1441 Mathematics

GENERAL INFORMATION
Mathematics Programme offers both theoretical and application-specific courses in various specialized options like Analysis and Theory of Functions, Geometry, Applied Mathematics, Algebra and Number Theory, and Topology.

Objective
A person who graduated from the Mathematics Graduate Program will have expert knowledge one of the topics in analysis and theory of functions, geometry, applied mathematics, algebra and number theory and topology. Person graduated from a scientific point of view the real-world problems are shaped by the ability of scientific research finding necessary information in the literature, making the necessary observations and the information obtained by analyzing, the resulting and writing the information.


Admission Requirements
Standardized graduate examination given by OSYM (ALES), 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
The mathematics graduates are employed in public and private sector and many areas related to their profession. In addition, our graduates which have completed pedagogical formation courses has been working as a teacher in educational institutions.

Qualification Awarded
Mathematics

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. MUSTAFA AŞCI  masci@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1Understands and applies the mathematical proof.
2Reads, understands and uses the basic definitions.
3Has an advanced level of critical thinking skills.
4Solves advanced problems using standard mathematical techniques.
5Uses mathematic as the language of science.
6Writes a software programme for mathematical calculations.
7Gains experiences for the application areas of mathematics and mathematical modelling.
8Has the ability to conduct original research and independent publication.
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.
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. 
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
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.
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
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 :
Course Plan

1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAT 582 ADVANCED LINEAR ALGEBRA 3+0 7,5 Compulsory
FBE 610 METHODS OF RESEARCH AND ETHICS 3+0 7,5 Compulsory
MAT 606 MATHEMATICAL ANALYSIS 3+0 7,5 Compulsory
- Mathematics Elective 1 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Mathematics Elective 1

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
MAT 599 SEMINAR 0+2 7,5 Compulsory
- Mathematics Elective 2 3+0 7,5 Elective
- Mathematics Elective 2 3+0 7,5 Elective
- Mathematics Elective 2 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Mathematics Elective 2

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

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


COURSE & PROGRAM LEARNING OUTCOMES
Year :
Numerical Verbal The Presence of Relationship
Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
ADVANCED LINEAR ALGEBRAC* * * **
FIELD OF STUDY COURSEC        
MASTER'S THESISC*  *   *
MATHEMATICAL ANALYSISC********
METHODS OF RESEARCH AND ETHICSC        
POSTGRADUATE COUNSELINGC        
SEMINARC      **
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
ADVANCED ALGEBRAE        
ADVANCED COMPLEX ANALYSIS E******* 
ADVANCED LINEAR ALGEBRAE* * * **
ADVANCED PROGRAMMINGE        
ADVANCED REGULAR MATRIX MAPPINGS IE* * * **
ADVANCED REGULAR MATRIX MAPPINGS IIE* ** ** 
ADVANCED RINGS THEORY IIE* **  * 
ADVANCED THEORY OF DIFFERENTIAL EQUATIONSE        
ADVANCED TOPOLOGY E        
ALGEBRAIC TOPOLOGY IE* ***   
ALGEBRAIC TOPOLOGY IIE *****  
AN INTRODUCTION TO NONASSOCIATIVE ALGEBRASE        
ANALYSIS ON TIME SCALES IE* ***   
ANALYSIS ON TIME SCALES IIE*****   
ANALYTICAL METHODS IN APPLIED MATHEMATICSE        
APPLIED DIFFERENTIAL GEOMETRY IE* **   *
APPLIED DIFFERENTIAL GEOMETRY IIE* **   *
APPLIED DIFFERENTIAL GEOMETRY-IE* **  **
APPLIED DIFFERENTIAL GEOMETRY-IIE*  *  **
APPLIED MATHEMATICAL PROGRAMMINGE        
APPROXIMATE METHODS AND MATHEMATICAL MODELINGE        
APPROXIMATION THEORY OF FUNCTIONS IE* * **  
APPROXIMATION THEORY OF FUNCTIONS IIE* **  * 
AUTOMORPHIC FUNCTIONSE        
CATEGORY THEORYE*  **   
CLASSICAL AND MODERN METHODS ON SUMMABILITY THEORY IE* * **  
CLASSICAL AND MODERN METHODS ON SUMMABILITY THEORY IIE* ***   
DIFFERENTIABLE MANIFOLDS -IE* **   *
DIFFERENTIABLE MANIFOLDS -IIE* **    
DIFFERENTIAL GEOMETRIC METHODS IN ANALITIC MECHANICS IE* **   *
DIFFERENTIAL GEOMETRIC METHODS IN ANALITIC MECHANICS IIE* **   *
DIFFERENTIAL GEOMETRY OF CURVES AND SURFACES IE****   *
DIFFERENTIAL GEOMETRY OF CURVES AND SURFACES IIE****   *
ECONOMICS, GEOMETRY, DYNAMICS IE* ***   
ECONOMICS, GEOMETRY, DYNAMICS IIE* ***   
FINITE DIFFERENCE EQUATIONSE* **    
FINITE DIFFERENCE METHODS FOR PARTIAL DIFFERENTIAL EQUATIONSE        
FRACTIONAL CALCULUSE        
FRACTIONAL DIFFERENTIAL EQUATIONSE        
FUNCTIONAL ANALYSIS IE* ** *  
FUNCTIONAL ANALYSIS IIE* ****  
FUNCTIONAL EQUATIONSE* ***   
GENERALISED CLASSICAL MECHANICS AND FIELD THEORY IE* **   *
GENERALISED CLASSICAL MECHANICS AND FIELD THEORY IIE* **   *
GEOMETRIC TOPOLOGYE        
GRAPH AND COMBINATORICS E********
GRAVITATION THEORIES AND COSMOLOGYE        
GROUP THEORY IE* **   *
HIGHER DIFFERENTIAL GEOMETRY-IE*  *   *
HIGHER DIFFERENTIAL GEOMETRY-IIE* **   *
HOMOLGY ALGEBRAE        
HYPERBOLIC GEOMETRY E********
INTEGRAL EQUATIONSE* ** ** 
INTRODUCTION TO LORENTZIAN GEOMETRYE* **  **
INTRODUCTION TO TOPOLOGYE* ****  
JET MANIFOLDS AND JET BUNCHES IE* **    
JET MANIFOLDS AND JET BUNCHES IIE* **   *
LATEXE        
LORENTZIAN GEOMETRYE*  ** **
MATHEMATICAL ANALYSISE********
MATRIX THEORYE        
METHODS OF RESEARCH AND ETHICSE        
MODULE THEORYE        
MÖBIUS TRANSFORMATIONSE********
NON-COMMUTATIVE RINGSE**** * *
NUMERICAL SOLUTIONS OF INTEGRAL EQUATIONSE* **  **
OPERATOR EQUATIONS THEORY IE **  ** 
OPERATOR EQUATIONS THEORY IIE* ***  *
OPTIMIZATION METHODS IE* ** *  
OPTIMIZATION METHODS IIE* ** *  
POSITIVE LINEAR OPERATORSE        
POSITIVE SOLUTIONS OF LINEAR OPERATORS IE **  ** 
POSITIVE SOLUTIONS OF LINEAR OPERATORS IIE** ***  
RECURRENCE RELATIONS, FIBONACCI AND LUCAS NUMBERSE        
REPRESENTATIONS OF GROUPSE        
RING THEORY IE* **  **
SELECTED TOPICS IN NUMERICAL ANALYSISE        
SEMI-RIEMANN MANIFOLDS IE* **  **
SEMI-RIEMANN MANIFOLDS IIE* **  **
SOLUTIONS OF THE EINSTEIN FIELD EQUATIONSE        
SPECIAL FUNCTIONSE* ** ** 
SPECTRAL THEORY OF LINEAR DIFFERENTIAL OPERATORSE* ***   
STRUCTURAL CHARACTERISTIC OF FUNCTIONS ON COMPLEX PLANE IE** ***  
STRUCTURAL CHARACTERISTIC OF FUNCTIONS ON COMPLEX PLANE IIE******  
TENSOR GEOMETRY AND APPLICATIONS IE* **   *
TENSOR GEOMETRY AND APPLICATIONS IIE* **  **
THE GEOMETRY OF DISCRETE GROUPSE********
THE THEORY OF GENERAL RELATIVITY AND INTEGRABLE SYSTEMSE        
THEORY OF ADVANCED DIVERGENT SERIES IE* ****  
THEORY OF ADVANCED DIVERGENT SERIES IIE*** ****
THEORY OF FUNCTIONS OF A REAL VARIABLEE** **   
THEORY OF GENERALIZED FUNCTIONS AND APPLICATIONSE        
TOPOLOGICAL AND METRIC SPACESE        
TOPOLOGICAL GROUPS E        
TOPOLOGICAL SEQUENCE SPACESE        
UNBOUNDED LINEAR OPERATOR THEORYE* ***   
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