ECTS Information Guide

Main Page

Information on the Institution

General Description of the Institution Address of Namık Kemal University Academic Calendar Academic Authorities Recognition of Prior Learning Recognition of Study Abroad List of Programmes Offered at TNKÜ General Admission Requirements General Registration Procedures ECTS Credit Allocation Arrangements for Academic Guidance

Degrees and Programmes

Doctorate(Third Cycle) Master's Degree(Second Cycle) Bachelor's Degree(First Cycle) Associate(Short Cycle)

General Information For Students

About Trakya and Tekirdağ Cost of Living Accommodation Meals Medical Facilities Facilities for Students with Special Needs Insurance Financial Support for Students Student Affairs Office Learning Facilities International Programmes Practical Information for Exchange Students Language Courses Internship Sports and Leisure Facilities Student Clubs Useful Phone Numbers

Diploma Supplement

National Qualifications

Industrial Engineering Master Degree With a Thesis Program

Academic Unit Presenting the Program

Industrial Engineering

Program Director

Prof. Dr. Aysun SAĞBAŞ

Program Type

Master Degree With a Thesis Program

Level of Degree Earned

Graduate (Master’s Degree).

Degree Earned

Post graduate diploma is given to the graduates who successfully complete the post graduate study at the concerning department depending upon the graduate school of natural and applied sciences.

Education Type

Tam zamanlı

Registration Acceptance Conditions

(1) Candidates who apply for admission to a master programme should hold a valid bachelor’s degree and, except the applicants to the Department of Music, a minimum score of 55 from the Selection Examination for Academic Personnel and Graduate Studies (ALES) administered by the Student Selection and Placement Centre (ÖSYM). Instead of ALES score, candidates may choose to submit the scores of other internationally accepted examinations whose validity and equivalency are determined by the University Senate. (2) The final admission score is determined as the total sum of %10 of the undergraduate GPA, %50 of ALES score and %40 of the grade received in the entrance examination which is conducted by a jury determined by and representing the Department. The final admission score should be at least 65. The number of accepted students is decided prior to the admission and the successful applicants are shortlisted according to the scores starting with the highest ones.

Recognition of Prior Learning

A student who has successfully completed at least one semester in a comparable master programme at another accredited institution is eligible as a lateral transfer. Lateral transfers are generally admitted after being evaluated on a case by case basis and upon the decision of the administration of the Department and the Graduate School.

Degree Requirements and Rules

to take a minimum of 7 courses with a minimum of 21 local credits.
to succeed in all the courses with a letter grade of at least CC/S
to prepare and defend a master's dissertation
to have a Cumulative Grade Point Average of at least 2.00/4.00 with a minimum of 120 ECTS credits.

Program Profile

It is aimed to train students with high technical problem solving skills, engineering intelligence and necessary knowledge, and at a level that will constitute a reference with the projects and thesis studies carried out with the faculty members of the department.

Occupational Profiles of Graduates

Graduates of the program work successfully in important private sector companies of our country in different sectors such as textile, automotive, electronics and chemistry. In addition, in areas such as finance, health, insurance in the service sector; They can find career opportunities in the public sector such as ministries, DPT and TAF, and in research institutions such as universities and TUBITAK. Main fields of work are production planning, quality control, production management, stock control, product development, process planning, maintenance planning, investment planning and feasibility studies, cost analysis, facility planning, workplace design, human resources management, information systems, business evaluation systems.

Access To Upper Degree

Upon successful completion of their master programme, the students are encouraged to embark on further academic studies on the graduate level (doctoral programme) on condition of having received the required score in ALES exam, possessing sufficient knowledge of English or another foreign language, and being successful in the entrance examination.

Exams, Assessment and Grading

For a student to have successfully completed the master programme, the GPA should be at least 65.

Grades

The grading system to evaluate the student performance is signified by the values in the chart below. For each course students are graded by letters. Letter grades, coefficients and ratios are as follows:

Grade	Letter Grade	Local Grade	Status
90-100	AA	4.00	Pass
85-89	BA	3.50	Pass
80-84	BB	3.00	Pass
75-79	CB	2.50	Pass
65-74	CC	2.00	Pass
0-64	FF	0	Fail

Graduation Requirements

Requirements for graduation are as stated in “Principles Regarding the Post graduate Degree” part.

Teaching Methods

Teaching methods are determined so as to improve skills, such as teaching-learning strategies, self-discipline, life-long learning, observation, sharing knowledge, presentation, critical thinking, teamwork, effective use of informatics.

Moreover, the choice of teaching methods pays heed to supporting students with different skills. The teaching methods used in the program are listed below*:

TEACHING METHODS*	LEARNING ACTIVITIES	MEANS
Course	Listening and interpretation	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Discussion Course	Listening and interpretation, observation/situation handling, critical thinking, question development	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Special Support / Structural Examples	Special skills planned beforehand
Case Study	Special skills planned beforehand
Brainstorming	Listening and interpretation, observation/situation handling, critical thinking, question development, team work	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Small Group Discussion	Listening and interpretation, observation/situation handling, critical thinking, question development	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Seminar	Research – lifelong learning, writing, reading, informatics, listening and interpretation, management skills	Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment
Group Study	Research – lifelong learning, writing, reading, informatics, critical thinking, question development, management skills, team work
Field / Land Study	Observation / situation handling, research – lifelong learning, writing, reading
Laboratory	Observation/situation handling, informatics, management skills, team work	Special equipment
Homework	Research – lifelong learning, writing, reading, Informatics	Internet database, library database, e-mail

*One or more of the listed methods can be used depending on the specificity of the course.

Program Outcomes

1-Students have the ability of using of the knowledge and solutions obtained in Industrial Engineering in multidisciplinary works
2-Students take the responsibility and finding solutions in unusual situation in Industrial Engineering
3-Students learn to design the experiments, do the experiments, collect data, analyse and interpret findings when dealing with industrial engineering problems
4-Students generate, select and/or use the modern techniques in Industrial Engineering applications; and learn to use information technologies efficiently
5-Students have the capability of designing, developing, applying and improving the systems containing people, materials, information, tools and energy
6-Students identify, define, formulate, and solve complex Industrial Engineering problems to choose the appropriate analytical methods and model techniques and gain application skills for this purpose
7-Students gain sufficient basic skills about the topics of Mathematics, Science and Industrial Engineering and the ability to use theoretical and practical knowledge in these areas for engineering solutions
8-Students become aware of the effects of engineering solutions on health, environment and safety and gain up-to-date knowledge on related issues
9-Students have knowledge about the practices of business life, such as project management, risk management and change management; awareness about entrepreneurship, innovativeness and sustainable development
10-Students gain the ability to analyse the theoretical research and determine the novel research problems
11-Students monitor the developments in Science and Technology and constantly renew themselves by giving importance to life-long-learning
12-Students are able to use Turkish efficiently in written and oral communication; having foreign language qualification in order to follow the related international literature and communicate

Curriculum

Course
Industrial Engineering
2023-2024 Fall Semester

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-04	Scientific Research Techniques and Scientific Ethics		3	0	5
LÜ-FBE-01	Special Topics		8	0	10
Elective	2023-2024 Güz Dönemi Endüstri Mühendisliği Seçmeli Dersler()				45
LÜ-EM-02	Decision Analysis and Multi Criteria Decision Making		3	0	5
LÜ-EM-06	Production Planning		3	0	5
LÜ-EM-01	Response Surface Design and Analysis		3	0	5
Total ECTS:					60
2023-2024 Spring Term

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-02	MSc. Seminar		0	2	5
LÜ-FBE-04	Scientific Research Techniques and Scientific Ethics		3	0	5
LÜ-FBE-01	Special Topics		8	0	10
Elective	2023-2024 bahar endüstri()				45
LÜ-EM-05	Design and Analysis of Lean Manufacturing Systems		3	0	5
LÜ-EM-09	Fuzzy Logic and Applications		3	0	5
LÜ-EM-01	Response Surface Design and Analysis		3	0	5
Total ECTS:					65
Total ECTS(Year):					125
Thesis
2023-2024 Fall Semester

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-01	Special Topics		8	0	10
LÜ TEZ	Thesis		0	0	20
Total ECTS:					30
2023-2024 Spring Term

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-01	Special Topics		8	0	10
LÜ TEZ	Thesis		0	0	20
Total ECTS:					30
Total ECTS(Year):					60

Matrix of Course - Program Outcomes

LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics
#
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1

LÜ-EM-02 Decision Analysis and Multi Criteria Decision Making
#
	4	5	5	4	5	5	4	4	4	4	4	3
	4	5	5	4	5	5	4	4	4	4	4	3
	4	5	5	4	5	5	4	4	4	4	4	3
	4	5	5	4	5	5	4	4	4	4	4	3

LÜ-EM-06 Production Planning
#
	3	4	3	4	4	4	4	2	2	2	4	3

LÜ-EM-01 Response Surface Design and Analysis
#
	3	2	4	2	2	4	3	3	4	1	2	3
	3	2	4	2	2	4	3	3	4	1	2	3
	3	2	4	2	2	4	3	3	4	1	2	3

LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics
#
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1

LÜ-EM-09 Fuzzy Logic and Applications
#
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4

LÜ-EM-01 Response Surface Design and Analysis
#
	3	2	4	2	2	4	3	3	4	1	2	3
	3	2	4	2	2	4	3	3	4	1	2	3
	3	2	4	2	2	4	3	3	4	1	2	3

LÜ TEZ Thesis
#
	5	5	5	5	5	5	4	4	4	4	4	4
	5	5	5	5	5	5	4	4	4	4	4	4
	5	5	5	5	5	5	4	4	4	4	4	4
	5	5	5	5	5	5	4	4	4	4	4	4

LÜ TEZ Thesis
#
	5	4	5	4	3	5	5	4	4	4	4	4
	5	4	5	4	3	5	5	4	4	4	4	4
	5	4	5	4	3	5	5	4	4	4	4	4
	5	4	5	4	3	5	5	4	4	4	4	4

LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics
#
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1

LÜ-EM-09 Fuzzy Logic and Applications
#
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4

LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics
#
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1

LÜ-EM-09 Fuzzy Logic and Applications
#
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4

LÜ-FBE-04 Scientific Research Techniques and Scientific Ethics
#
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1
	1	1	1	1	1	1	1	1	1	1	1	1

LÜ-EM-09 Fuzzy Logic and Applications
#
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4
	4	5	5	4	4	5	4	4	4	5	4	4