2239 Numerical Methods(Without Thesis)

GENERAL INFORMATION
Master of Science program, Quantitative Methods, Quantitative Methods Department of Management Science MSc programlarındanbiridir Dalí is connected. In general, the business-to-date developments in the field, theory and applications of analytical, critical and questioning students with a view to transferring the self-confidence and work / creativity and high efficiency at work is the owner of the individuals contributing to the growth of theoretical and practical knowledge to train the candidates for leader-managers who a program.

Objective
The MA program Department of Quantitative Methods, recent developments in the field of numerical methods, theory and applications of analytical, critical and inquiring perspective to students and their access to information, processes and methods of doing scientific research, teaching, academic perspective, interpretation, and reasoning ability to gain . The graduate program to access information with the quantitative and / or qualitative methods, the process of making and methods of scientific research to practical as possible by teaching students the academic perspective, the objectives and strategies aimed at providing interpretation and reasoning ability


Admission Requirements
First cycle degree, acceptable score on centralized graduate entrance exam, placement through local oral/written exam and certificate of English proficiency

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

Career Opportunties
banks, factories, public or private agencies

Qualification Awarded
Numerical Methods

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

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
 Prof. Dr. FEYZULLAH EROĞLU+90 258 296 2660 feroglu@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1Take of advanced information technologies
2In theory with practical knowledge and skills obtained from connected
3 Numerical techniques to apply successfully
4Large numerical analysis methods that take advantage of retail applications
5To contribute to the public by taking in active role
6In Community, detect whether and what way the numeric and within production systems.
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.

Learning Outcomes - 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
    

Learning Outcomes - Fields of Education Relation (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
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
COMPETENCIESField Specific Competencies 04
COMPETENCIESLearning Competence 01
    

Learning Outcomes - Fields of Education Relation (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
  Total 30  
1st Semester Elective Groups : Elective
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 501 BUSINESS MANAGEMENT 3+06Elective
ISY 503 ADVANCED PRODUCTION PLANNING AND CONTROLLING 3+06Elective
ISY 505 INTRODUCTION TO DECISION ANALYSIS 3+06Elective
ISY 507 MATHEMATICAL ECONOMICS 3+06Elective
ISY 509 FUZZY LOGIC APPLICATIONS 3+06Elective
ISY 511 LINEAR PROGRAMMING 3+06Elective
ISY 513 APPLIED STATISTICS IN SOCIAL SCIENCES 3+06Elective

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
- Elective 3+0 6 Elective
  Total 30  
2nd Semester Elective Groups : Elective
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 502 USING OF EXPERT SYSTEMS IN PLANTS 3+06Elective
ISY 504 STOCHASTIC PROCESSES 3+06Elective
ISY 506 STATISTICAL QUALITY CONTROL 3+06Elective
ISY 508 SCIENTIFIC RESEARCH METHODS 3+06Elective
ISY 510 STOCK MANAGEMENT AND CONTROLLING 3+06Elective
ISY 512 MATHEMATICAL PROGRAMMING 3+06Elective
ISY 514 SIMULATION METHODS 3+06Elective

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 519 TERM PROJECT 0+0 30 Compulsory
  Total 30  


COURSE & PROGRAM LEARNING OUTCOMES
Year : Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06
TERM PROJECTC******
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06
ADVANCED PRODUCTION PLANNING AND CONTROLLINGE******
APPLIED STATISTICS IN SOCIAL SCIENCESE******
BUSINESS MANAGEMENTE******
EXPERTISE FIELD COURSESE      
FUZZY LOGIC APPLICATIONSE******
INTRODUCTION TO DECISION ANALYSISE******
LINEAR PROGRAMMINGE******
MATHEMATICAL ECONOMICSE******
MATHEMATICAL PROGRAMMINGE      
SCIENTIFIC RESEARCH METHODSE******
SIMULATION METHODSE      
STATISTICAL QUALITY CONTROLE******
STOCHASTIC PROCESSESE******
STOCK MANAGEMENT AND CONTROLLINGE      
USING OF EXPERT SYSTEMS IN PLANTSE      
L+P: Lecture and Practice
C: Compulsory
E: Elective
PQ: 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
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