1609 Mechanical Engineering PhD

GENERAL INFORMATION
The Mechanical Engineering Programme offers both theoretical and application-specific courses in various specialized options like Mechanics, Construction and Manufacturing, Theory of Machine and Dynamics, Energy, and Thermodynamics.

Objective
The educational objectives of the Doctora (PhD) program is to train graduates who have a depth of knowledge in a particular field or subfield of mechanical engineering in which they are recognized as experts and/or innovators. The graduates are expected to have a working knowledge of complementary areas of mechanical engineering, other engineering disciplines, and mathematics. They also have the ability to formulate a research plan, and the skills to conduct a research and to generate and analyze original research results. They are able to communicate effectively through oral presentations and written publications.


Admission Requirements
Academic Personnel and Postgraduate Education Entrance Exam (ALES) / Interuniversity Foreign Language Examination (UDS) or Public Personnel Foreign Grammar Placement Test (KPDS) / Graduation Grade

Graduation Requirements
A student must complete the required course load (21 PAU credits) with a Cumulative Grade Point Average (CGPA) of at least 3.00/4.00; present a research seminar, prepare and defend a Doctora thesis successfully.

Career Opportunties
Graduates of this program are employed in many areas. They can be employed at research departments of institutions and universities rather than standard mechanical engineering fields.

Qualification Awarded
Mechanical Engineering Phd

Level of Qualification
Third Cycle (Doctorate Degree)

Recognition of Prior Learning
A successful student who has completed at least one semester in another institution / department of the university or another post-graduate program of another higher education institution may be admitted to the post-graduate programs by horizontal transfer. The conditions for acceptance by horizontal transfer are determined by the Senate.

Qualification Requirements and Regulations
A student must complete the required course load (21 PAU credits) with a Cumulative Grade Point Average (CGPA) of at least 3.00/4.00; present a research seminar, prepare and defend a Doctora thesis successfully.

Access to Further Studies
A student graduated with a good PhD Degree may carry on an academic carrier as a lecturer or post doctorate researcher.

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. ÖZLER KARAKAŞ  okarakas@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1To have sufficient basic facilities about the topics of Mathematics, Science and Mechanical Engineering; the ability to use theoretical and practical knowledge in these areas for engineering solutions.
2To identify, define, formulate, and solve Complex engineering problems; to choose the appropriate analytical methods and modeling techniques and to have application skills for this purpose.
3A system, system component or process to analyze and realistic constraints required to meet the requirements under the ability to design; in this direction, to have application skills for applying modern design methods.
4The modern techniques for engineering applications and the ability to select and use tools, effective use of information technology skills.
5Experimental design, experimentation, data collection, analyze and interpret the results.
6For the purpose of doing research access to information and resources, and the ability to use databases and other sources of information, to have the required level of knowledge of computer software and hardware.
7Ability to function effectively in multidisciplinary teams as an individual , confidence to take responsibility, the ability to complete when starting a job and the ability to produce solutions when face complex situations by taking responsibility.
8To have foreign language knowledge to be able to follow and use information that relating to their areas and able to communicate with colleagues.
9Monitoring the developments in science and technology and the ability to constantly renew itself, to be open to innovative ideas.
10Professional and ethical responsibility.
11Knowledge and awareness about occupational safety, worker health, social security rights, quality control and management and environmental protection.
12The ability to comprehend the affects of the engineering solutions and their practices in a global and societal context.
13The ability to inform specialist or non-specialist audience groups on issues related to engineering problems and their solutions in writing and orally.
14To have knowledge and skills for developing and implementing any project in the field of their areas, to have awareness for inclusion the employees under the responsibility in projects ,to have skills to plan and manage professional events.
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
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
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
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
SKILLS  04
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
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
SKILLS  01
SKILLS  02
SKILLS  03
SKILLS  04
SKILLS  05
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
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
COMPETENCIESLearning Competence 01
COMPETENCIESLearning Competence 02
COMPETENCIESLearning Competence 03
COMPETENCIESLearning Competence 04
    

PO - FOE (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 520 SYMBOLIC COMPUTATION WITH MAPLE 3+0 7,5 Compulsory
- Mechanical Engineering PhD Elective Fall 3+0 7,5 Elective
- Mechanical Engineering PhD Elective Fall 3+0 7,5 Elective
- Mechanical Engineering PhD Elective Fall 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Mechanical Engineering PhD Elective Fall

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 698 SEMINAR - I 0+2 7,5 Compulsory
MAK 502 ADVANCED ENGINEERING MATHEMATICS - II 3+0 7,5 Compulsory
- Mechanical Engineering PhD. Elective Spring 3+0 7,5 Elective
- Mechanical Engineering PhD. Elective Spring 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Mechanical Engineering PhD. Elective Spring

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
FBE 897 DEVELOPMENT AND LEARNING 3+0 7,5 Compulsory
FBE 896 PLANNING AND ASSESSMENT IN EDUCATION 3+2 7,5 Compulsory
MAK 699 SEMINAR - II 0+2 7,5 Compulsory
FBE 610 METHODS OF RESEARCH AND ETHICS 3+0 7,5 Compulsory
  Total 30  

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENS 600 PROFICIENCY EXAM PREPARATION 0+0 20 Compulsory
ENS 602 THESIS PROPOSAL PREPARATION 0+0 10 Compulsory
  Total 30  

5th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 600 PHD THESIS 0+0 20 Compulsory
MAK 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

6th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 600 PHD THESIS 0+0 20 Compulsory
MAK 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

7th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 600 PHD THESIS 0+0 20 Compulsory
MAK 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

8th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAK 600 PHD THESIS 0+0 20 Compulsory
MAK 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  


COURSE & PROGRAM LEARNING OUTCOMES
Year : Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
ADVANCED ENGINEERING MATHEMATICS - IIC**************
DEVELOPMENT AND LEARNINGC              
METHODS OF RESEARCH AND ETHICSC              
PHD EXPERTISE FIELD COURSESC              
PHD THESISC**************
PLANNING AND ASSESSMENT IN EDUCATIONC              
POSTGRADUATE COUNSELINGC              
PROFICIENCY EXAM PREPARATIONC              
SEMINAR - IC              
SEMINAR - IIC              
SYMBOLIC COMPUTATION WITH MAPLEC**************
THESIS PROPOSAL PREPARATIONC              
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
ADVANCED DYNAMICSE**************
ADVANCED ENGINEERING MATHEMATICS - IE**************
ADVANCED FLUID MECHANICSE**************
ADVANCED HEAT CONDUCTIONE**************
ADVANCED HEAT CONVECTIONE**************
ADVANCED HEAT TRANSFER BY RADIATIONE**************
ADVANCED MECHANICS OF MATERIALSE**************
ADVANCED THERMODYNAMICSE**************
AIR CONDITIONING AND MASS TRANSFER IN NONRESIDENTIAL BUILDINGSE**************
ANISOTROPIC ELASTICITYE**************
APPLICATION OF FINITE ELEMENT METHODE**************
COMBUSTIONE**************
COMPOSITE MATERIALS AND MANIFACTURING METHODSE**************
COMPUTATIONAL FLUID DYNAMICSE**************
CORROSIONE* ** *******  
ENERGY EFFICIENCY AND PLANNINGE**************
FAILURE ANALYSIS OF COMPOSITE MATERIALSE**************
FATIGUE BEHAVIOURS OF LIGHT METALSE* **********  
FATIGUE OF MATERIALSE**************
FINITE ELEMENT METHODE**************
FLOW MEASUREMENT TECHNIQUESE**************
FRACTURE MECHANICSE**************
GEAR MATERIALS AND SPECIAL TREATMENTSE   **   *     
HEAT EXCHANGERSE**************
HEAT TRANSFER IN MULTIPHASE SYSTEMSE**************
HEAT TREATMENTSE**************
HEAT, MASS AND MOMENTUM TRANSFERE**************
HEAT, POWER SYSTEM AND EXERGY ANALYSISE**************
HYDROGEN ENERGY AND TECHNOLOGIESE**************
MAINTENANCE TECHNIQUEE* ** *******  
MAKINE ELEMANLARINDA HASAR ANALIZIE**************
MATERIAL SELECTION IN MACHINE DESIGNE**************
MECHANICAL EXPERIMENTS OF COMPOSITE MATERIALSE**************
MECHANICS OF COMPOSITE MATERIALSE**************
MECHANICS OF SOLIDSE****  **** ***
MODELLING OF INDUSTRIAL COMBUSTION PROCESSESE**************
MOLECULAR SIMULATION AND MODELINGE              
NATURAL GAS TECHNOLOGY AND INSTALLATIONE**************
NUMERICAL ANALYSIS OF VIBRATIONE**************
PLASTIC FORMING TECHNOLOGIESE**************
RELIABILITY ON MACHINE DESIGNE              
RENEWABLE ENERGY RESOURCESE**************
ROBOT KINEMATICSE**************
ROBOT MECHANICS AND CONTROL SYSTEMSE**** ***** ** 
SOLAR ENERGY TECHNOLOGIESE**************
SPATIAL DYNAMICSE****  *** ****
SPECIAL STEELS - IE              
STATISTICAL THERMODYNAMICSE**************
STRUCTURAL DURABILITYE* **********  
SURFACE TECHNIQUEE* ** *******  
SYMBOLIC COMPUTATION WITH MAPLEE**************
SYSTEMATIC MACHINE DESIGNE**************
THEORY OF COMPOSITE PLATES AND SHELLSE**************
THEORY OF ELASTICITYE**************
THEORY OF PLASTICITYE**************
THERMAL DESIGN AND OPTIMIZATIONE**************
THERMO ELASTICITYE**************
VACUUM TECHNIQUEE**************
VISUAL C++ AND ENGINEERING APPLICATIONS IE**************
VISUAL C++ AND ENGINEERING APPLICATIONS IIE**************
WELDING OF NONFERROUS METALS AND PLASTICSE* **********  
WELDING OF STEELS AND CAST IRONSE* **********  
WIND ENERGY AND SYSTEMSE**************
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