2619 MANAGEMENT INFORMATION SYSTEMS PHD

GENERAL INFORMATION
Department of Management Information Systems is a department that is intertwined with technology. There are many departments related to management information systems in universities of developed knowledge-based economies around the world. Moreover the existence of such departments is an indicator of the development of countries. In our country, the number of management information systems is very few compared to the number of existing universities. Examples abroad: Department of Management Information Systems, Eller College of Management, The University of Arizona, Arizona, USA. - Department of Management Information Systems, Lee Business School, University of Nevada, Las Vegas, USA. Department of Management Information Systems at College of Business Administration Home, Kent State University, Kent, Ohio, USA The University of Alabama, which is among the top 200 universities in the world ranking in the social sciences (QS World university Rankings) contain management, information systems and quantitative methods (decision making techniques). Similarly, at the University of Illinois (ULC), which is in the top 150, informatics and decision sciences are under a single department. In Saint Louis University, information technology management and decision sciences are combined in the single department. On the other hand, at Carnegie Mellon University, which is among the top 100 universities, there is a faculty called School of Information Systems & Management which contains these disciplines. Although in recent years, demand for people who studied education of Management Information Systems increasing, the number of people with this property are very few in Turkey. Therefore, it is predicted that our graduates have many employment opportunities and their income will be higher than the average income of university graduates.

Objective
The purpose of Pamukkale University Management Information Systems Department undergraduate/graduate programs is to train students who can develop and manage information systems in businesses, solve problems and make decisions professionally, and have business knowledge at a level to manage information economy businesses, and to establish their academic infrastructure.


Admission Requirements
In order to apply for the doctorate program, candidates must have a bachelor's and master's degree (master's degree is not required for integrated doctoral education), ALES score not less than 60 points, and a score of 55 or higher from YDS or a foreign language exam deemed equivalent by the Higher Education Council.

Graduation Requirements
Successful completion of the courses taken from the graduate curriculum is required. After the course phase, the thesis work should be submitted under the supervision of the advisor. In addition, this thesis must be successfully presented orally in front of the jury to be appointed.

Career Opportunties
Our graduates can work in the public and private sectors.

Qualification Awarded
Management Informatıon Systems 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
Successful completion of the courses taken from the graduate curriculum is required. After the course phase, the thesis work should be submitted under the supervision of the advisor. In addition, this thesis must be successfully presented orally in front of the jury to be appointed.

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. SELÇUK BURAK HAŞILOĞLU  hasiloglu@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1Ability to work in a team and ability to work individually
2Strong written and verbal communication skills, good at least one foreigner language, ability to write and present technical reports
3To have the effective oral and verbal communication skills, correctly interpreting developments and decision making skills.
4Believing in lifelong learning and improvement in technology
5Responsible in ethical principles of proficiency.
6Ability to transform individual enterprises to general benefit of society.
7Possession of theoretical and applied knowledge in computer sciences
8Possession of skills for designing a system, subsystem or a process to meet specified requirements
9Possession of skills for designing experiments, conducting experiments, data collection and analysis
10Understands and applies basic functions and concepts of information aidad business science.
11Uses informatioan based current methods and technologies of business in institutional context.
12Defines potential problems about business and solves them with information based methods.
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
PerformanceIn this method, the teacher performs activities such as experiments and demonstrations in front of the class, students try to learn by looking and watching. This method is usually applied where there are limited facilities and in dealing with dangerous experimental situations.
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
Cooperative LearningCooperative Learning is; a kind of learning that is based on students working together for a common purpose. Children with different skills come together in heterogeneous groups and learn by helping each other. Students gain experiences such as becoming aware of the unity within the
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.
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.
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
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
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESField Specific Competencies 01
    

PO - FOE (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
Course Plan

1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 601 DATA ANALYTICS AND RESEARCH METHODS 3+0 7,5 Compulsory
- MIS PhD Elective 3+0 7,5 Elective
- MIS PhD Elective 3+0 7,5 Elective
- Joint Discipline Elective 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Joint Discipline Elective
1st Semester Elective Groups : MIS PhD Elective

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 602 DECISION SCIENCE AND APPLICATIONS 3+0 7,5 Compulsory
YOBS 698 SEMINAR - I 0+2 7,5 Compulsory
- MIS PhD Elective 3+0 7,5 Elective
- MIS PhD Elective 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : MIS PhD Elective

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 699 SEMINAR - II 0+2 7,5 Compulsory
- MIS PhD Elective 3+0 7,5 Elective
- MIS PhD Elective 3+0 7,5 Elective
- Joint Discipline Elective 3+0 7,5 Elective
  Total 30  
3rd Semester Elective Groups : Joint Discipline Elective
3rd Semester Elective Groups : MIS PhD Elective

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENS 600 PROFICIENCY EXAM PREPARATION 0+0 15 Compulsory
ENS 602 THESIS PROPOSAL PREPARATION 0+0 15 Compulsory
  Total 30  

5th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 800 DOCTORATE SPECIALIZED FIELD TOPICS 8+0 10 Compulsory
YOBS 600 DISSERTATION 0+0 20 Compulsory
  Total 30  

6th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 600 DISSERTATION 0+0 20 Compulsory
YOBS 800 DOCTORATE SPECIALIZED FIELD TOPICS 8+0 10 Compulsory
  Total 30  

7th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 600 DISSERTATION 0+0 20 Compulsory
YOBS 800 DOCTORATE SPECIALIZED FIELD TOPICS 8+0 10 Compulsory
  Total 30  

8th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
YOBS 600 DISSERTATION 0+0 20 Compulsory
YOBS 800 DOCTORATE SPECIALIZED FIELD TOPICS 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 12
DATA ANALYTICS AND RESEARCH METHODSC            
DECISION SCIENCE AND APPLICATIONSC            
DISSERTATIONC            
DOCTORATE SPECIALIZED FIELD TOPICSC            
PROFICIENCY EXAM PREPARATIONC            
SEMINAR - IC            
SEMINAR - IIC            
THESIS PROPOSAL PREPARATIONC            
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
ALGORITHM DESIGN AND ANALYSISE            
APPLIED STATISTICS WITH RE            
ARTIFICIAL INTELLIGENCE AND APPLICATIONSE            
ARTIFICIAL NEURAL NETWORKS AND APPLICATIONSE            
BUSINESS INTELLIGENCE SYSTEMSE            
CLOUD COMPUTING BASICSE            
COMPUTER NETWORKS AND SECURITYE            
CURRENT MARKETING APPROACHESE            
DATA ANALYTICSE            
DATA WAREHOUSE AND DATA MININGE            
DIGITAL MARKETING AND STRATEGIESE            
E-BUSINESS MANAGEMENTE            
EXPERIMENTAL DESIGN AND ANALYSISE            
FUZZY LOGIC AND APPLICATIONSE            
GEOGRAPHICAL INFORMATION SYSTEMSE            
HUMAN RESOURCE MANAGEMENTE            
INTRODUCTION TO RASCH MEASURMENT MODELS AND ITEM RESPONSE THEORYE            
INTRODUCTION TO STRUCTURAL EQUATION MODELINGE            
MIXED METHOD RESEARCHESE            
POSTGRADUATE COUNSELINGE            
PSYCHOMETRYE            
QUALITATIVE DATA ANALYSISE            
QUANTITATIVE TECHNIQUES FOR DECISION MAKINGE            
SEMANTIC WEB TECHNOLOGIESE            
SOCIAL MEDIA MARKETINGE            
SOCIAL NETWORK ANALYSIS E            
SOFTWARE PROJECT MANAGEMENTE            
SYSTEM ANALYSIS AND BASICSE            
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