DEGREE PROGRAMMES

: Biomedical Tehnologies (English)

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 (Bachelor's Degree) diploma; minimum score of 55 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 65 from the graduate school entrance exam; a minimum score of 60 from the nation-wide Foreign Language Exam ( YDS ) or equivalent score from an exam accredited by YÖK or a minimum score of 70 from DEU School of Foreign Languages English Proficiency Test.

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

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:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 FBE 5557 SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS COMPULSORY 3 0 0 5
G 2 BMT 5098 M.SC. RESEARCH COMPULSORY 2 0 0 3
G 0 - ELECTIVE COURSE ELECTIVE - - - 22
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 BIP 6018 NEUROBIOLOGY AND COGNITION COMPULSORY 1 2 4
B 2 BMT 5096 M.SC. SEMINAR COMPULSORY 0 2 0 3
B 0 - ELECTIVE COURSE ELECTIVE - - - 23
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