General Description
PhD program in Teacher Training in Mathematics, established in the 2008-2009 academic year, began to be carried by Uludağ University, Institute of Educational Sciences in 2012-2013. The program prepares elementary mathematics teachers to address critical issues in mathematics education by developing analytical perspectives for research, engaging in reflective teaching, and developing mathematical knowledge with the prominent academicians of the department.
PhD of Mathematics Teaching
Third Cycle
4
Specific Admission Requirements
The Program requires:
1-A masters degree
2-Relevant score of ALES (Graduate Study Matriculation Exam)
3-Relevant score of a foreign language.
5
Specific arrangements for the recognition of prior learning
The provisions in “Regulation on Transfer among Associate and Undergraduate Degree Programs, Double Major, and Subspecialty and the Principals of Credit Transfer among Institutions in Higher Education Institutions” are applied.
6
Qualification Requirements and Regulations
One receives PhD Degree in GC upon successful completion of a 24 credit course work of theory, seminar, area specialty and dissertation (equal to 240 ECTS in total), with a GPA of 75 out of 100 (CB), and passing the PhD qualifying exam and proposing and successfully defending a dissertation in front of a jury.
7
Profile of The Programme
The aim of the Mathematics Teaching Department is to train the individuals who have knowledge, skills, attitudes and experience to do qualified research, teaching and education; who have critical thinking skills and self confidence and who have competencies required to follow the innovations related to the field within the national and international framework.
8
Key Learning Outcomes & TYYÇ & TAY Relationship
8.1
|
1.
To behave according to democracy, human rights, social, scientific, cultural values and occupational ethic principles.
|
|
2.
To be able to express his/her own thoughts by using the language of math and communicate.
|
|
3.
To be able to obtain proof by using reasoning and mathematical proof methods.
|
|
4.
To relate the knowledge of math to issues in daily life and problems in other areas.
|
|
5.
To share their knowledge and findings in the field of math in the form of oral or written presentations in national and international conferences.
|
|
6.
To be able to use the information technology, related software and internet sources in order to improve the math learning quality.
|
|
7.
To know and examine the process and the skills of the elementary school students’ mathematical thought.
|
|
8.
To establish and analyze the mathematical models of the problems in different areas.
|
|
9.
To know and analyze the basic concepts of the algebra, analysis and geometry.
|
|
10.
To know different learning styles and provide a related learning environment according to the students’ needs.
|
|
11.
To be able to practice and provide solutions to the problems which require expertise in the field of math by using the quantitative and qualitative research methods, to work independently and to take responsibility.
|
|
12.
To have a competence in written and oral academic skills to make presentations in academic environment.
|
|
13.
To provide a learning environment according to the math proficiency and needs of their secondary school students and to prepare methods, materials and activities accordingly.
|
|
14.
To be aware of pleasure of establishing knowledge of math and to provide this pleasure to their future students.
|
|
15.
To understand and relate the mathematical concepts and generalizations.
|
8.2
TYYÇ - Key Learning Outcomes Relationship
8.3
TYYÇ - TAY Key Learning Outcomes Relationship
9
Occupational Profiles of Graduates With Examples
Graduates of the program are employed as expert teachers,head teachers or advisors in public or private schools or institutions.
10
Access to Further Studies
May apply to post doctorate programmes.
11
Examination Regulations, Assessment and Grading
Students are required to register to courses and attend at least 70 % of theoretical and 80 % of practical courses in order to be eligible for taking the final exams. Students take final exams for each course at the end of the semester. Scores gained via evaluative methods such as projects, laboratory exams, quizzes etc. can count for midterm exam scores. All exams are evaluated over 100 points. A score of 75 (CB) is required for the final exams. AA, BA, BB, CB grades are regarded as successful.
12
Graduation Requirements
Successful completion of a course work of must and elective theory, seminar, area specialty and dissertation (equal to 240 ECTS in total), with a GPA of 75 over 100 (CB), and passing the PhD proficiency exam and proposing and successfully defending a dissertation in front of a jury.
Full-Time
14
Address and Contact Details
Bilim Dalı Başkanı
Prof. Dr. Rıdvan Ezentaş
Telefon: +90 (224) 294 2287
rezentas@uludag.edu.tr
Bologna Koordinatörü
Doç.Dr.Menekşe Seden TAPAN BROUTIN
Telefon:+90 224 2955021
Belgegeçer: +90 224 294 21 99
tapan@uludag.edu.tr
In the Elementary Education, Teacher Training in Mathematics Department, the courses and facilities are carried out in a technically well-equipped learning environment with classrooms and labs. For the academic staff, several computers, printers, smart boards, etc. are ready to be used for education and academic studies.
The University Library is quite rich in periodicals and online data base sources. Our students effectively use both the Uludag University Library and the Education Faculty Library.
| 1. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6101 |
QUALITATIVE RESEARCH DESIGNS |
Compulsory |
3 |
0 |
0 |
8 |
| MAT6103 |
ACTUAL RESEARCH IN MATHEMATICS EDUCATION |
Compulsory |
3 |
0 |
0 |
7 |
| MAT6175 |
DISSERTATION SUPERVISION I |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
|
|
|
|
|
14 |
| Total |
|
30 |
| 2. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6102 |
SCIENTIFIC RESEARCH METHODS AND RESEARCH ETHICS |
Compulsory |
3 |
0 |
0 |
6 |
| MAT6104 |
ADVANCED STATISTICAL ANALYSIS |
Compulsory |
3 |
0 |
0 |
6 |
| MAT6172 |
SEMINAR |
Compulsory |
0 |
2 |
0 |
3 |
| MAT6176 |
DISSERTATION SUPERVISION II |
Compulsory |
0 |
1 |
0 |
1 |
|
Click to choose optional courses.
|
|
|
|
|
14 |
| Total |
|
30 |
| 3. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6183 |
PHD SPECIALISED FIELD COURSE III |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6191 |
THESIS CONSULTANTS |
Compulsory |
0 |
1 |
0 |
10 |
| YET6177 |
PROFICIENCY EXAM |
Compulsory |
0 |
0 |
0 |
15 |
| Total |
|
30 |
| 4. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6184 |
PHD SPECIALISED FIELD COURSE IV |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6192 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 5. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6185 |
PHD SPECIALISED FIELD COURSE V |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6193 |
DISSERTATION SUPERVISION V |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 6. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6186 |
PHD SPECIALISED FIELD COURSE VI |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6194 |
MA THESIS VI |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 7. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6187 |
PHD SPECIALISED FIELD COURSE VII |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6197 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 8. Semester |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6188 |
PHD SPECIALISED FIELD COURSE VIII |
Compulsory |
4 |
0 |
0 |
5 |
| MAT6198 |
DISSERTATION SUPERVISION |
Compulsory |
0 |
1 |
0 |
25 |
| Total |
|
30 |
| 1. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6105 |
DESIGNING COMPUTER ASSISTED MATH EDUCATION |
Optional |
2 |
0 |
0 |
3 |
| MAT6107 |
RESEARCH DESIGN IN MATH EDUCATION |
Optional |
2 |
0 |
0 |
3 |
| MAT6113 |
MATHEMATICAL MODELLING |
Optional |
2 |
0 |
0 |
3 |
| MAT6115 |
BASIC MATHEMATICAL CONCEPTS I |
Optional |
2 |
0 |
0 |
3 |
| MAT6117 |
LITERATURE REWIEW AND ACADEMIC WRITING I |
Optional |
2 |
0 |
0 |
3 |
| MAT6119 |
EXAMS AND TECHNICS OF PREPARING EXAMS I |
Optional |
2 |
0 |
0 |
3 |
| MAT6121 |
HISTORICAL DEVELOPMENT AND PHILOSOPHY OF MATHEMATICS EDUCATION |
Optional |
2 |
0 |
0 |
3 |
| LS627 |
ADVANCED ASSESSMENT IN LEARNING SCIENCE |
Optional |
2 |
0 |
0 |
3 |
| MAT6181 |
PHD SPECIALISED FIELD COURSE I |
Optional |
4 |
0 |
0 |
5 |
| 2. Semester Optional Courses |
| Course Code |
Course Title |
Type of Course |
T1 |
U2 |
L3 |
ECTS |
| MAT6106 |
DESIGN AND PREPARATION OF MATHEMATICS EDUCATION COURSE MATERIAL |
Optional |
2 |
0 |
0 |
4 |
| MAT6110 |
CURRICULUM DEVELOPMENT IN PRIMARY MATH EDUCATION |
Optional |
2 |
0 |
0 |
4 |
| MAT6114 |
ALGORITHMS |
Optional |
2 |
0 |
0 |
4 |
| MAT6116 |
THEORY OF INSTRUMENTAL AND DOKUMENTAL |
Optional |
2 |
0 |
0 |
4 |
| MAT6118 |
BASIC MATHEMATICAL CONCEPTS II |
Optional |
2 |
0 |
0 |
4 |
| MAT6120 |
LITERATURE REWIEW AND ACADEMIC WRITING II |
Optional |
2 |
0 |
0 |
4 |
| MAT6122 |
EXAMS AND TECHNICS OF PREPARING EXAMS II |
Optional |
2 |
0 |
0 |
4 |
| MAT6126 |
EDUCATIONAL DESIGN IN MATHEMATICS EDUCATION |
Optional |
2 |
0 |
0 |
4 |
| MAT6182 |
PHD SPECIALISED FIELD COURSE II |
Optional |
4 |
0 |
0 |
2 |
| MAT6182 |
PHD SPECIALISED FIELD COURSE II |
Optional |
4 |
0 |
0 |
5 |
