Third Cycle Programmes
    (Doctorate Degree)
Second Cycle Programmes
    (Master's Degree)
First Cycle Programmes
    (Bachelor's Degree)
Short Cycle Programmes
    (Associate's Degree)
 
Third Cycle Programmes (Doctorate Degree)

Graduate School of Health Sciences - Biophysics - Third Cycle Programme



General Description
History
1982
Qualification Awarded
The Doctorate Degree (PhD) in Biophysics
Level of Qualification
Third Cycle
Specific Admission Requirements
The applicants who hold a Master's Degree and willing to enroll in the Doctorate programme may apply to the Directorate of Graduate School with the documents. 1-Sufficient score (at least 55 out of 100) from the Academic Staff and Graduate Study Education Exam (ALES) conducted by Student Selection and Placement Center (OSYM) or GRE Graduate Record Examination (GRE) score or Graduate Management Admission Test (GMAT) score equivalent to ALES score of 55. 2-English proficiency (at least 70 out of 100 from the Profiency Exam conducted by Ege University Foreign Language Department, or at least 55 out of 100 from ÜDS (University Language Examination conducted by OSYM) or TOEFL or IELTS score equivalent to UDS score of 55. The candidates holding Bachelor's or Master's Degree taught totally in English are exempted from English proficiency requirement. The candidates fulfilling the criteria outlined above are invited to interwiev. The assessment for admission to masters programs is based on : 50% of ALES, 15% of academic success in the undergraduate programme (cumulative grade point average (CGPA) ) 10 % of academic success in the master's programme and 25% of interview grade. The required minimum interview grade is 60 out of 100. The candidates having an assessed score of 65 at least are accepted into the Doctorate programme. The results of the evaluation are announced by the Directorate of Graduate School.
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
The rules for recognition of formal prior learning are well defined. A student who is currently enrolled in a Doctorate Degree programme in the same discipline at another institution and has successfully completed at least one semester, upon submitting all required documents before the deadline, may transfer to the Doctorate Programme at EGE University upon the recommendation of the department administration and with the approval of the Administrative Committee of the Graduate School. The decision taken will also include eligibility for exemption from some course requirements of the graduate program. Students who transfer from another university must be successful in the EGE University English Proficiency Exam or in an equivalent English examination. Recognition of prior non-formal and in-formal learning is at the beginning stage in Turkish Higher Education Institutions. Ege University is not an exception to this.
Qualification Requirements and Regulations
The doctorate programme consists of a minimum of seven courses, with a minimum of 21 national credits, a qualifying examination, a dissertation proposal, and a dissertation. The period allotted for the completion of the Doctorate programmes is normally eight semesters (four years). However, while it is possible to graduate in a shorter time, it is also possible to have an extension subject to the approval of the graduate school. The seminar course and thesis are non-credit and graded on a pass/fail basis. The total ECTS credits of the programme is 240 ECTS. A student may take undergraduate courses on the condition that the courses have not been taken during the undergraduate program. However, at most two of these courses may be counted to the Doctorate course load and credits. The PhD students are required to take the Doctoral Qualifying Examination, after having successfully completed taught courses. The examination consists of written and oral parts. The Doctoral Qualifying Committee determines by absolute majority whether a candidate has passed or failed the examination. Students who fail the Qualifying Examination may retake the examination the following semester. Students failing the Examination a second time are dismissed from the program. Students must register for thesis work and the Specialization Field course offered by his supervisor every semester following the semester, in which the supervisor is appointed. A dissertation supervisor who must hold the minimum rank of assistant professor is appointed for each PhD student. When the nature of the dissertation topic requires more than one supervisor, a joint-supervisor may be appointed. A joint-supervisor must hold a doctoral degree. Periodic monitoring of research work by a thesis monitoring committee is required to be awarded the Doctoral degree. A student who has completed work on the thesis within the time period, must write a thesis, using the data collected, according to the specifications of the Graduate School Thesis Writing Guide. The thesis must be defended in front of a jury. The thesis jury is appointed on the recommendations of the relevant Department Chairperson and with the approval of the Administrative Committee of the Graduate School. The jury is composed of the thesis supervisor and 5 faculty members. Of the appointed jury members, up to two may be selected from another Department or another University. The co-supervisor cannot be the jury member. Thesis defense by the candidate is open to all audience and a jury decides to grant/deny the Doctoral degree. A majority vote by the jury members determines the outcome of the thesis or examination. The vote can be for "acceptance", "rejection" or "correction". A student may be given, by a decision of the Administrative Committee of the Graduate School, up to six months to complete the corrections. The student must then retake the thesis examination.
Profile of The Programme
Occupational Profiles of Graduates With Examples
Access to Further Studies
Graduates who succesfully completed doctorate degree may apply to both in the same or related disciplines in higher education institutions at home or abroad to get a position in academic staff or to governmental R&D centres to get expert position.
Examination Regulations, Assessment and Grading
Graduation Requirements
Graduation requirements are explained in the section “Qualification Requirements and Regulations” .
Mode of Study (Full-Time, Part-Time, E-Learning )
-
Address, Programme Director or Equivalent
Facilities

Key Learning Outcomes
1To apply the skills she/he has acquired in her/his field in line with the current laws and regulations and in the frame of ethical and deontological principles and to be able to use initiative in this sense when necessary.
2To use the knowledge she/he has acquired to improve the level of health and the quality of life of the society.
3To manage the processes and interpersonal relations in academical reseach and practice and to be able to use communication skills.
4To plan work processes in the academical and research fields, to be able to become a team member, to be able to take part in and manage collaborations.
5To be aware of universal and national health problems and to be able to produce policies aiming to improve the quality of healthcare service.
6To possess the concepts related to the workings of the biological processes that make up the foundation of human health, their maintanance and pathology.
7To integrate fundamental and applied natural sciences and to be able to interpret, analyse and come up with possible solutions.
8To integrate the knowledge she/he possesses in the field of biophysics with knowledge from other disciplines and to be able to interpret, analyse and come up with possible solutions.
9To possess sufficient knowledge and applied skills on various technological tools, sources of information and software that are rendered necessary by the vocational fields of application of medicine.
10To follow the information and developments in the fields of healthcare application and to be able to communicate with colleagues using at least one foreign language.
11To provide education, counseling and make inspections related to her/his field.
12To follow technologies related to human health and to be able to see the shortcomings and conduct studies and research in order to overcome them.
13To share the results of her/his studies and apply them in the field of health.
14To participate in the processes of evaluating, modification and decision making regarding the use of latest technologies in the healthcare field from the perspective of the patient and to be able to have sufficient knowledge and applied skills in this field.
15To have up-to-date knowledge on health, science, technology, contemporary thought and behaviour with an awareness of life-long learning, and to be able to develop and deepen this knowledge.

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
123456789101112131415
KNOWLEDGE1
2
SKILLS1
2
3
4
COMPETENCES (Competence to Work Independently and Take Responsibility)1
2
3
COMPETENCES (Learning Competence)1
COMPETENCES (Communication and Social Competence)1
2
3
COMPETENCES (Field Specific Competence)1
2
3

Course Structure Diagram with Credits
T : Theoretical P: Practice L : Laboratory
1. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026102011 Basic Neuroscience Compulsory 2 0 2 4
2 9301026051993 Conputational Statistics I Compulsory 3 0 0 8
3 930102SEÇ.DR1 ELECTIVE COURSES Elective - - - 2
4 9301026011993 Electronic Circuits Compulsory 3 0 0 8
5 9301026072007 Electrophysiology Compulsory 2 1 0 8
Total 10 1 2 30
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026092007 Bioenergetics Compulsory 2 0 0 4
2 9301026242004 Biomedical Signal Processing Compulsory 3 4 0 12
3 930102SEÇ.DR2 ELECTIVE COURSES Elective - - - 8
4 BAT102 Fundamentals of Scientific Research Compulsory 2 0 0 3
5 SBEDRSEM600 Seminar Compulsory 0 0 0 3
Total 7 4 0 30
 
3. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 930102SEÇ.DR3 ELECTIVE COURSES Elective - - - 25
2 SBEDRUAD601 Specialization Field Course Compulsory 0 0 0 5
Total 0 0 0 30
 
4. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026141993 Biomechanics Compulsory 2 0 0 4
2 930102SEÇ.DR4 ELECTIVE COURSES Elective - - - 21
3 SBEDRUAD602 Specialization Field Course Compulsory 0 0 0 5
Total 2 0 0 30
 
5. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 SBEDRYET601 Qualification Exam Compulsory 0 0 0 5
2 SBEDRUAD603 Specialization Field Course Compulsory 0 0 0 5
3 SBEDRTEZ601 Thesis Compulsory 0 0 0 15
4 SBEDRTO601 Thesis Proposal Compulsory 0 0 0 5
Total 0 0 0 30
 
6. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 SBEDRUAD604 Specialization Field Course Compulsory 0 0 0 5
2 SBEDRTEZ602 Thesis Compulsory 0 0 0 25
Total 0 0 0 30
 
7. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 SBEDRUAD605 Specialization Field Course Compulsory 0 0 0 5
2 SBEDRTEZ603 Thesis Compulsory 0 0 0 25
Total 0 0 0 30
 
8. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 SBEDRUAD606 Specialization Field Course Compulsory 0 0 0 5
2 SBEDRTEZ604 Thesis Compulsory 0 0 0 25
Total 0 0 0 30
 
ELECTIVE COURSES
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026082005 Modern Physical Methods İn Medicine Elective 2 0 0 4
2 9301026111993 Radiation Measurement I Elective 2 0 0 4
3 9301026122005 Cybernetics Elective 1 0 0 2
4 9301026131993 Ultrasound I Elective 2 0 0 4
5 9301026152000 Artificial Neural Networks Elective 3 0 0 8
6 9301026161993 Ultrasound II Elective 2 0 0 4
7 9301026181993 Radiation Measurement II Elective 2 0 0 4
8 9301026202004 Artificial Intelligence Elective 3 0 0 8
9 9301026212004 Robotics and Automation Elective 3 0 0 8
10 9301026222004 Computational Statistics II Elective 3 0 0 8
11 9301026232004 Electrochemical Biosensors and Design Elective 2 0 0 5
12 9301026252007 Electronics III Elective 3 0 0 8
13 9301026262007 Signal And System Analysis Elective 3 0 0 8
14 EBB6832017 Planning and Assesment in Education Elective 3 2 0 6
15 EBB6852017 Development and Learning Elective 3 0 0 4
ELECTIVE COURSES
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026082005 Modern Physical Methods İn Medicine Elective 2 0 0 4
2 9301026111993 Radiation Measurement I Elective 2 0 0 4
3 9301026122005 Cybernetics Elective 1 0 0 2
4 9301026131993 Ultrasound I Elective 2 0 0 4
5 9301026152000 Artificial Neural Networks Elective 3 0 0 8
6 9301026161993 Ultrasound II Elective 2 0 0 4
7 9301026181993 Radiation Measurement II Elective 2 0 0 4
8 9301026202004 Artificial Intelligence Elective 3 0 0 8
9 9301026212004 Robotics and Automation Elective 3 0 0 8
10 9301026222004 Computational Statistics II Elective 3 0 0 8
11 9301026232004 Electrochemical Biosensors and Design Elective 2 0 0 5
12 9301026252007 Electronics III Elective 3 0 0 8
13 9301026262007 Signal And System Analysis Elective 3 0 0 8
14 EBB6832017 Planning and Assesment in Education Elective 3 2 0 6
15 EBB6852017 Development and Learning Elective 3 0 0 4
ELECTIVE COURSES
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026082005 Modern Physical Methods İn Medicine Elective 2 0 0 4
2 9301026111993 Radiation Measurement I Elective 2 0 0 4
3 9301026122005 Cybernetics Elective 1 0 0 2
4 9301026131993 Ultrasound I Elective 2 0 0 4
5 9301026152000 Artificial Neural Networks Elective 3 0 0 8
6 9301026161993 Ultrasound II Elective 2 0 0 4
7 9301026181993 Radiation Measurement II Elective 2 0 0 4
8 9301026202004 Artificial Intelligence Elective 3 0 0 8
9 9301026212004 Robotics and Automation Elective 3 0 0 8
10 9301026222004 Computational Statistics II Elective 3 0 0 8
11 9301026232004 Electrochemical Biosensors and Design Elective 2 0 0 5
12 9301026252007 Electronics III Elective 3 0 0 8
13 9301026262007 Signal And System Analysis Elective 3 0 0 8
14 EBB6832017 Planning and Assesment in Education Elective 3 2 0 6
15 EBB6852017 Development and Learning Elective 3 0 0 4
ELECTIVE COURSES
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9301026082005 Modern Physical Methods İn Medicine Elective 2 0 0 4
2 9301026111993 Radiation Measurement I Elective 2 0 0 4
3 9301026122005 Cybernetics Elective 1 0 0 2
4 9301026131993 Ultrasound I Elective 2 0 0 4
5 9301026152000 Artificial Neural Networks Elective 3 0 0 8
6 9301026161993 Ultrasound II Elective 2 0 0 4
7 9301026181993 Radiation Measurement II Elective 2 0 0 4
8 9301026202004 Artificial Intelligence Elective 3 0 0 8
9 9301026212004 Robotics and Automation Elective 3 0 0 8
10 9301026222004 Computational Statistics II Elective 3 0 0 8
11 9301026232004 Electrochemical Biosensors and Design Elective 2 0 0 5
12 9301026252007 Electronics III Elective 3 0 0 8
13 9301026262007 Signal And System Analysis Elective 3 0 0 8
14 EBB6832017 Planning and Assesment in Education Elective 3 2 0 6
15 EBB6852017 Development and Learning Elective 3 0 0 4
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr