Türkçe English Curriculum Key Learning Outcomes
DOCTORAL PROGRAM IN COMPUTER ENGINEERING
General Description
1
Brief History
The department has offered graduate programs leading to Ph.D. degree in Computer Engineering within the Institute of Natural Sciences established in 1982.
2
Qualification Awarded
Computer engineering program is subjected to 180-240 ECTS credits and eighth stage degree system in higher education. The Doctorate (Ph. D.) Degree in Computer Engineering Program is awarded to the graduates who have successfully completed all courses in the curriculum.
3
Level of Qualification
Third Cycle
4
Specific Admission Requirements
Master school certificate is required. Application to the PhD program with master certificate depends on conformity condition of PhD. Candidates must have science based ALES and foreign language score determined by Uludag University Senate. For foreign candidates, Tomer candidates Turkish competency given by TOMER and ALES exam results or GRE, GMAT and other exams which are by YOK in international level.
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
The program provides a total of not less than 24-30 local credits, a qualifying examination, thesis proposal, thesis and dissertation defense consists of the presentation and consists of compulsory, elective courses and 180-240 ECTS total number of credits. In order to be successful at least 75 out of 100 should be achieved for mandatory courses. Students who fulfill all requirements of the programme are awarded to Doctoral in Computer Engineering.
7
Profile of The Programme
Educational Goals;
1-) To train engineers with PHD having advanced knowledge and skills that will enable them to become academicians and researchers, and to contribute to scientific knowledge by developing new scientific methods and original ideas.
2-) To develop PHD degree candidates´ skills of
solving the problems by using scientific methods within the framework of ethical principles, making multi-disciplinary studies,
presenting information and experiences both in orally and written,
and, life-long learning and teaching.
Curriculum;
Advanced Topics in Engineering Mathematics-II and Research Techniques and
Publication Ethics are compulsory courses, the other courses including the actual research subjects are elective. Detailed information can be found on bm.uludag.edu.tr.
8
Key Learning Outcomes & Classified & Comparative
1. Abilility to use mathematics, science and engineering knowledge in advanced research
2. Abilility to analyze, design and/or implement an original system that will solve engineering problems
3. Abilility to use software, hardware and modern measurement equipments required for the research studies in the field of expertise
4. Abilility to plan and make independent detailed research
5. Abilility to make literature review, follow and make technical presentation and write an article in academic level
6. Abilility to find original ways and solutions by innovative and questioning thinking
9
Occupational Profiles of Graduates With Examples
Graduates of the program can work as academicians, researchers and experts in national or international universities, research centers and corporations.
10
Access to Further Studies
Graduates who successfully 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 centers to get expert position.
11
Examination Regulations, Assessment and Grading
This section is explained in the courses description and implementation forms.
12
Graduation Requirements
Students must successfully pass all compulsory and elective courses on the program (equivalent to a total of 18-240 ECTS) mention about "Qualification Requirements and Regulations". And who have successfully completed all courses in the curriculum will be given The Doctorate Degree in Computer Engineering Program.
13
Mode of Study
Full-Time
14
Address and Contact Details
Bölüm Başkanı
Prof. Dr. Ahmet Emir DİRİK
Posta Adresi : Bursa Uludağ Üniversitesi Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü
16059 Görükle/BURSA
Tel. : +90(224) 294 0655
e-posta : edirik@uludag.edu.tr
Bölüm Başkan Yardımcısı
Doç. Dr. Murtaza Cicioğlu (Bologna Koordinatörü)
Posta Adresi : Bursa Uludağ Üniversitesi Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü
16059 Görükle/BURSA
Tel. : 0224 294 27 96
e-posta : murtazacicioglu@uludag.edu.tr
15
Facilities
There are working offices and laboratories dedicated to master students, laboratory studies are funded by research projects carried out by the academic staff. Laboratories are listed below:
Computer Laboratory
1. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6003 ADVANCED ALGORITHM DESIGN AND ANALYSIS Compulsory 3 0 0 6
BM6181 ADVANCED TOPICS IN PHD THESIS I Compulsory 4 0 0 5
BM6191 THESIS CONSULTING I Compulsory 0 1 0 1
Click to choose optional courses. 18
Total 30
2. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6172 SEMINAR Compulsory 0 2 0 4
BM6182 ADVANCED TOPICS IN PHD THESIS II Compulsory 4 0 0 5
BM6192 THESIS CONSULTING II Compulsory 0 1 0 1
FEN6002 TECHNOLOGY TRANSFER, R-D AND INNOVATION Compulsory 2 0 0 2
Click to choose optional courses. 18
Total 30
3. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6183 ADVANCED TOPICS IN PHD THESIS III Compulsory 4 0 0 5
BM6193 THESIS CONSULTING III Compulsory 0 1 0 15
YET6177 PHD PROFICIENCY EXAMINATION Compulsory 0 0 0 10
Total 30
4. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6184 ADVANCED TOPICS IN PHD THESIS IV Compulsory 4 0 0 5
BM6194 THESIS CONSULTANTS IV Compulsory 0 1 0 25
Total 30
5. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6185 ADVANCED TOPICS IN PHD THESIS V Compulsory 4 0 0 5
BM6195 THESIS CONSULTING V Compulsory 0 1 0 25
Total 30
6. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6186 ADVANCED TOPICS IN PHD THESIS VI Compulsory 4 0 0 5
BM6196 THESIS CONSULTING VI Compulsory 0 1 0 25
Total 30
7. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6187 PHD SPECIALISED FIELD COURSE VII Compulsory 4 0 0 5
BM6197 THESIS CONSULTING VII Compulsory 0 1 0 25
Total 30
8. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6188 PHD SPECIALISED FIELD COURSE VIII Compulsory 4 0 0 5
BM6198 THESIS CONSULTING VIII Compulsory 0 1 0 25
Total 30
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6019 CRYPTOGRAPHY Optional 3 0 0 6
BM6021 MATHEMATICAL FOUNDATIONS OF COMPUTING Optional 3 0 0 6
BM6023 ADVANCED PATTERN RECOGNITION Optional 3 0 0 6
BM6025 DATA SECURITY Optional 3 0 0 6
BM6027 NATURAL LANGUAGE SEMANTICS AND APPLICATIONS Optional 3 0 0 6
BM6029 FORMAL METHODS OF SOFTWARE VERIFICATION AND EVALUATION Optional 3 0 0 6
BM6031 NEW GENERATION WIRELESS NETWORKS Optional 3 0 0 6
BM6033 ADVANCED ARTIFICIAL NETWORKS Optional 3 0 0 6
BM6035 COMPUTATIONAL BIOLOGY AND BIOINFORMATICS ALGORITHMS Optional 3 0 0 6
BM6037 THREE-DIMENSIONAL VISION Optional 3 0 0 6
ELN6103 DEEP LEARNING Optional 3 0 0 6
ELN6415 STATICAL PATTERN ANALYSIS AND CLASSIFICATION Optional 3 0 0 6
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
BM6020 MULTIVARIATA STATISTICAL DATA ANALYSIS Optional 3 0 0 6
BM6022 ADVANCED SOUND PROCESSING Optional 3 0 0 6
BM6024 ADVANCED DIGITAL IMAGE PROCESSING Optional 3 0 0 6
BM6026 VIRTUAL AND AUGMENTED REALITY Optional 3 0 0 6
BM6028 DISTRIBUTED CALCULATION SYSTEMS Optional 3 0 0 6
BM6030 PARALLEL PROGRAMMING WITH GPU Optional 3 0 0 6
BM6032 AUTONOMOUS SYSTEMS Optional 3 0 0 6
BM6034 ADVANCED TOPICS IN COMPUTATIONAL BIOLOGY Optional 3 0 0 6
BM6036 ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL NEUROSCIENCE Optional 3 0 0 6
BM6038 ADVANCED GRAPHICS Optional 3 0 0 6
BM6040 MACHINE TRANSLATION Optional 3 0 0 6
ELN6104 METAHEURISTIC ALGORITHMS Optional 3 0 0 6
ELN6414 ADVANCED COMPUTER VISION METHODS Optional 3 0 0 6
ELN6418 SPEECH AND SPEAKER RECOGNITION Optional 3 0 0 6
Bologna İletişim
Mail : bologna@uludag.edu.tr
Tasarım & Kodlama
Bilgi İşlem Daire Başkanlığı © 2015
otomasyon@uludag.edu.tr