1. Achieve and maintain research and educational opportunities preferred by outstanding students, in an intellectual environment accepted all over the world.
2. Provide educational and research opportunities by meeting the national requirements in the fields of industrial engineering in a humane and economical way while maintaining a universal criteria.
3. Provide training and flexible research environment unique to the advanced level, catering opportunities for a variety of fields of expertise in theoretical and application areas.
4. Provide an interactive environment where research conducted is shared orally, in writing, and electronically.
5. Provide students with the notion of lifelong learning as well as doing industrial engineering work in accordance with professional and ethical rules.
6. Acquire the ability to perceive the value of research to practice.
7. Acquire the ability to make original and independent research.
8. Provide the ability to present the results of research in written and oral environments.
9. Provide the ability of continuous self-development and follow contemporary developments in research fields.
10. Acquire the ability to transfer information acquired through teaching.
11. Take on individual responsibility or take part in team work as an industrial engineer with professional, ethical, social values and essential social formation.
12. Have knowledge of foreign languages to monitor the international literature in related fields as well as to communicate and use Turkish language in written and oral communication in an effective manner.

Occupational Profiles of Graduates With Examples

Graduates of the Industrial Engineering Doctorate Program can work as academicians in the universities and as experts or managers in the public and private organizations operating in the production and service sectors.

Access to Further Studies

Graduates who have completed the Industrial Engineering Doctorate Program successfully can apply for the academic positions in the national and foreign education institutions and the specialist positions in the research centers of public and private institutions.

Examination Regulations, Assessment and Grading

For the Industrial Engineering Doctorate Program, each student must register for the courses at the beginning of the term and have attended at least 70% of the courses and at least 80% of the practices in order to enter the final exam. Students are subjected to midterm and final exams for each course. All exams are evaluated over 100 points. The final grade of the semester has to be at least 75 points. Students who get one of the letter grades AA, BA, BB and CB, which have an exact value out of 100, are considered successful in that course. It is necessary to get at least 75 points from the doctoral proficiency exam (oral and written) conducted by the academic members in the relevant field.

Graduation Requirements

In order to complete the Doctorate program successfully, the candidate must comply with the conditions explained in the Qualification Requirements and Rules section, meet the publication requirement in accordance with the decision of the Bursa Uludağ University Senate, and defend the thesis on a subject related to the field in front of the selected jury successfully.

Mode of Study

Full-Time

Address and Contact Details

Bölüm Başkanı:
Prof. Dr. Erdal EMEL
Bursa Uludağ Üniversitesi Mühendislik Fakültesi Endüstri Mühendisliği Bölümü Görükle Yerleşkesi 16240 Nilüfer / BURSA
Tel:+90 (224) 2942081
Eğitim Komisyonu:
* Prof. Dr. Fatih ÇAVDUR, ** Prof. Dr. Tülin İNKAYA
Bursa Uludağ Üniversitesi Mühendislik Fakültesi Endüstri Mühendisliği Bölümü Görükle Yerleşkesi 16240 Nilüfer / BURSA
* Tel:+90 (224) 2942077 ** Tel:+90 (224) 2942605

Facilities

Industrial Engineering Department contains a total of 5 laboratories including Computer, Robotics and Automated Production, Computer-aided Production, Ergonomics, Noise and Vibration Lab. to be used as a part of all programs.
In Industrial Engineering Department students of all programs can become a part of professional and social environment including Industrial Engineering Community, Technical Visits, Seminars, Conferences, Gatherings, Career Days, Turkish Industrial Engineering Chamber, Graduate Meetings, Traditional Industrial Engineering and Industry Summit, Case Studies, Operations Research and Industrial Engineering Students Projects Contests, BUU Sports Center and other student clubs (Photography, Climbing, Dancing, Diving, Chess, Robotics etc...).
Industrial Engineering academic personnel consist of 8 Professors, 4 Associate Professors, 4 Assistant Professors,1 Research Assistant with PhD.,and 3 Research Assistants.

Curriculum

1. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END 6101	LINEAR PROGRAMMING	Compulsory	3	0	0	7,5
	Click to choose optional courses.					22,5
Total						30

2. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END 6102	INTEGER PROGRAMMING	Compulsory	3	0	0	7,5
END 6112	ADVANCED SIMULATION TECHNIQUES	Compulsory	3	0	0	7,5
	Click to choose optional courses.					15
Total						30

3. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6171	SEMINAR	Compulsory	0	2	0	5
FEN 6001	RESEARCH METHODS	Compulsory	2	0	0	5
YET6177	PHD PROFICIENCY EXAMINATION	Compulsory	0	0	0	20
Total						30

4. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6172	SEMINAR	Compulsory	0	2	0	5
END6182	PHD SPECIALISED FIELD COURSE I	Compulsory	4	0	0	5
END6192	DISSERTATION SUPERVISION I	Compulsory	0	1	0	20
Total						30

5. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6183	PHD SPECIALISED FIELD COURSE II	Compulsory	4	0	0	5
END6193	DISSERTATION SUPERVISION II	Compulsory	0	1	0	20
ENS6121	DEVELOPMENT AND LEARNING	Compulsory	3	0	0	5
Total						30

6. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6184	PHD SPECIALISED FIELD COURSE III	Compulsory	4	0	0	5
END6194	DISSERTATION SUPERVISION	Compulsory	0	1	0	20
ENS6122	PLANNING AND EVALUATION IN EDUCATION	Compulsory	3	2	0	5
Total						30

7. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6185	PHD SPECIALISED FIELD COURSE IV	Compulsory	4	0	0	5
END6195	DISSERTATION SUPERVISION	Compulsory	0	1	0	25
Total						30

8. Semester
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END6186	PHD SPECIALISED FIELD COURSE V	Compulsory	4	0	0	5
END6196	DISSERTATION SUPERVISION V	Compulsory	0	1	0	25
Total						30

1. Semester Optional Courses
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END 6105	DYNAMIC PROGRAMMING	Optional	3	0	0	7,5
END 6113	SUPPLY CHAIN MANAGEMENT	Optional	3	0	0	7,5
END 6115	MANAGEMENT OF INTEGRATED MANUFACTURING SYSTEMS	Optional	3	0	0	7,5
END 6117	MANAGEMENT OF PRODUCT DESIGN	Optional	3	0	0	7,5
END 6121	NEURAL NETWORKS	Optional	3	0	0	7,5
END 6131	FINANCIAL ENGINEERING	Optional	3	0	0	7,5
END 6141	HUMAN-MACHINE SYSTEMS	Optional	3	0	0	7,5
END5101	MATHEMATICAL PROGRAMMING	Optional	3	0	0	7,5
END5131	TOTAL QUALITY MANAGEMENT	Optional	3	0	0	7,5
END5155	STOCHASTIC PROCESSES	Optional	3	0	0	7,5

2. Semester Optional Courses
Course Code	Course Title	Type of Course	T¹	U²	L³	ECTS
END5142	DATA MINING	Optional	3	0	0	7,5
END 6104	NONLINEAR PROGRAMMING	Optional	3	0	0	7,5
END 6108	COMPLEXITY ANALYSIS	Optional	3	0	0	7,5
END 6114	DESIGN OF INTEGRATED MANUFACTURING SYSTEMS	Optional	3	0	0	7,5
END 6116	ADVANCED TOPICS IN QUALITY CONTROL	Optional	3	0	0	7,5
END 6142	PHYSIOLOGY AND PSYCHOLOGY IN ERGONOMICS	Optional	3	0	0	7,5
END 6144	ERGONOMICSIN PRODUCT DESIGN	Optional	3	0	0	7,5
END3032	SYSTEMS SIMULATION	Optional	3	0	1	5
END3034	OPERATIONS RESEARCH II	Optional	3	0	1	5
END4072	PRODUCTION PLANNING AND CONTROL II	Optional	3	0	1	5
END6122	ARTIFICIAL INTELLIGENCE	Optional	3	0	0	7,5
END5110	PRODUCTION SYSTEMS	Optional	3	0	0	7,5
END5112	JOB SEQUENCING AND SCHEDULING	Optional	3	0	0	7,5
END5114	ANALYSIS OF INVENTORY SYSTEMS	Optional	3	0	0	7,5
END5138	MULTICRITERIA DECISION MAKING	Optional	3	0	0	7,5