ECTS Information Guide

Main Page

Information on the Institution

General Description of the Institution Address of Namık Kemal University Academic Calendar Academic Authorities Recognition of Prior Learning Recognition of Study Abroad List of Programmes Offered at TNKÜ General Admission Requirements General Registration Procedures ECTS Credit Allocation Arrangements for Academic Guidance

Degrees and Programmes

Doctorate(Third Cycle) Master's Degree(Second Cycle) Bachelor's Degree(First Cycle) Associate(Short Cycle)

General Information For Students

About Trakya and Tekirdağ Cost of Living Accommodation Meals Medical Facilities Facilities for Students with Special Needs Insurance Financial Support for Students Student Affairs Office Learning Facilities International Programmes Practical Information for Exchange Students Language Courses Internship Sports and Leisure Facilities Student Clubs Useful Phone Numbers

Diploma Supplement

National Qualifications

Mathematics Doctorate Degree Program

Academic Unit Presenting the Program

Mathematics

Program Director

Program Type

Doctorate Degree Program

Level of Degree Earned

Graduate (Doctoral Degree).

Degree Earned

Doctorate diploma is given to the graduates who successfully complete the doctorate study at the concerning department depending upon the graduate school of natural and applied sciences.

Education Type

Tam zamanlı

Registration Acceptance Conditions

(1) To be eligible for application to the doctoral programme, the candidates should hold an undergraduate (Bachelor’s) or a graduate (Master’s) degree, a ten year medicine, dentistry and veterinary faculty degree excepting the preparatory year, pharmeceutics and science faculty undergraduate or graduate degree or a laboratory field proficiency based on Ministry of Health regulations. The applicants should also hold a minimum of 55 in the Selection Examination for Academic Personnel and Graduate Studies (ALES) in the field they apply to. Instead of ALES score, candidates may choose to submit the scores of other internationally accepted examinations whose validity and equivalency are determined by the University Senate. For those who hold an undergraduate degree, a minimum of 70 in ALES in the field they apply to is required. (2) The final admission score for PhD applications is determined as the total sum of %10 of grade point average (GPA), %50 of the ALES standard grade, %40 of the grade received in the entrance examination, which is conducted by a jury determined by the Institute administration, for those with a graduate degree. For an applicant to be admitted, the grade should be a minimum of 70. The final grades are arranged from the highest to the lowest score and a number of applicants as per the announcement is admitted. However, in PhD admissions, a minimum of 55 in ÜDS or an equivalent in an examination accepted by the Inter-University Council is required; for foreign applicants, a minimum of 55 in ÜDS of one of English, French or German languages (which should be different from their mother language) or an equivalent in an examination accepted by the Inter-University Council is required. The University Senate has the right to increase these minimum requirements.

Recognition of Prior Learning

A student who has successfully completed at least one semester in a comparable doctoral programme at another accredited institution is eligible as a lateral transfer. Lateral transfers are generally admitted after being evaluated on a case by case basis and upon the decision of the administration of the Department and the Graduate School.

Degree Requirements and Rules

The students studying in this Ph.D program are required:
to take a minimum of 7 courses with a minimum of 21 local credits
to pass the qualifying examination,
to prepare and defend a doctoral dissertation
to succeed in all the courses with a letter grade of at least CB/S
to have a Cumulative Grade Point Average of at least 2.50/4.00 with a minimum of 240 ECTS credits.

Program Profile

Occupational Profiles of Graduates

Access To Upper Degree

Upon graduation, the PhD holders can apply for an academic position in higher education institutions at home and abroad or specialist positions in state institution research centres.

Exams, Assessment and Grading

For a student to have successfully completed the master programme, the GPA should be at least 75.

Grades

The grading system to evaluate the student performance is signified by the values in the chart below. For each course students are graded by letters. Letter grades, coefficients and ratios are as follows:

Grade	Letter Grade	Local Grade	Status
90-100	AA	4.00	Pass
85-89	BA	3.50	Pass
80-84	BB	3.00	Pass
75-79	CB	2.50	Pass
65-74	CC	2	Fail
0-64	FF	0	Fail

Graduation Requirements

Requirements for graduation are as stated in “Principles Regarding the Post graduate Degree” part.

Teaching Methods

Teaching methods are determined so as to improve skills, such as teaching-learning strategies, self-discipline, life-long learning, observation, sharing knowledge, presentation, critical thinking, teamwork, effective use of informatics.

Moreover, the choice of teaching methods pays heed to supporting students with different skills. The teaching methods used in the program are listed below*:

TEACHING METHODS*	LEARNING ACTIVITIES	MEANS
Course	Listening and interpretation	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Discussion Course	Listening and interpretation, observation/situation handling, critical thinking, question development	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Special Support / Structural Examples	Special skills planned beforehand
Playing a Role / Drama	Special skills planned beforehand	Standard classroom technologies, special equipment
Problem Solving	Special skills planned beforehand
Case Study	Special skills planned beforehand
Brainstorming	Listening and interpretation, observation/situation handling, critical thinking, question development, team work	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Small Group Discussion	Listening and interpretation, observation/situation handling, critical thinking, question development	Standard classroom technologies, multimedia devices, projector, computer, overhead projector
Presentation	Listening and interpretation, observation/situation handling	Real or virtual environment suitable for observation
Simulation	Listening and interpretation, observation/situation handling, informatics skills	Real or virtual environment suitable for observation
Seminar	Research – lifelong learning, writing, reading, informatics, listening and interpretation, management skills	Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment
Group Study	Research – lifelong learning, writing, reading, informatics, critical thinking, question development, management skills, team work
Field / Land Study	Observation / situation handling, research – lifelong learning, writing, reading
Laboratory	Observation/situation handling, informatics, management skills, team work	Special equipment
Homework	Research – lifelong learning, writing, reading, Informatics	Internet database, library database, e-mail
Oral Exam
Survey and Questionnaire Study	Research – lifelong learning, writing, reading
Panel	Listening and interpretation, observation/situation handling	Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment
Guest Speaker	Listening and interpretation, observation/situation handling	Standard classroom technologies, multimedia devices, projector, computer, overhead projector, special equipment
Student Club Activity / Projects	Observation/situation handling, critical thinking, question development, team work, research – lifelong learning, writing, reading, management skills, special skills planned beforehand

*One or more of the listed methods can be used depending on the specificity of the course.

Program Outcomes

1-Gather evidences for finding open problems, formulating conjectures and testing these conjectures
2-Demonstrate an advanced critical thinking ability
3-Display an ability of reading and learning mathematics independently
4-Display skills in making research and studying in some special areas of mathematics
5-Experiencing in applied mathematics and modeling
6-Demonstrate skills of effective writing and speaking in mathematics language
7-Build basic computer algorithms for mathematical computing
8-Display an understanding of the nature of proof in mathematics, and make clear and complete proofs
9-Solve basic problems by the use of standard mathematical techniques
10-Read, understand and use basic definitions, and obtain conclusions by these definitions

Curriculum

Yüksek Lisansda açılan dersler Doktora için de seçilebilir.

Course
Mathematics
2023-2024 Fall Semester

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-05	Doctoral Qualification		0	0	20
LÜ-FBE-03	Ph.D. Seminar		0	2	5
LÜ-FBE-01	Special Topics		8	0	10
LÜ-FBE-06	Thesis Proposal		0	0	20
Total ECTS:					55
2023-2024 Spring Term

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-05	Doctoral Qualification		0	0	20
LÜ-FBE-03	Ph.D. Seminar		0	2	5
LÜ-FBE-01	Special Topics		8	0	10
LÜ-FBE-06	Thesis Proposal		0	0	20
Total ECTS:					55
Total ECTS(Year):					110
Thesis
2023-2024 Fall Semester

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-01	Special Topics		8	0	10
LÜ TEZ	Thesis		0	0	20
Total ECTS:					30
2023-2024 Spring Term

Course Code	Course Name	Browse	T	A	ECTS
LÜ-FBE-01	Special Topics		8	0	10
LÜ TEZ	Thesis		0	0	20
Total ECTS:					30
Total ECTS(Year):					60

Matrix of Course - Program Outcomes

LÜ-FBE-05 Doctoral Qualification
#
	4	5	5	4	3	4	1	4	4	4
	4	5	5	4	3	4	1	4	4	4
	4	5	5	4	3	4	1	4	4	4
	4	5	5	4	3	4	1	4	4	4

LÜ-FBE-03 Ph.D. Seminar
#
	2	3	1	3	4	2	1	3	2	3
	2	3	1	3	4	2	0	3	2	3
	2	3	1	3	4	2	1	3	2	3

LÜ-FBE-06 Thesis Proposal
#
	0	0	0	0	0	0	0	0	0	0
	0	0	0	0	0	0	0	0	0	0
	0	0	0	0	0	0	0	0	0	0
	0	0	0	0	0	0	0	0	0	0

LÜ-FBE-05 Doctoral Qualification
#
	3	3	2	3	2	2	1	3	2	2
	3	3	2	3	2	2	1	3	2	2
	3	3	2	3	2	2	1	3	2	2
	3	3	2	3	2	2	1	3	2	2

LÜ-FBE-03 Ph.D. Seminar
#
	2	3	1	3	4	2	1	3	2	3
	2	3	1	3	4	2	0	3	2	3
	2	3	1	3	4	2	1	3	2	3

LÜ-FBE-06 Thesis Proposal
#
	5	5	5	5	5	5	5	5	5	5
	5	5	5	5	5	5	5	5	5	5
	5	5	5	5	5	5	5	5	5	5
	5	5	5	5	5	5	5	5	5	5

LÜ TEZ Thesis
#
	2	2	0	2	0	0	0	2	0	0
	2	3	2	0	0	0	0	0	0	0
	2	3	0	0	2	4	0	0	2	0
	2	2	0	0	0	3	0	0	2	0

LÜ TEZ Thesis
#
	3	4	4	3	4	2	2	3	4	3
	3	4	4	3	4	2	2	3	4	3
	3	4	4	3	4	2	2	3	4	3
	3	4	4	3	4	2	2	3	4	3