies.

Related Sustainable Development Goals

Course Category	Core Courses	X
	Major Area Courses
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Definition of the bioprocess and development processes	Interactive study and articles Chapter 1, Bioprocess Engineering Principles (2nd Edition)	LO1
2	Market research, determination of capacity and raw materials	Interactive study and articles Chapter 3, Bioprocess Engineering Principles (2nd Edition)	LO2
3	Creation of flow diagrams	Interactive study and articles Chapters 4 and 5, Bioprocess Engineering Principles (2nd Edition)	LO2
4	Mass and energy balances	Interactive study and articles Chapters 4 and 5, Bioprocess Engineering Principles (2nd Edition)	LO3
5	Identification of basic equipment	Interactive study and articles Chapter 11, Bioprocess Engineering Principles (2nd Edition)	LO3
6	Pretreatments	Interactive study and articles Chapter 11, Bioprocess Engineering Principles (2nd Edition)	LO3
7	Research on reaction and microbial kinetics	Interactive study and articles Chapter 2, Bioprocess Engineering Principles (2nd Edition)	LO4
8	Review and Midterm		-
9	Explanation of bioreactor types and selection specific to the process, bioreactor design	Interactive study and articles Chapter 14, Bioprocess Engineering Principles (2nd Edition)	LO4
10	Bioreactor design	Interactive study and articles Chapter 14, Bioprocess Engineering Principles (2nd Edition)	LO4
11	Equipment selection , determination of piping system, pump, valve, connectors	Interactive study and articles Chapter 11, Bioprocess Engineering Principles (2nd Edition)	LO4
12	Evaluation of separation and purification processes	Interactive study Singh & Herzer (2018), Adv Biochem Eng Biotechnol, 165:115–178	LO5
13	Design and analysis of the separation and purification process Feasibility analysis	Interactive study Singh & Herzer (2018), Adv Biochem Eng Biotechnol, 165:115–178; Pollock et al. (2017), Biotechnol Prog, 33(4): 854–866	LO6
14	Project presentations		-
15	Project presentations		-
16	General semester review		-

Course Notes/Textbooks

Tietz Textbook of Clinical Chemistry and Molecular Diagnostics (6th edition). Rifai- Horvath- Wittwer. Elsevier 2018 ISBN: 978-0-323-35921-4 Computational Drug Discovery and Design. Springer Protocols- Humana Press- 2018. Gore and Jagtap. ISBN 978-1-4939-7755-0 Bioprocess Engineering Principles (2nd Edition)- Doran P- Academic Press- 2012. ISBN: 978-0122208515

Suggested Readings/Materials

Experimental design methods for bioengineering applications. Gundogdu et al. Crit Rev Biotechnol. 2016;36(2):368-88. Model-assisted design of experiments as a concept for knowledge-based bioprocess development. Moller et al. Bioprocess Biosyst Eng. 2019 May;42(5):867-882. Downstream Processing Technologies/Capturing and Final Purification : Opportunities for Innovation Change and Improvement. A Review of Downstream Processing Developments in Protein Purification. Singh and Herzer. Adv Biochem Eng Biotechnol. 2018;165:115-178. Integrated continuous bioprocessing: Economic operational and environmental feasibility for clinical and commercial antibody manufacture. Pollock et al. Biotechnol Prog. 2017 ; 33(4): 854–866. Heller et al. Annu Rev Anal Chem (Palo Alto Calif). 2018; 12;11(1):79-100.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5	LO6
Homework / Assignments	1	20	X	X
Presentation / Jury	1	20				X	X	X
Project	1	30			X	X	X	X
Midterm	1	30	X	X	X
Total	4	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	2	32
Laboratory / Application Hours	16	2	32
Study Hours Out of Class	14	2	28
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	5	3	15
Presentation / Jury	1	5	5
Project	1	20	20
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	18	18
Final Exam	-	-	-
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics	LO2
	6	The ability to apply this knowledge to solve complex engineering problems		LO4
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.				LO6
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems		LO1
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions			LO5
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.		LO3
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.