Dokuz Eylül University Information Package / Courses Catalog

General Description

History

The Industrial Engineering Department was founded in 1972 within the Engineering Science Faculty of Ege University by Kemal Karhan, İlter Akat and Gündüz Balkan. The Department became a part of the Mechanical Engineering Faculty of Ege University in 1978 and then joined the Engineering Faculty of Dokuz Eylül University in 1983. The department offers graduate programs within the Graduate School of Natural and Applied Sciences. The language of the undergraduate program is Turkish while Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) programs are offered in English.

Qualification Awarded

Ph.D. in Industrial Engineering

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle (Master's Degree) diploma; minimum 80/100 or 3/4 Cumulative Grade Point Average, minimum score of 60 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 70 from the graduate school entrance exam; a minimum score of 60 from the nation-wide Foreign Language Exam ( YDS ) or equivalent score from an exam accredited by YÖK.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

4 years, 2 semesters per year, 16 weeks per semester, 240 ECTS in total.

Profile of the Programme

Within the scope of the graduate level in Industrial Engineering, M.Sc. in Industrial Engineering, M.Sc. in Industrial Engineering (Non Thesis), M.Sc. in Engineering Management (Non Thesis) and Ph.D. in Industrial Engineering programs offer courses in the fields of manufacturing systems, dynamic and stochastic modeling, innovation management, total quality management, simulation, lean manufacturing systems, scheduling, heuristic algorithms, risk management, investment analysis, service systems, multi-objective and multi-criteria modeling, facility planning, human factors engineering, supply chain modeling and analysis and expert systems to provide students advanced and detailed information in these fields.
There are four laboratories in the department to service undergraduate and graduate students. Intelligent Optimization and Decision Making Laboratory and Computer and Information Technologies Laboratory are currently in operation while Work Study and Human Factors Laboratory and Manufacturing Systems and Process Design Laboratory are under development. The explanations of these laboratories are given below.
1. Intelligent Optimization and Decision Making Laboratory:
Serves in an area sized 48 m2. In this laboratory, students can study and make research on the optimization and decision-making techniques. The following software and hardware are used for educational and research purposes.
2. Computer and Information Technologies Laboratory:
Serves in an area sized 100 m2. There are 40 computers in this laboratory, and these computers have service provider connected to the internet via the university. Various softwares in the areas of statistics, enterprise resource planning and modeling are installed on these computers. Some courses in education program such as computer programming, programming languages, enterprise resource planning, and simulation are taught in this laboratory.
3. Work Study and Human Factory Laboratory:
This laboratory is under construction. It has an area of 117 m2. In this laboratory, computational experiments will be carried out with the aim of research and education on issues such as work study and human factors. Laboratory is designed for ergonomic measurements based on ergonomic study and design.
4. Manufacturing System and Process Design Laboratory:
This laboratory is under construction. It has an area of 68 m2. In this laboratory, implementation experiments will be carried out with the aim of research and education on modeling of manufacturing systems, product and process design, design of quality systems, manufacturing planning.

Percentage of Courses Taught in English: 100%

Key Learning Outcomes

1	Having theoretical knowledge about industrial engineering issues and the ability to use this knowledge in the industry, knowing the management techniques for business life and being able to use these techniques; ability to apply previous research findings to industry,
2	Finding and accessing information related to a specific research field and/or an engineering problem; evaluating and interpreting the information obtained from academic papers, patents technical handbooks and industrial resources building on existing theory and implementing it to new cases; formulating a problem and developing appropriate techniques to solve it; synthesizing thoughts, developing and implementing creative and original ideas to solve complex engineering problems; developing models of complex engineering systems, testing and assessing them.
3	Publishing papers in refereed scientific journals, and evaluating new information and papers for these journals
4	Utilizing the current theory while designing an experiment, developing appropriate hypotheses, defining the constraints and assumptions related to cost, time and hardware
5	Using performance measurements to evaluate the outcomes and alternatives of the designed experiments in terms of cost, quality, time etc.; forecasting the uncertainty of the experiment;
6	Accessing and using online or traditional libraries; analyzing complex quantitative or other kinds of data using appropriate statistical and other techniques,
7	Designing, conducting and managing a research project; reporting the results of the scientific research for publishing or for other purposes; presenting or reporting the results of the scientific studies in an appropriate form for an expert group or a general audience,
8	Effective time management; understanding the fundamentals of business management; having the necessary qualifications for effective individual/group work and leadership,
9	Generating solutions to social, scientific and ethical issues of the field and business life and supporting the development of these values
10	Contributing to the process of becoming an information society by introducing the technological, social or cultural developments academically or professionally.

Occupational Profiles of Graduates with Examples

This degree enables the holder to exercise the profession in the public or private sector. Our Graduate Programs provide students with the opportunity of detailed information and expertise in various fields of Industrial Engineering. Therefore, our graduate students have employment opportunities in the positions of manager, specialist, quality assurance engineer, research and development engineer, marketing and sales manager and purchasing engineer in production and service sectors as well as having an academic career at universities:
Almost all of our graduate students have a chance to be employed in public or private sector related to their specialization areas. Nearly 80 % of our graduates are being employed in private sector institutions and 15 % in public sector.

Access to Further Studies

May apply to post doctorate programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It?s obligatory to register to MAT5001 Applied Mathematics (3 0 0) in either semester. In the case of one of these courses taken during the M.Sc. education, these are not obligatory. The registration must be noticed to the Institute during course registration period by the supervisor. For Ph. D. students it is obligatory to take minimum 2 non-credit courses among "Ph. D. Programs Common Elective Courses" and be successful with grade (B) within 4 semesters of course taking period.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year

1 .Semester:
G	1	MAT 5001	APPLIED MATHEMATICS	COMPULSORY	3	0	0	7
G	2	IND 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	14
TOTAL:								30

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	IND 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	21
TOTAL:								30

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	IND 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	21
TOTAL:								30

4 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	IND 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

5 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	IND 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

6 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	IND 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

7 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	IND 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

8 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	IND 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
Z	1	IND 5007	MODELLING AND ANALYSIS OF MANUFACTURING SYSTEMS USING PETRI NETS	ELECTIVE	3	0	0	7
Z	2	IND 5043	SUSTAINABLE ENGINEERING	ELECTIVE	3	0	0	7
Z	3	IND 5037	REVENUE MANAGEMENT AND PRICING	ELECTIVE	3	0	0	7
Z	4	IND 5033	MANAGEMENT CONTROL SYSTEMS AND BUDGETING PROCESS	ELECTIVE	3	0	0	8
Z	5	IND 5029	ANALYSIS OF AUTOMATED MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
Z	6	IND 5045	RISK ASSESSMENT AND MANAGEMENT	ELECTIVE	3	0	0	7
Z	7	IND 5027	SYSTEMS SIMULATION	ELECTIVE	3	0	0	8
Z	8	IND 5039	OPERATIONS PLANNING AND SCHEDULING	ELECTIVE	3	0	0	7
Z	9	IND 5021	INNOVATION MANAGEMENT	ELECTIVE	3	0	0	8
Z	10	IND 5025	TOTAL QUALITY TECHNIQUES	ELECTIVE	3	0	0	8
Z	11	IND 5031	LEAN PRODUCTION SYSTEMS	ELECTIVE	3	0	0	8
Z	12	IND 5017	DYNAMIC AND STOCHASTIC PROGRAMMING	ELECTIVE	3	0	0	8
Z	13	IND 5035	PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
Z	14	IND 5041	APPLIED METAHEURISTICS	ELECTIVE	3	0	0	7
Z	15	IND 5038	COMPUTATIONAL INTELLIGENCE IN DESIGN AND MANUFACTURING	ELECTIVE	3	0	0	7
Z	16	IND 5030	TRANSPORTATION AND SUPPLY CHAIN SYSTEMS	ELECTIVE	3	0	0	8
Z	17	IND 5042	COMPUTATIONAL LOGISTICS	ELECTIVE	3	0	0	5
Z	18	IND 5036	FUNDAMENTALS OF OPTIMIZATION	ELECTIVE	3	0	0	7
Z	19	IND 5006	PLANNING AND DESIGN OF SERVICE SYSTEMS	ELECTIVE	3	0	0	8
Z	20	IND 5024	CONSTRAINT PROGRAMMING	ELECTIVE	3	0	0	8
Z	21	IND 5018	MULTIOBJECTIVE AND MULTICRITERIA PROGRAMMING	ELECTIVE	3	0	0	8
Z	22	IND 5034	SIMULATION OF MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
Z	23	IND 5028	HUMAN FACTOR ENGINEERING	ELECTIVE	3	0	0	8
Z	24	IND 5004	INVENTORY SYSTEMS ANALYSIS	ELECTIVE	3	0	0	9
Z	25	IND 5016	MAINTENANCE, REPLACEMENT AND RELIABILITY	ELECTIVE	3	0	0	8
Z	26	IND 5002	ENTERPRISE MODELING AND INTEGRATION	ELECTIVE	3	0	0	7
Z	27	IND 5012	FORECASTING AND TIME SERIES ANALYSIS FOR MANAGEMENT	ELECTIVE	3	0	0	8
Z	28	IND 5026	FACILITIES PLANNING AND DESIGN	ELECTIVE	3	0	0	8
Z	29	IND 5032	RESPONSE SURFACE METHODOLOGY AND APPLICATIONS IN ENGINEERING	ELECTIVE	3	0	0	8
Z	30	IND 5022	ADVANCE ENGINEERING MANAGEMENT	ELECTIVE	3	0	0	8

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylül University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades.
The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Third Cycle (Doctor of Philosophy) Programme is comprised of courses (at least 63 ECTS), Ph. D. Research (27 ECTS) / Ph. D. Thesis (150 ECTS) courses, thesis proposal, doctoral qualifying examination and thesis examination with a total credit of 240 ECTS. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Prof. Dr. Adil BAYKASOĞLU
Department of Industrial Engineering Dokuz Eylül University,
Tınaztepe Campus 35160 Buca, İzmir, Turkey
Phone: 232 301 76 00
E-mail adil.baykasoglu@deu.edu.tr

DEGREE PROGRAMMES