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

MSc. in Engineering Management - Non Thesis

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle Degree in the same or in related disciplines, Transcript, Acceptable score on ALES (Academic Personnel and Graduate Education Entrance Exam) or Equivalent GRE, GMAT score. Acceptable score on Language Proficiency Tests. Acceptable weighted score based on the first cycle cumulative grade point average (GPA) and ALES score. The exceptions to the requirements of ALES and Foreign Language Proficiency scores is announced by the Graduate School. However, ALES requirement is waived for the admissions to the second cycle graduate programs offered by the Conservatory and the departments of Fine Arts Faculty, where students are admitted only by the Artistic Aptitude Test as well as for the graduates of doctorate /arts proficiency/medical residency/ dental residency/ veterinary residency/ pharmaceutical residency programs. Final admission is based on the evaluation of the related academic unit committee. International student admission requirements are decided by the Graduate School Executive Committee.

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

To provide managers or executive candidates with the engineering management knowledge and the ability to use different approaches and techniques needed to be successful in managing engineering and technical projects and teams. The target groups for the program are engineering (excluding industrial engineering graduates), science and social science graduates. 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 System and Process Design Laboratory.

Key Learning Outcomes

1	Analytical and critical thinking; management of industrial projects and processes
2	Being able to perform quality and risk analysis while managing engineering projects; using interdisciplinary and other approaches that integrate product and service processes
3	Defining, prioritizing and selecting the appropriate techniques to solve the complex engineering problems and processes
4	Assessing equipments, techniques, sources, organizational systems and decision processes required to manage industrial processes successfully,
5	Holding a systems perspective in solving engineering management problems
6	Possessing the necessary organizational and group skills to manage projects and processes,
7	Ability to communicate effectively both orally and in written form
8	Holding professional and ethical responsibly,
9	Implementing engineering management knowledge and skills
10	Using appropriate methods and techniques to improve company excellence

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 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 supervisors. 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 5555	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	ENM 5005	FINANCIAL MANAGEMENT AND CONTROL	ELECTIVE	3	0	0	7
G	2	ENM 5007	INFORMATION SYSTEMS ANALYSIS AND DESIGN	ELECTIVE	3	0	0	7
G	3	ENM 5009	QUANTITATIVE METHODS FOR DECISION MAKING	ELECTIVE	3	0	0	8
G	4	ENM 5011	TOTAL QUALITY MANAGEMENT	ELECTIVE	3	0	0	8
G	5	MAT 5101	APPLIED MATHEMATICS	ELECTIVE	3	0	0	9
G	6	ENM 5023	PROCESS IMPROVEMENT & LEAN MANUFACTURING	ELECTIVE	3	0	0	8
G	7	ENM 5031	MODERN MANAGEMENT TECHNIQUES IN ENGINEERING	ELECTIVE	3	0	0	7
G	8	ENM 5035	BUSINESS MANAGEMENT AND ORGANIZATION	ELECTIVE	3	0	0	7
G	9	ENM 5033	MANAGERIAL ECONOMICS FOR ENGINEERS	ELECTIVE	3	0	0	7
G	10	ENM 5013	QUANTATIVE BUSINESS ANALYSIS I	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	ENM 5006	CUSTOMER RELATION AND SERVICES MANAGEMENT	ELECTIVE	3	0	0	8
B	2	ENM 5008	PRODUCTION MANAGEMENT SYSTEMS	ELECTIVE	3	0	0	8
B	3	ENM 5012	INDUSTRIAL APPLICATIONS OF SIMULATION	ELECTIVE	3	0	0	8
B	4	ENM 5014	QUANTATIVE BUSINESS ANALYSIS II	ELECTIVE	3	0	0	8
B	5	ENM 5018	TECHNOLOGY AND INNOVATION MANAGEMENT	ELECTIVE	3	0	0	8
B	6	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	ELECTIVE	3	0	0	9
B	7	ENM 5028	MANAGERIAL DECISION MODELING WITH SPREADSHEETS	ELECTIVE	3	0	0	8
B	8	ENM 5026	METHODS DESIGN & WORK MEASUREMENT	ELECTIVE	3	0	0	8
B	9	ENM 5042	BUSINESS PROCESS ANALYSES AND MODELING	ELECTIVE	3	0	0	6
B	10	ENM 5040	PROJECT MANAGEMENT	ELECTIVE	3	0	0	7
B	11	ENM 5038	STATISTICAL TECHNIQUES FOR ENGINEERING MANAGEMENT	ELECTIVE	3	0	0	8
B	12	ENM 5020	LOGISTICS MANAGEMENT	ELECTIVE	3	0	0	8

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
B	1	ENM 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

Second Cycle (Master's Degree) Non-Thesis Program is comprised of courses (81 ECTS) and term project (9 ECTS), in total 90 ECTS credits. 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, Türkiye
Phone: 232 301 76 00
E-mail adil.baykasoglu@deu.edu.tr

DEGREE PROGRAMMES