Dokuz Eylül University Information Package / Courses Catalog

General Description

History

Biomedical Technologies is an interdisciplinary program, which offers joint training with Ege University, opened under the Institute of Natural and Applied Sciences of DEU. Meeting of the Executive Committee of the Board of Higher Education (dated 01.13.2011) examined and decided to open the Master's Degree program with thesis. Students who will graduate from this program will be highly trained in Biomedical Engineering (especially Biomedical Instrumentation and Biomedical Signal Processing in particular).

Qualification Awarded

M.Sc. in Biomedical Technologies

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle Degree in the same or in related disciplines, Transcript, Acceptable score on ALES (Academic Personnel and Graduate Education Entrance Exam) or Equivalent GRE, GMAT score. Acceptable score on Language Proficiency Tests. Acceptable weighted score based on the first cycle cumulative grade point average (GPA) and ALES score. The exceptions to the requirements of ALES and Foreign Language Proficiency scores is announced by the Graduate School. However, ALES requirement is waived for the admissions to the second cycle graduate programs offered by the Conservatory and the departments of Fine Arts Faculty, where students are admitted only by the Artistic Aptitude Test as well as for the graduates of doctorate /arts proficiency/medical residency/ dental residency/ veterinary residency/ pharmaceutical residency programs. Final admission is based on the evaluation of the related academic unit committee. International student admission requirements are decided by the Graduate School Executive Committee.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

2 years (excluding one year of English Preparatory School), 2 semesters per year, 16 weeks per semester, 120 ECTS in total.

Profile of the Programme

The Master's program in Biomedical Technology, together with the diverse fields it cover, aims to perform research and development, as well as training activities in the field of Biomedical Engineering, in order to help close gaps of our country in skilled personnel. Purpose of this direction is to provide, a high quality higher education on biomedical sciences and related technology disciplines to the students considering a career in the field of biomedical technologies. A total of 13 academicians from different disciplines such as Computer Engineering, Electrical and Electronics Engineering, Bioengineering (Ege University) and Medicine Faculty Biophysics departments are participating in the program.
Biomedical Laboratory serves for development of biomedical systems, processing of signals measured from biological systems (i.e. EEG, ECG), and processing of pre-acquired medical images (such as MRI, CAT, X-ray imaging systems) for diagnostic purposes. Computer Lab: Computer applications of lectures are performed in this laboratory. Each student can use a computer on his/her own with internet access. Basic Electrical Lab: Hardware implementations of lectures can be performed.
Percentage of Courses Taught in English: 100%

Key Learning Outcomes

1	To provide design service in biomedical technologies field in a qualified manner from theory to application.
2	To have the ability to design experiments to solve problems encountered in the biomedical technologies field and to have the knowledge necessary for evaluating and interpreting the results obtained.
3	To be aware of the local and global effects in the biomedical technologies field.
4	To be creative and to use this for the research and development of new products.
5	To be aware of the helath-, social and environment-related topics and behave ethically in the solution of engineering problems.
6	To be able to lead multidisciplinary teams by using effective communication skills.
7	To know and apply standards, norms and regulations necessary for a human oriented design.
8	To have life-long learning ability neceessary to stay informed of the new developments in the ever-changing world and to use new ideas and methods he/she learned in the development of biomedical technnologies.
9	To have both verbal and written communicate skills necessary for communication with his/her colleagues and to effectively follow new developments in biomedical technologies field using his/her English knowledge.
10	To use in an advanced manner computer programs and information/communication technologies requaired by the biomedical technologies field.

Occupational Profiles of Graduates with Examples

Graduates may work on the design, production, sales, research and development, and calibration areas of the medical sector. They get important positions in the medical institutions or in the producer or supplier firms that provide service to the medical institutions.

Access to Further Studies

May apply to third cycle programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). -BIP 6002, BIP6007, BIP6018 are M. Sc. level courses to be taken from the Graduate School of Health Sciences. -EÜN 0503, EÜN 0545, EÜN 0506, EÜN 0546, EÜN 0614 are M. Sc. level courses to be taken from the Aegean University. -BMT 5013, BMT 5015, (MAT 5001 or MAT 5041) courses are obligatory for students graduated from Medicine and Health Sciences.-EEE 5095, (BIP 6018 or EÜN0546), (EEE 5501, MAT 5001, MAT 5002 only one of these) is obligatory for Engineering, Physics, Chemistry, Statistics graduates.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year
1 .Semester:
G	1	FBE 5557	SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS	COMPULSORY	3	0	0	5
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	25
TOTAL:								30

1 .Semester Elective:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
G	1	CSE 5061	TEXT BASED INFORMATION RETRIEVAL	ELECTIVE	3	0	0	8
G	2	BIP 6007	SYSTEMS THEORY OF THE BRAIN I	ELECTIVE	2	2		6
G	3	EEE 5069	ADAPTIVE FILTER THEORY	ELECTIVE	3	0	0	8
G	4	EEE 5073	STATISTICAL PATTERN RECOGNITION	ELECTIVE	3	0	0	8
G	5	STA 5021	STATISTICAL SOFTWARE İN DATA ANALYSIS	ELECTIVE	2	2	0	7
G	6	STA 5069	BIO-STATISTICS	ELECTIVE	3	0	0	7
G	7	CSE 5001	HUMAN-COMPUTER INTERACTION	ELECTIVE	3	0	0	7
G	8	STA 6015	DATA MINING TECHNIQUES IN STATISTIC	ELECTIVE	3	0	0	8
G	9	EEE 5095	PHYSIOLOGY FOR ENGINEERS	ELECTIVE	3	0	0	8
G	10	BMT 5001	BIOELECTROMAGNETISM	ELECTIVE	2	2	0	8
G	11	BMT 5003	BIOMEDICAL IMAGE PROCESSING	ELECTIVE	3	0	0	8
G	12	BMT 5005	BIOMEDICAL SENSORS	ELECTIVE	3	0	0	8
G	13	BMT 5007	WAVELETS IN BIOMEDICAL SIGNAL PROCESSING	ELECTIVE	3	0	0	8
G	14	BMT 5013	BIOMEDICAL COMPUTING	ELECTIVE	2	2	0	8
G	15	BMT 5015	BIOMEDICAL ELECTRONICS	ELECTIVE	3	0	0	8
G	16	BMT 5017	BIOMEDICAL OPTICS	ELECTIVE	3	0	0	7
G	17	EEE 5105	HRV ANALYSIS	ELECTIVE	2	2	0	8
G	18	BMT 5019	MEDICAL DEVICES	ELECTIVE	3	0	0	7
G	19	BMT 5037	BIOHEAT TRANSFER	ELECTIVE	3	0	0	8
G	20	EEE 5503	LINEAR SYSTEMS THEORY I	ELECTIVE	3	0	0	9
G	21	MAT 5101	APPLIED MATHEMATICS	ELECTIVE	3	0	0	9
G	22	MAT 5141	MATHEMATICAL METHODS	ELECTIVE	3	0	0	9
G	23	CSC 5053	FUZZY DATA ANALYSIS	ELECTIVE	3	0	0	8
G	24	CSE 5005	BIOINFORMATICS ALGORITHMS	ELECTIVE	3	0	0	9
G	25	CSE 5007	MACHINE LEARNING AND REASONING	ELECTIVE	3	0	0	9
G	26	BMT 5035	BIODESIGN IN BIOMEDICAL ENGINEERING	ELECTIVE	3	0	0	7
G	27	EEE 5029	ARTIFICIAL NEURAL NETWORKS	ELECTIVE	3	0	0	7

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	BMT 5098	M.SC. RESEARCH	COMPULSORY	2	0	0	3
B	2	BIP 6018	NEUROBIOLOGY AND COGNITION	COMPULSORY	1	2		4
B	3	BMT 5096	M.SC. SEMINAR	COMPULSORY	0	2	0	3
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	20
TOTAL:								30

2 .Semester Elective:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	CSE 5032	ARTIFICIAL INTELLIGENCE	ELECTIVE	3	0	0	8
B	2	BIP 6002	SYSTEMS THEORY OF THE BRAIN II	ELECTIVE	2	2		5
B	3	CSE 6008	GENETIC PROGRAMMING	ELECTIVE	3	0	0	8
B	4	EEE 5030	NEURAL NETWORKS FOR SIGNAL PROCESSING	ELECTIVE	3	0	0	8
B	5	EEE 5076	BIOMEDICAL SIGNAL PROCESSING	ELECTIVE	3	0	0	8
B	6	MME 5028	NANOTECHNOLOGY	ELECTIVE	3	0	0	8
B	7	CSE 5002	EVOLUTIONARY COMPUTATION	ELECTIVE	3	0	0	9
B	8	STA 6016	SOFT COMPUTING TECHNOLOGIES	ELECTIVE	3	0	0	8
B	9	EEE 5088	BIOMEDICAL INSTRUMENTATION	ELECTIVE	3	0	0	8
B	10	BYT 5018	BIONANOTECHNOLOGY	ELECTIVE	3	0	0	8
B	11	EEE 5106	MAGNETIC RESONANCE IMAGING	ELECTIVE	3	0	0	8
B	12	MME 5052	POLYMERIC BIOMATERIALS	ELECTIVE	3	0	0	7
B	13	BMT 5028	BIOMETRIC SYSTEMS	ELECTIVE	3	0	0	7
B	14	BMT 5030	CARDIOVASCULAR ENGINEERING	ELECTIVE	3	0	0	7
B	15	BMT 5022	BIOMATERIALS: CELL-SURFACE INTERACTIONS	ELECTIVE	3	0	0	7
B	16	BMT 5034	ANALYSIS METHODS I	ELECTIVE	3	0	0	7
B	17	BMT 5036	SIGNALS AND SYSTEMS FOR BIOMEDICAL TECHNOLOGIES	ELECTIVE	3	0	0	7
B	18	BMT 5024	PATHOPHYSIOLOGY	ELECTIVE	3	0	0	7
B	19	BMT 5020	BIOETHICS	ELECTIVE	2	0	0	4
B	20	BYM 0546	CELL AND TISSUE ENGINEERING	ELECTIVE	3	0	0	8
B	21	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	ELECTIVE	3	0	0	9
B	22	CSC 5038	FUZZY CLUSTERING AND CLASSIFICATION TECHNIQUES	ELECTIVE	3	0	0	8
B	23	CSE 5006	DATA MINING AND KNOWLEDGE DISCOVERY	ELECTIVE	3	0	0	9
B	24	CSE 5014	KNOWLEDGE BASED SYSTEMS	ELECTIVE	3	0	0	9
B	25	CSE 5066	MULTIMEDIA INFORMATION RETRIEVAL	ELECTIVE	3	0	0	8

3.Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
G	1	BMT 5099	M.SC. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

4.Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	BMT 5099	M.SC. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades.
The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Second Cycle (Master's Degree) Programme with thesis is comprised of courses (at least 54 ECTS), a seminar (3 ECTS), M. Sc. Research (3 ECTS) and M. Sc. Thesis (60 ECTS), in total 120 ECTS credits. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Head of the Department : Prof. Dr. Mehmet KUNTALP
mehmet.kuntalp@deu.edu.tr
Dokuz Eylül University,
Faculty of Engineering,
Department of Electrical and Electronics Engineering,
Kaynaklar Campus,
35160, Buca, İZMİR, TÜRKİYE,
Phone:+90 232 301 71 55

DEGREE PROGRAMMES