1261 Industrial Engineering

GENERAL INFORMATION
The Industrial Engineering Graduate Program has been designed and operated by the Department of Industrial Engineering. The program accepted its first students in the academic year of 2002-2003. In order for candidates to be accepted into the program they are required to meet necessary criteria set out by the Natural Sciences Institute by PAU and pass the required exams. The main principle of the program is to provide an up-to-date, practical and research oriented engineering education. Most-up-to-date information regarding the programs can be gathered through http://endustri.pau.edu.tr or PAU Education Information System.

Objective
The educational objectives of the graduate program of our department are to enable our graduates to create value in the fields of research and practice by enabling them to have the following characteristics: • In the light of the systems thinking and sustainability approach; ability to use data-based analysis and analytical decision-making methods for defining and solving problems in business processes. • By developing communication networks at the national and international level in the business and research eco-system; capacity to generate scientific, social and cultural output. • Ability to use leadership, entrepreneurship, ethics and social responsibility skills effectively. • Ability to adopt a development approach based on lifelong learning and research.


Admission Requirements
Students who confirm that they have the right to graduate or graduation in the fields announced prior to the entrance exam date can apply to the master's program. Additional conditions to be sought for candidates are determined and announced by the Institute Board in accordance with the relevant regulations.

Graduation Requirements
In order to graduate, the student has to achieve a GPA of 3.00 in the graduate program. Seminars, specialized courses and credits of thesis work, will not be included in the academic grade average, it is considered successful or unsuccessful.

Career Opportunties
Graduates of this program can take part in senior and mid-level management positions in the Production and Service sectors.

Qualification Awarded
Industrial Engineering

Level of Qualification
Second Cycle (Master's Degree)

Recognition of Prior Learning
Recognition of previous structured lectures in Turkish Higher Education Institutions, transitions in vertical, horizontal and university are realized within the scope of the "Higher Education Regulations", "REGULATION BETWEEN THE BACHELORS AND GRADUATE DEGREE PROGRAMS, ON HIGHER EDUCATION AND TRANSITION BETWEEN DOUBLE MAJOR DALL, SIDE DALL AND CREDIT TRANSFER STANDARDS

Qualification Requirements and Regulations
In order to graduate, the student has to achieve a GPA of 3.00 in the graduate program. Seminars, specialized courses and credits of thesis work, will not be included in the academic grade average, it is considered successful or unsuccessful.

Access to Further Studies
May apply to PhD programs

Mode of Study
Full Time

Examination Regulations, Assessment and Grading
Measurement and evaluation methods that is applied for each course, is detailed in "Course Structure&ECTS Credits".

Contact (Programme Director or Equivalent)
PositionName SurnamePhoneFaxE-Mail
HEAD OF THE DEPARTMENT OF INSTITUTEProf. Dr. AŞKINER GÜNGÖR  askiner@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1 Students gain sufficient basic skills about the topics of Mathematics, Science and Industrial Engineering; the ability to use theoretical and practical knowledge in these areas for engineering solutions.
2Students 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.
3Students gain the ability to design a complete or a component of a complex system under realistic constraints related to economy, environment, sustainability, ethics, health, safety, social and politics.
4Students generate, select and/or use the modern techniques in industrial engineering applications; and learn to use information technologies efficiently.
5Students learn to design experiments, do experiments, collect data, analyze and interpret findings when dealing with industrial engineering problems.
6Students gain skills to work efficiently and manage a multi-disciplined team while focusing on his/her own responsibility.
7Students monitor the developments in science and technology and constantly renew themselves by giving importance to life-long-learning.
8Students gain skills to manage entrepreneurship, innovation and sustainability related risk and change management projects.
9Students become aware of the effects of engineering solutions on health, environment and safety and gain up-to-date knowledge on related issues.
10Students gain the ability to analyze the theoretical research and determine the novel research problems.
TEACHING & LEARNING METHODS
NameComments
LecturingLecturing is one of the methods that come first, where the teacher is in the center. It is a method where the teacher actively describes topics and the students are passive listeners. With this method, lesson proceeds in the form of report, description and explanation.
DebateDepending on the situation, debate is a tool that allows all students, or a specific portion of the class to participate in the lesson. In this method, members of the group discuss a topic by addressing the various points of view and discuss alternative opinions about problem-solving.
DemonstrationIn this method the teacher demonstrates, an experiment, test, in front of the class. And then assists students to do so too. Students learn not only by just by looking and watching, but also by taking part and participating. This method is usually applied when teaching skills.
Case Study Case studies require students to actively participate while using an analytical perspective to think about real and problematic events. The problematic event may be real or very close to real life. Student(s) working on the documents that include the necessary data and descriptions of the
Problem SolvingThe name given to any doubt or ambiguity that arises is, a problem. Problems which usually have a role in human life, that have preventing or annoying aspects are solved by considering the stages of scientific methods. (a) Problems are determined. (b) The problem is identified. 
Cooperative LearningCooperative Learning is; a kind of learning that is based on the students working together for a common purpose. Children with different skills come together in heterogeneous groups to learn by helping each other. Students gain experiences such as becoming aware of the unity
Questions –AnswersThe different types of Questions used (associative, differential, assessment, requesting information, motivating, and brainstorming) although students get in to more active positions during the process; the method is teacher-centered. If possible Questions, that serve a purpose and
Concept MapsExpress a relation network, based on figures, graphics and words propositions and principles. It enables visual learning. These steps are followed: 1) Concepts about the subjects to be taught are listed. 2) The name of the subject that will be taught is written at the top.3) Relations between
Meaning Analysis ChartsThe Meaning Analysis Charts is a method that allows students to participate actively in class. Students learn by working on a two-dimensional table. For example, if in one dimension there are animals and in the other dimension food is shown, students have the opportunity to learn by
Scenario-based teaching Although it is similar to the Case Study method, there is a fictional approach in the scenario. The subject can be presented by inserting it in to a fiction and can also lead the student’s to producing their own scenarios.
Simulation Expresses situations where in real life learning is dangerous, difficult to reach and expensive and where students work on models which are very similar to the real thing. For example, before airplane pilots and astronauts embark their aircrafts and spacecrafts, they perform applications
Role Playing Role-playing is a learning way which helps students to express their own feelings and thoughts by playing the role of other personalities. It is necessary that students use creative thinking to succeed. Students put themselves in someone’s place by purifying themselves from their actual
Drama Drama is a method in which students learn a skill or situation by reenacting in front of the class. As well as gaining knowledge by experience, it has important effects on the development of verbal expression and socialization. It enables us to bring up individuals who are creative, productive,
ProjectProject-based learning is a learning way which leads students to deal with interesting problems and to create extraordinary products at the end of this. It allows students to use their creativity and it requires them to look at events perceptively.
Technical TourIs a method that takes learning to the out of the classroom. It is a method that provides students to make direct observations and to gain information by taking them to places, such as factories, museums, libraries, various government agencies, mountains, forests, lakes, parks and gardens.
Observation Although we generally get information related to the nature through observations, the Observation method can also be used for other situations and under other conditions. We try to reach certain generalizations by thinking about our findings which we gather from our observations.
Testing Means reaching results by using various information with certain mechanisms, which are set up to imitate natural events in artificial environments and to have students take a certain topics and applying them to reach certain aims/objectives. Nature researchers, scientists, and educators
InterviewThis is when the teacher brings in (writers, artists, designers, writers, illustrators, etc.) because he/she is not equipped with the adequate facilities to do with certain issues or situations. It is a technique that triggers the senses of students. In some cases, students interview certain people
Programmed InstructionAt its basis lays the Individualization of instruction. Programmed instruction is an individual teaching technique, guided by the reinforcement principles of Skinner. Its Basic principles are: the principle of small steps, the principle of effective participation, the achievement principle, the
Brainstorming Brainstorming is a group work process that has been regulated to reach solutions for a problem without limitations or evaluation. The purpose of brainstorming is to make it easier for students to express themselves and to generate ideas. This technique is used as a high-level discussion

PO - NQF-HETR Relation
NQF-HETR CategoryNQF-HETR Sub-CategoryNQF-HETRLearning Outcomes
INFORMATION  01
INFORMATION  02
SKILLS  01
SKILLS  02
SKILLS  03
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCommunication and Social Competence 04
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESLearning Competence 01
    

PO - FOE (Academic)
FOE CategoryFOE Sub-CategoryFOELearning Outcomes
INFORMATION  01
INFORMATION  02
INFORMATION  03
INFORMATION  04
SKILLS  01
SKILLS  02
SKILLS  03
SKILLS  04
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCommunication and Social Competence 04
COMPETENCIESCommunication and Social Competence 05
COMPETENCIESCommunication and Social Competence 06
COMPETENCIESCommunication and Social Competence 07
COMPETENCIESCommunication and Social Competence 08
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESCompetence to Work Independently and Take Responsibility 04
COMPETENCIESCompetence to Work Independently and Take Responsibility 05
COMPETENCIESCompetence to Work Independently and Take Responsibility 06
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESField Specific Competencies 04
COMPETENCIESLearning Competence 01
COMPETENCIESLearning Competence 02
COMPETENCIESLearning Competence 03
COMPETENCIESLearning Competence 04
    

PO - FOE (Vocational)
FOE CategoryFOE Sub-CategoryFOELearning Outcomes
INFORMATION  01
INFORMATION  02
SKILLS  01
SKILLS  02
SKILLS  03
SKILLS  04
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCommunication and Social Competence 04
COMPETENCIESCommunication and Social Competence 05
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESCompetence to Work Independently and Take Responsibility 04
COMPETENCIESCompetence to Work Independently and Take Responsibility 05
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESField Specific Competencies 04
COMPETENCIESLearning Competence 01
COMPETENCIESLearning Competence 02
COMPETENCIESLearning Competence 03
COMPETENCIESLearning Competence 04
COMPETENCIESLearning Competence 05
    

COURS STRUCTURE & ECTS CREDITS
Year :
Course Plan

1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENM 501 OPTIMIZATION TECHNICS I 3+0 7,5 Compulsory
FBE 610 METHODS OF RESEARCH AND ETHICS 3+0 7,5 Compulsory
- Industrial Engineering MSc Elective-1 3+0 7,5 Elective
- Industrial Engineering MSc Elective-1 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Industrial Engineering MSc Elective-1

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENM 599 SEMINAR 0+2 7,5 Compulsory
ENM 504 DECISION ANALYSIS AND MULTI-CRITERIA DECISION MAKING 3+0 7,5 Compulsory
- Industrial Engineering MSc Elective-1 3+0 7,5 Elective
- Industrial Engineering MSc Elective-1 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Industrial Engineering MSc Elective-1

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENM 500 MASTER'S THESIS 0+0 20 Compulsory
ENM 700 FIELD OF STUDY COURSE 6+0 10 Compulsory
  Total 30  

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENM 500 MASTER'S THESIS 0+0 20 Compulsory
ENM 700 FIELD OF STUDY COURSE 6+0 10 Compulsory
  Total 30  


COURSE & PROGRAM LEARNING OUTCOMES
Year : Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
DECISION ANALYSIS AND MULTI-CRITERIA DECISION MAKINGC**********
FIELD OF STUDY COURSEC**********
MASTER'S THESISC**********
METHODS OF RESEARCH AND ETHICSC          
OPTIMIZATION TECHNICS IC**********
POSTGRADUATE COUNSELINGC          
SEMINARC**********
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
ADVANCED INVENTORY MANAGEMENTE**********
ADVANCED LOGISTICS OPTIMIZATIONE**********
ADVANCED PRODUCTION PLANNING AND CONTROLLINGE**********
ADVENCED INVENTORY MANAGEMENTE**********
ADVENCED SIMULATIONE**********
APPLICATIONS OF SUSTAINABILITY IN INDUSTRIAL ENGINEERINGE          
COMPETITIVE PRODUCTION MANAGEMENT APPROACHESE          
DATA MININGE**********
DESIGN OF MANUFACTURE PROCESSESE          
FUZZY APPLICATIONS IN DECISION MAKINGE**********
FUZZY SET THEORYE**********
HEURISTIC METHODS AND APPLICATIONSE**********
INDUSTRIAL OPTIMIZATIONE**********
LOCATION AND LAYOUT OPTIMIZATIONE**********
MATLAB WITH APPLICATIONSE**********
MODELLING OF PRODUCTION AND SERVICE SYSTEMSE          
NETWORK OPTIMIZATIONE**********
NONLINEAR PROGRAMMINGE**********
OPTIMIZATION APPLICATIONS IN ENERGY SYSTEMSE          
OPTIMIZATION TECHNICS IIE**********
PORTFOLIO OPTIMIZATION AND ENGINEERING APPLICATIONSE**********
PROJECT PLANNING AND MANAGEMENT TECHNIQUESE          
QUALITY ENGINEERINGE**********
QUEUEING SYSTEMSE**********
RELIABILITY ENGINEERINGE**********
SEQUENCING AND SCHEDULING IN MANUFACTURINGE**********
SERVICE SYSTEMS OPTIMIZASION E**********
STATISTICAL DESIGN OF EXPERIMENTE**********
STOCHASTIC PROCESSESE**********
SUPPLY CHAIN AND LOGISTICS MANAGEMENTE**********
THE THEORY OF FINANCE AND ENGINEERING APPLICATIONSE**********
TIME MANAGEMENT ANALYSIS AND FORECASTING TECHNIQUESE**********
L+P: Lecture and Practice
C: Compulsory
E: Elective
PO: Program Learning Outcomes
TH [5]: Too High
H [4]: High
M [3]: Medium
L [2]: Low
TL [1]: Too Low
None [0]: None
FOE [0]: Field of Education
NQF-HETR : National Qualifications Framework For Higher Education in Turkey