General Description
Doctoral education is given in the department since 1997.
Doctorate degree is given.
Third Cycle
4
Specific Admission Requirements
Institute’s regulations are valid.
5
Specific arrangements for the recognition of prior learning
The provisions in “Regulation on Transfer among Associate and Undergraduate Degree Programs, Double Major, and Subspecialty and the Principals of Credit Transfer among Institutions in Higher Education Institutions” are applied.
6
Qualification Requirements and Regulations
Institute’s regulations are valid.
7
Profile of The Programme
Aims of doctoral program are interpreting and analyzing complex problems in a simple way to gain, using an observation method in the field of health care information to uncover the mysterious, acquire methodological skills, figure out the pattern of the area of health data, dependence of the probability and chance to understand, to comprehend interpretive skills and develop statistical thinking, Develop communication skills in order to provide Statistical terminology.
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Key Learning Outcomes & Classified & Comparative
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1.
According to past qualification, developing current and advanced information as expert level, in theoretical and / or application way.
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2.
Analyzing, synthesizing and evaluating studies using statistical softwares from different areas releated with biostatistics
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3.
Using new informations on problems
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4.
Critical analysis of new and complex ideas, to make synthesis and evaluation.
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5.
Use our high-level skills in research methods in studies to be won.
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6.
Contribute to progress in the field of performing original study independently as considering ethic rules.
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7.
At least one scientific article in the national and / or international peer-reviewed journals, publishing and / or producing an original work of art or to extend the frontiers of knowledge in the field of interpreting.
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8.
Ability to resolve problems in environments that require an interdisciplinary leadership.
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9.
Develop new ideas and methods by using high-level mental processes like Creative and critical thinking, problem solving and decision making related to biostatistics.
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10.
Original discussion of the issues with experts in the field to defend their views and showing competence in the field to communicate effectively.
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11.
Using the solution of problems encountered in strategic decision making processes of interacting functional
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9
Occupational Profiles of Graduates With Examples
Research Centers, Private and Public hospitals, Ministry of Health
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Access to Further Studies
Institute’s regulations are valid.
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Examination Regulations, Assessment and Grading
Institute’s regulations are valid.
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Graduation Requirements
Institute’s regulations are valid.
Part-Time
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Address and Contact Details
Prof.Dr. İlker ERCAN
Uludağ Üniversitesi Tıp Fakültesi
Biyoistatistik Anabilim Dalı
Bursa
The number of academic teaching staff is 2 in Uludag Üniversitesi faculty of Medicine Department of Biostatistics. There are two separate analysis laboratories for researhers and students. There are one Workstation, 8 computer, 3 printer, one scanner and few licensed statistical software. 32 computer exist in student laboratory.
| 1. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| SAB 6001 |
BIOSTATISTICS |
Compulsory |
2 |
2 |
0 |
5 |
| TBY6003 |
CLINICAL TRIALS |
Compulsory |
3 |
0 |
0 |
2 |
| TBY6005 |
EXPERIMENTAL DESIGN AND VARIANCE ANALYSIS |
Compulsory |
3 |
0 |
0 |
2 |
| TBY6007 |
MULTIVARIATE ANALYSIS II |
Compulsory |
3 |
0 |
0 |
2 |
| TBY6009 |
MATHEMATICAL STATISTICS |
Compulsory |
3 |
0 |
0 |
2 |
| TBY6011 |
BIOSTATISTICS LABORATORYI |
Compulsory |
1 |
2 |
0 |
3 |
| TBY6175 |
DISSERTATION SUPERVISION I |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
|
|
|
|
|
13 |
| Total |
|
30 |
| 2. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6004 |
DATA ANALYSIS WITH STATISTICAL PACKET SOFTWARE II |
Compulsory |
3 |
0 |
0 |
2 |
| TBY6006 |
BIOSTATISTICS LABORATORY -II |
Compulsory |
1 |
2 |
0 |
7 |
| TBY6006 |
PRACTICES OF MULTIVARIATE ANALYSIS |
Compulsory |
1 |
2 |
0 |
7 |
| TBY6006 |
PRACTICES OF MULTIVARIATE ANALYSIS |
Compulsory |
1 |
2 |
0 |
2 |
| TBY6172 |
SEMINAR |
Compulsory |
0 |
2 |
0 |
5 |
| TBY6172 |
GRADUATE SEMINAR (COURSE) |
Compulsory |
0 |
2 |
0 |
5 |
| TBY6176 |
DISSERTATION SUPERVISION II |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
|
|
|
|
|
1 |
| Total |
|
30 |
| 3. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6173 |
SEMINAR |
Compulsory |
0 |
2 |
0 |
5 |
| TBY6183 |
PHD SPECIALISED FIELD COURSE III |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6193 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
5 |
| YET6177 |
PROFICIENCY EXAM |
Compulsory |
0 |
0 |
0 |
15 |
| Total |
|
30 |
| 4. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6184 |
PHD SPECIALISED FIELD COURSE IV |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6194 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 5. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| ENS6121 |
DEVELOPMENT AND LEARNING |
Compulsory |
3 |
0 |
0 |
5 |
| TBY6185 |
PHD SPECIALISED FIELD COURSE V |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6195 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
20 |
| Total |
|
30 |
| 6. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| ENS6122 |
PLANNING AND EVALUATION IN EDUCATION |
Compulsory |
3 |
2 |
0 |
5 |
| TBY6186 |
PHD SPECIALISED FIELD COURSE VI |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6196 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
20 |
| Total |
|
30 |
| 7. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6187 |
PHD SPECIALISED FIELD COURSE VII |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6197 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 8. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6188 |
PHD SPECIALISED FIELD COURSE VIII |
Compulsory |
4 |
0 |
0 |
5 |
| TBY6198 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 1. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY6013 |
STATISTICAL SHAPE ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY6015 |
SPATIAL STATISTICS |
Optional |
2 |
0 |
0 |
2 |
| TBY6017 |
SIMULATION TECHNIQUES |
Optional |
2 |
0 |
0 |
2 |
| TBY6019 |
GENETICS STATISTICS |
Optional |
2 |
0 |
0 |
2 |
| TBY6021 |
RESEARCH METHODS |
Optional |
2 |
0 |
0 |
2 |
| TBY6027 |
SPECIAL TOPICS IN BIOSTATISTICS |
Optional |
2 |
0 |
0 |
2 |
| TBY6029 |
POWER ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY6181 |
PHD SPECIALISED FIELD COURSE I |
Optional |
4 |
0 |
0 |
5 |
| 2. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| TBY5010 |
CATEGORICAL DATA ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY5014 |
SURVIVAL ANALYSIS II |
Optional |
2 |
0 |
0 |
2 |
| TBY5016 |
STOCHASTIC PROCESSES |
Optional |
2 |
0 |
0 |
2 |
| TBY6008 |
LINEAR AND NON-LINEAR MODELS |
Optional |
2 |
0 |
0 |
2 |
| TBY6010 |
REGRESSION ANALYSIS II |
Optional |
2 |
0 |
0 |
3 |
| TBY6014 |
CLINICAL DECISION ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY6014 |
SOCIAL NETWORK ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY6016 |
REVIEW OF ARTICLE |
Optional |
2 |
0 |
0 |
2 |
| TBY6018 |
RELIABILITY AND VALIDITY ANALYSIS |
Optional |
2 |
0 |
0 |
2 |
| TBY6024 |
DATA MINING |
Optional |
2 |
0 |
0 |
2 |
| TBY6026 |
STATISTICS FOR FORENSIC SCIENCE |
Optional |
2 |
0 |
0 |
2 |
| TBY6028 |
DIAGNOSTIC MODELS IN STATISTICAL METHODS |
Optional |
2 |
0 |
0 |
2 |
| TBY6030 |
GENERAL MEDICINE KNOWLEDGE |
Optional |
1 |
0 |
0 |
2 |
| TBY6182 |
PHD SPECIALISED FIELD COURSE II |
Optional |
4 |
0 |
0 |
5 |
| MBG5425 |
FUNCTIONAL GENOMICS |
Optional |
3 |
0 |
0 |
6 |
