Bilgi Paketi & Ders Kataloğu
Türkçe English Curriculum Key Learning Outcomes
Industrial Engineering
General Description
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Brief History
Industrial Engineering Department of Bursa Uludag University, founded in 1990, had its first graduating class in 1994. It established the Master of Science program the same year, the Doctor of Philosophy program in 2006 and the non-thesis "Engineering and Technology Management" Masters program in 2011. Students are enrolled to Industrial Engineering Doctor of Philosophy Program in fall and spring semesters each year.
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Qualification Awarded
The Doctorate (Ph.D.) degree in Industrial Engineering is awarded to the graduates who have successfully completed all courses in the curriculum.
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Level of Qualification
Third Cycle
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Specific Admission Requirements
Master of Science degree and ALES (numeric) score which is determined by the Senate of Bursa Uludag University is required. Students must have minimum score determined by Senate in YOKDIL, YDS, TOEFL or equivalent examinations accepted by YÖK, or foreign language exam which is conducted by the School of Foreign Languages in English. BUU Senate decides the Equivalence of other foreign language documents. For foreign candidates, Turkish competency given by TOMER and ALES exam results or GRE, GMAT and other exams which are by YOK in international level. Candidates who don’t have Bachelor´s or Master´s degree in Industrial Engineering are obligated to go through a scientific preparation program from the Industrial Engineering Bachelor´s and Master´s program.
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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.
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Qualification Requirements and Regulations
The graduation requirement for the students in the Industrial Engineering Doctorate program consists of a total of at least 240 ECTS credits, including at least eight courses, a seminar, a doctoral qualifying exam and a thesis study. Students who have at least 75 weighted GPA out of 100, complete their seminar and proficiency exam successfully, and defend their thesis in a field related to their subject in front of an elected jury successfully, graduate with a PhD degree in Industrial Engineering. In addition, at least one original research article published or accepted for publication in a journal scanned SCI, SSCI, AHCI, SCI-Expanded is a graduation requirement.
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Profile of The Programme
The aim of the Industrial Engineering Doctorate Program is to provide education and research opportunities preferred by outstanding students in a globally recognized intellectual environment, offer various expertise opportunities in theoretical and applied fields, and provide uniquely advanced education and flexible research environments.
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Key Learning Outcomes & Classified & Comparative
1. As an Industrial Engineer, provide the ability to work effectively as a leader for understanding and shaping the organizational processes as well as being able to participate in team-work, coordination and management capabilities.
2. Provide students with quantitative and methodological skills for identifying, modeling and verifying Industrial Engineering problems in an effective manner.
3. Provide students with capabilities for collecting, analyzing and interpreting problem data in the field of Industrial Engineering.
4. Ready the student to how to approach problems without obvious solutions, synthesize and design possible solutions as well as assess the impact of those solutions on organizational structures and social community.
5. Ready the student to effectively present and defend the solutions produced in written, oral, and electronic media.
6. Provide students to with ability of continuous self-improvement which is a vital necessity in work environment.
7. Provide the student with knowledge of ethical responsibility.
8. Provide the student with the ability to research and to produce global and unique solutions for Industrial Engineering applications.
9. Provide the student with the ability to identify and define Industrial Engineering problems.
10. Provide the student with the ability to recognize Industrial Engineering problems and their level of difficulty.
11. Provide the student with the ability to gather and analyze data, helpful in solving problems.
12. Provide the student with the ability to develop and evaluate the potential solutions to the problems.
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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.
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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.
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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.
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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.
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Mode of Study
Full-Time
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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
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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.
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Curriculum
1. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
END 5101 MATHEMATICAL 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 5110 PRODUCTION SYSTEMS Compulsory 3 0 0 7,5
END 5112 JOB SEQUENCING AND SCHEDULING 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
END5173 SEMINAR Compulsory 0 2 0 5
END5181 M.A. SPECIALISED FIELD COURSE I Compulsory 4 0 0 5
END5191 DISSERTATION SUPERVISION I Compulsory 0 1 0 20
Total 30
4. Semester
Course Code Course Title Type of Course T1 U2 L3 ECTS
END5174 SEMINAR Compulsory 0 2 0 5
END5182 M.A. SPECIALISED FIELD COURSE II Compulsory 4 0 0 5
END5192 DISSERTATION SUPERVISION II Compulsory 0 1 0 20
Total 30
1. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
END 5113 COMPUTER AIDED MANUFACTURING Optional 3 0 0 7,5
END 5117 MANUFACTURING PROCESS CONTROL Optional 3 0 0 7,5
END 5121 DESIGN AND ANALYSIS OF ALGORITHMS Optional 3 0 0 7,5
END 5123 HEURISTIC ALGORITHMS Optional 3 0 0 7,5
END 5131 TOTAL QUALITY MANAGEMENT Optional 3 0 0 7,5
END 5151 STATISTICAL DATA ANALYSIS Optional 3 0 0 7,5
END 5153 EXPERIMENTAL DESIGN Optional 3 0 0 7,5
END 5155 STOCHASTIC PROCESSES Optional 3 0 0 7,5
END5115 SIMULATION ANALYSIS Optional 3 0 0 7,5
END6113 SUPPLY CHAIN MANAGEMENT Optional 3 0 0 7,5
2. Semester Optional Courses
Course Code Course Title Type of Course T1 U2 L3 ECTS
END 5114 ANALYSIS OF INVENTORY SYSTEMS Optional 3 0 0 7,5
END 5116 FACILITY LOCATION AND LAYOUT Optional 3 0 0 7,5
END 5132 ENGINEERING ECONOMY Optional 3 0 0 7,5
END 5134 TECHNOLOGY MANAGEMENT Optional 3 0 0 7,5
END 5136 STRATEGIC DECISION SUPPORT SYSTEMS Optional 3 0 0 7,5
END 5140 NOISE IMPACT ASSESSMENT Optional 3 0 0 7,5
END 5156 RELIABILITY ENGINEERING Optional 3 0 0 7,5
END5138 MULTICRITERIA DECISION MAKING Optional 3 0 0 7,5
END6102 ADVANCED SIMULATION TECHNIQUES Optional 3 0 0 7,5
END6122 ARTIFICIAL INTELLIGENCE Optional 3 0 0 7,5
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