M.SC. in Computer Engineering (Without Thesis)

EEE 505 | Course Introduction and Application Information

Course Name

Biomedical Signals and Instrumentations

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 505	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	Prof. Dr. Aydın AKAN
Course Lecturer(s)	Prof. Dr. Aydın AKAN
Assistant(s)	-

Course Objectives

This course will first cover basic molecular and cellular properties, physiological principles; then biomechanics, bioinstrumentation, bioimaging biotechnology, and biomaterials will be discussed to introduce the basic life sciences and engineering concepts associated with these topics.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	To explain medical and biomedical engineering terminology
2	To specify biomedical engineering problems related with electrical engineering and basic engineering
3	To model biomedical systems
4	To access to the engineering and medical literature and databases to do research
5	To express biomechanical properties of the human body
6	To describe the biomedical instrumentation and sensors
7	To explain the issues related with bioimaging and signal processing
8	To discuss biomolecular engineering problems, such as tissue engineering, nanotechnology, Engineering of Immunity

Course Description

Biomolecular and Cellular Principles, Physiological Principles, Biomechanics, Bioinstrumentation, Bioimaging and Signal Processing, Biotechnology, Engineering of Immunity, Biomaterials

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

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction to Biomedical Engineering	Chp 1 Textbook
2	Biomolecular Principles	Chp 2-4 Textbook
3	Cellular Principles	Chp 5 Textbook
4	Physiological Principles	Chp 6-7 Textbook
5	Physiological Principles	Chp 8-9 Textbook
6	Biomechanics	Chp 10 Textbook
7	Bioinstrumentation	Chp 11 Textbook
8	Midterm
9	Biosignals and Signal Processing	Course notes
10	Biosignals and Signal Processing	Course notes
11	Bioimaging and Signal Processing	Chp 12 Textbook
12	Bioimaging and Signal Processing	Chp 12 Textbook
13	Bioinformatics	Course notes
14	Biomaterials and Artificial Organs	Chp 15 Textbook
15	Review of the Semester
16	Review of the Semester

Course Notes/Textbooks	W. Mark Saltzman, Biomedical Engineering. Cambridge University Press, 2009
Suggested Readings/Materials	J. Enderle, S. Blanchard and J. Bronzino. Introduction to Biomedical Engineering. 2nd/e, Academic Press, 2005.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5	LO 6	LO 7	LO 8
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	1	30
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm	1	30
Final Exam	1	40
Total

Weighting of Semester Activities on the Final Grade	2	70
Weighting of End-of-Semester Activities on the Final Grade	1	30
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	15	4	60
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments	1	47	47
Presentation / Jury			0
Project			0
Seminar / Workshop			0
Oral Exam			0
Midterms	1	30	30
Final Exam	1	40	40
		Total	225

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	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	X	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	X
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	X	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	-	X
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	X
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	-	X
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	X	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	-	X
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	X	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	X	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	X	-	-	-