1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. BUSINESS MANAGEMENT DEPARTMENT
General Information Prog. Learning Outcomes Teaching & Learning Methods Course Structure Course & Learning Outcomes LO - NQF-HETR Relation LO - FOE (Academic) LO - FOE (Vocational)

2235 QUANTITATIVE METHODS

GENERAL INFORMATION
In this M.A. degree program, concepts and methods related to numerical methods are given theoretically and practically; students are given examples from current practices with an analytical and questioning perspective.

Objective
The aim of the program is to follow the developments in the field of numerical methods and to teach the subjects, which are explained theoretically and practically, from an analytical point of view.


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
HEAD OF THE DEPARTMENT OF INSTITUTEProf. Dr. DUYGU KOÇOĞLU  dkocoglu@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1Take of advanced information technologies
2In theory with practical knowledge and skills obtained from connected
3Numerical 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.

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
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
    

PO - FOE (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 511 LINEAR PROGRAMMING 3+0 7,5 Compulsory
- Numerical Methods Elective - 1 3+0 7,5 Elective
- Numerical Methods Elective - 1 3+0 7,5 Elective
- Numerical Methods Elective - 1 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Numerical Methods Elective - 1

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 550 SEMINAR 0+2 7,5 Compulsory
ISY 512 MATHEMATICAL PROGRAMMING 3+0 7,5 Compulsory
- Numerical Methods Elective - 2 3+0 7,5 Elective
- Numerical Methods Elective - 2 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Numerical Methods Elective - 2

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 500 MASTER'S THESIS 0+0 20 Compulsory
ISY 700 FIELD OF STUDY COURSE 6+0 10 Compulsory
- Optional Elective Sy 0+0 Elective
  Total 30  
3rd Semester Elective Groups : Optional Elective Sy

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ISY 500 MASTER'S THESIS 0+0 20 Compulsory
ISY 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 06
FIELD OF STUDY COURSEC***** 
LINEAR PROGRAMMINGC******
MASTER'S THESISC******
MATHEMATICAL PROGRAMMINGC      
POSTGRADUATE COUNSELINGC      
SEMINARC******
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******
FUZZY LOGIC APPLICATIONSE******
HEURISTIC METHODSE      
INTRODUCTION TO DECISION ANALYSISE******
JOB SEQUENCING AND SCHEDULINGE      
MANAGEMENT INFORMATION SYSTEMSE      
MATHEMATICAL ECONOMICSE******
MATHEMATICAL PROGRAMMINGE      
PROJECT MANAGEMENTE      
SCIENTIFIC RESEARCH METHODSE******
SIMULATION METHODSE      
STATISTICAL QUALITY CONTROLE******
STOCHASTIC PROCESSESE******
STOCK MANAGEMENT AND CONTROLLINGE      
SUPPLY CHAIN MANAGEMENTE      
TERM PROJECTE      
USING OF EXPERT SYSTEMS IN PLANTSE      
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