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

M.Sc. in Industrial Engineering - Non Thesis

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle (Bachelor's Degree) diploma; minimum score of 55 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 65 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 or a minimum score of 65 from DEU School of Foreign Languages English Proficiency Test.

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

1,5 years, 2 semesters per year, 16 weeks per semester, 90 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, Computer and Information Technologies Laboratory, Work Study and Ergonomics Laboratory and Manufacturing Systems Laboratory.
Proportion of Lessons Taught in English: 100%

Key Learning Outcomes

1	Having the knowledge of leadership and industrial engineering issues required at managerial level and and the ability to negotiate on these issues
2	Having the ability and experience to get actively involved in the industrial research and development projects,
3	Ability to formulate and solve engineering problems from a multidisciplinary perspective
4	Ability to use systematic project management methods for planning, executiing and evaluating projects with different scales
5	Ability to work in a group on international and interdisciplinary issues
6	Ability to communicate orally and in written form using a foreign language,
7	Ability to use computer software as well as information and communication technologies at an advanced level to solve industrial engineering problems
8	Ability to develop new strategies and generate rapid solutions by taking responsibility in the case of unforeseen and complex situations encountered during industrial engineering applications
9	Ability to consider, convey and control social, scientific and ethical values during the stages of collecting, interpreting and disseminating data related to the industrial engineering issues.
10	Being aware of the requirements for sustainable development and being ready and willing to contribute.

Occupational Profiles of Graduates with Examples

This degree enables the holder to perform the tasks related to quality management, design and certification in organizations. 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 third cycle programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
In addition to the obligatory courses, students register to elective courses with the approval of their supervsors. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It is obligatory to register MAT5101 Applied Mathematics (3 0 0) or MAT5102 Numerical and Approximate Methods (3 0 0) with approval of the supervisor. The registration must be noticed to the Institute during course registration period by the supervisor.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year
1 .Semester:
G	1	FBE 5557	SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS	COMPULSORY	3	0	0	5
G	0	-	SEMESTER ELECTIVE COURSE	ELECTIVE	-	-	-	25
TOTAL:								30

1 .Semester Elective:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
G	1	IND 5007	MODELLING AND ANALYSIS OF MANUFACTURING SYSTEMS USING PETRI NETS	ELECTIVE	3	0	0	7
G	2	IND 5047	MODELING AND ANALYSIS OF GENERALIZED ASSEMBLY LINES	ELECTIVE	3	0	0	8
G	3	IND 5021	INNOVATION MANAGEMENT	ELECTIVE	3	0	0	8
G	4	IND 5025	TOTAL QUALITY TECHNIQUES	ELECTIVE	3	0	0	8
G	5	IND 5027	SYSTEMS SIMULATION	ELECTIVE	3	0	0	8
G	6	IND 5029	ANALYSIS OF AUTOMATED MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
G	7	IND 5031	LEAN PRODUCTION SYSTEMS	ELECTIVE	3	0	0	8
G	8	IND 5033	MANAGEMENT CONTROL SYSTEMS AND BUDGETING PROCESS	ELECTIVE	3	0	0	8
G	9	IND 5037	REVENUE MANAGEMENT AND PRICING	ELECTIVE	3	0	0	7
G	10	IND 5039	OPERATIONS PLANNING AND SCHEDULING	ELECTIVE	3	0	0	7
G	11	IND 5041	APPLIED METAHEURISTICS	ELECTIVE	3	0	0	7
G	12	IND 5043	SUSTAINABLE ENGINEERING	ELECTIVE	3	0	0	7
G	13	IND 5045	RISK ASSESSMENT AND MANAGEMENT	ELECTIVE	3	0	0	7
G	14	IND 5035	PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
G	15	MAT 5101	APPLIED MATHEMATICS	ELECTIVE	3	0	0	9
G	16	IND 5051	OPTIMIZATION SOFTWARE	ELECTIVE	3	0	0	8
G	17	IND 5049	MODELLING AND OPTIMIZATION OF ENERGY SYSTEMS	ELECTIVE	3	0	0	8
G	18	IND 5017	DYNAMIC AND STOCHASTIC PROGRAMMING	ELECTIVE	3	0	0	8

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	30
TOTAL:								30

2 .Semester Elective:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	IND 5002	ENTERPRISE MODELING AND INTEGRATION	ELECTIVE	3	0	0	7
B	2	IND 5046	LOCATION THEORY	ELECTIVE	3	0	0	8
B	3	IND 5006	PLANNING AND DESIGN OF SERVICE SYSTEMS	ELECTIVE	3	0	0	8
B	4	IND 5012	FORECASTING AND TIME SERIES ANALYSIS FOR MANAGEMENT	ELECTIVE	3	0	0	8
B	5	IND 5016	MAINTENANCE, REPLACEMENT AND RELIABILITY	ELECTIVE	3	0	0	8
B	6	IND 5018	MULTIOBJECTIVE AND MULTICRITERIA PROGRAMMING	ELECTIVE	3	0	0	8
B	7	IND 5022	ADVANCE ENGINEERING MANAGEMENT	ELECTIVE	3	0	0	8
B	8	IND 5024	CONSTRAINT PROGRAMMING	ELECTIVE	3	0	0	8
B	9	IND 5026	FACILITIES PLANNING AND DESIGN	ELECTIVE	3	0	0	8
B	10	IND 5028	HUMAN FACTOR ENGINEERING	ELECTIVE	3	0	0	8
B	11	IND 5030	TRANSPORTATION AND SUPPLY CHAIN SYSTEMS	ELECTIVE	3	0	0	8
B	12	IND 5032	RESPONSE SURFACE METHODOLOGY AND APPLICATIONS IN ENGINEERING	ELECTIVE	3	0	0	8
B	13	IND 5038	COMPUTATIONAL INTELLIGENCE IN DESIGN AND MANUFACTURING	ELECTIVE	3	0	0	7
B	14	IND 5034	SIMULATION OF MANUFACTURING SYSTEMS	ELECTIVE	3	0	0	8
B	15	IND 5036	FUNDAMENTALS OF OPTIMIZATION	ELECTIVE	3	0	0	7
B	16	IND 5042	COMPUTATIONAL LOGISTICS	ELECTIVE	3	0	0	5
B	17	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	ELECTIVE	3	0	0	9
B	18	IND 5048	DECISION MODELS FOR CIRCULAR ECONOMY	ELECTIVE	3	0	0	8
B	19	IND 5004	INVENTORY SYSTEMS ANALYSIS	ELECTIVE	3	0	0	9

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	IND 5097	M.SC. TERM PROJECT	COMPULSORY	0	0	0	9
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	21
TOTAL:								30

3 .Semester Elective:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul 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

Industrial Engineering Non-Theis Master of Science / Engineering management / Non-Thesis Logistics students should be successful from at least 10 courses, semester project and graduation examination with a total credit of 90 ECTS.

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