Second Cycle Programmes    (Master's Degree)
Master (with thesis) - Institute for Graduate Studies in Pure and Applied Sciences - Mathematics - Applied Mathematics
General Description  |  Key Learning Outcomes  |  Course Structure Diagram with Credits
General Description ^
History
The department started education in the fall semester of 1983-1984 academic year and Assoc. Prof.Dr. Yusuf Avcı was appointed chair of program.
Qualification Awarded
M. Sc. degree in Mathematics (with thesis).
Specific Admission Requirements
Applicants; must have a B. Sc. degree and must take at least 60 points out of 100 from the Academic Personnel and Graduate Education Entrance Examination(ALES) organized by Higher Education Council Student Selection and Placement Center(ÖSYM). Please check the website of the institute for further details and recent changes. http://fbe.marmara.edu.tr/
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
To apply this program the student should graduate from the departments related to mathematics. If the courses in their undergraduate education are unsatisfactory, then they must take extra undergraduate courses
Qualification Requirements and Regulations
http://llp.marmara.edu.tr/regulations.pdf
Profile of The Programme
Program is composed of two parts: Lectures and Master Thesis. Lectures include detailed topics related to Applied Mathematics: Some of them are courses related to Numerical Analysis, some fo them are courses related to Differential Equations, some of them are courses related to Statistics The student prepare thesis one of these subjects.
Occupational Profiles of Graduates With Examples
Our graduates have found positions as research assistants in distinguished universities of Turkey, all over the world. Moreover they can easily find work in the financial sector, civil service and teaching as well as in computer science and programming.
Access to Further Studies
M.Sc.graduates can apply to Ph.D. programs of Mathematics or other appropriate disciplines. The acceptance of the applicants are ruled by educational institutions.
Examination Regulations, Assessment and Grading
The passing achievement grade of each course should be minimum 65/100. In the calculation of final achievement grade of course, raitos of the grades obtained from the midterm (s) and final examinations are taken as 50% of each. The grade (S) and grade (U) are used for the Seminar Courrse and Master's Thesis. The grade (S) is given to students who are successful and the grade (U) is given to students who are not successful. The student's standing is calculated in the forms of a GPA and a CGPA and anounced at the end of each semester by the Registirar's Office. The total score obtained by the student in a particular education period is calculated by the summing up individual scores which are obtained via the multiplicaiton of the final achievement grade by the credit of the course. In order to obtain the GPA for any given semester, the total score earned in that semester is divided by the sum of credits. The CGPA is calculated by taking into account all the courses taken by a student starting from her/his registration.
Graduation Requirements
Students must successfully complete at least 21 credit hours of lessons and non-credit Seminar and also prepare and successfully defend a M. Sc. thesis. 6 hours of the 21 credit hours must be taken from the core lessons. Students must give a seminar about their thesis. Also every semester during the thesis studies, students must pass the non-credit theoretical courses.
Mode of Study (Full-Time, Part-Time, E-Learning )
Full-Time
Address, Programme Director or Equivalent
Prof. Dr. Ahmet DERNEK (Head of the Department). Marmara Üniversitesi Göztepe Kampüsü Fen-Edebiyat Fakültesi Matematik Bölümü 34722 Göztepe-İstanbul. Tel: 00 90 216 346 45 53 / 1213. e-mail: adernek@marmara.edu.tr
Facilities
There are 3 Professor, 3 Associated Proffessor and 4 Assistant Professor in Theoretical Mathematics Program. The students can reach required books and papers by the help of Central Library.
Key Learning Outcomes ^
1 To develop knowledge, skills and competencies of undergraduate program both theoreticaly and practicaly and to gain the ability to relate current information.
2 To benefit from scientific and mathematical methods to be capable of fixing problems and solution-oriented research.
3 To achieve the necessary understanding of mathematical terminology in the field of information, resource, research ability, the ability to use databases and information technology.
4 To transfer analytical thinking skills related to the field to the applied field and have ability to present the subject oral or written.
5 To take responsibility and to work in a team with the scientific knowledge of applied mathematics.
6 Exchange of information between different disciplines by doing group work and ability to work actively in projects.
7 To use computers and related software packages in order to adapt to developing technology.
8 To produce original and innovative information and to apply other disciplines.
9 To understand the social structure of the country and to have foresight about it.
10 To develop strategy and evaluate the results using the expertise gained in the field.
Course Structure Diagram with Credits ^
T : Theoretical P: Practice
No Course Unit Code Course Unit Title Type of Course T P ECTS
1 MAT-S1..4-YL Elective - 1..4 Elective 12 0 32
Total 12 0 32
No Course Unit Code Course Unit Title Type of Course T P ECTS
1 MAT700 Seminar Compulsory 0 2 4
2 MAT-S5,6,7-YL Elective - 5-6-7 Elective 9 0 24
Total 9 2 28
No Course Unit Code Course Unit Title Type of Course T P ECTS
1 Thesis Compulsory 60
Elective
1 . Semester > MAT-S1..4-YL Elective - 1..4
No Course Unit Code Course Unit Title Type of Course T P ECTS
1 IST751 İleri İstatistik Teorisi I Compulsory 3 0 8
2 IST752 Advanced Statistical Theory II Compulsory 3 0 8
3 IST754 Lineer İstatistik Modeller Compulsory 3 0 8
4 IST757 Advanced Regression Analysis I Compulsory 3 0 8
5 IST758 Advanced Regression Analysis II Compulsory 3 0 8
6 IST759 Applied Statistics I Compulsory 3 0 8
7 IST760 Applied Statistics II Compulsory 3 0 8
8 IST761 İstatistik Uygulamalı Matris Teorisi Compulsory 3 0 8
9 IST762 Multivariate Statistical Analysis Compulsory 3 0 8
10 IST773 Diagnostik Regresyon Analizinin Grafiksel Yöntemleri Compulsory 3 0 8
11 IST774 Lineer Regresyonda Duyarlılık Analizi Compulsory 3 0 8
12 IST853 Bayesgil Çıkarım ve Parametre Kestirimi I Compulsory 3 0 8
13 IST854 Bayesgil Çıkarım ve Parametre Kestirimi II Compulsory 3 0 8
14 IST855 Uygulamalı Regresyon Analizi Compulsory 3 0 8
15 MAT701 Abstract Spaces Compulsory 3 0 8
16 MAT712 Ayrıcalıklı Lie Cebirleri Compulsory 3 0 8
17 MAT727 Özel Tanımlı Fonksiyonlar Compulsory 3 0 8
18 MAT733 İntegral Dönüşümleri I Compulsory 3 0 8
19 MAT734 İntegral Dönüşümleri II Compulsory 3 0 8
20 MAT740 Integral Equations Compulsory 3 0 8
21 MAT753 Selected Topics from Partial Differantial Equation I Compulsory 3 0 8
22 MAT754 Kısmi Türevli Diferansiyel Denklemlerden Seçme Konular II Compulsory 3 0 8
23 MAT755 İleri Nümerik Analiz I Compulsory 3 0 8
24 MAT756 İleri Nümerik Analiz II Compulsory 3 0 8
25 MAT761 Gençleştirilmiş Lineer Modeller Compulsory 3 0 8
26 MAT762 Hesaplamalı Lineer Cebir Compulsory 3 0 8
27 MAT763 Kısmi Türevli Diferansiyel Denklemlerin Sayısal Çözümleri Compulsory 3 0 8
28 MAT765 Lineer Olmayan Diferansiyel Denklemlerin Sayısal Çözümleri I Compulsory 3 0 8
29 MAT766 Lineer Olmayan Diferansiyel Denklemlerin Sayısal Çözümleri II Compulsory 3 0 8
30 MAT767 Lineer Sınır Değer Problemleri I Compulsory 3 0 8
31 MAT768 Lineer Sınır Değer Problemleri II Compulsory 3 0 8
32 MAT769 Bilgisayar Uygulamalı Matematiksel Yöntemler I Compulsory 3 0 8
33 MAT770 Bilgisayar Uygulamalı Matematiksel Yöntemler II Compulsory 3 0 8
34 MAT771 Varyasyonlar Hesabı Compulsory 3 0 8
35 MAT772 Ters Problemler ve Uygulamalar Compulsory 3 0 8
36 MAT773 Sayısal Yaklaştırım Teorisi I Compulsory 3 0 8
37 MAT774 Sayısal Yaklaştırım Teorisi II Compulsory 3 0 8
38 MAT775 Computer Algebra and Symbolic Computation with Mathematica Compulsory 3 0 8
39 MAT776 Advanced Probability Theory Compulsory 3 0 8
40 MAT777 Stokastik Modelleme Compulsory 3 0 8
41 MAT778 Yaşam Çözümlemesi Compulsory 3 0 8
42 MAT779 Lojistik Regrasyon Compulsory 3 0 8
43 MAT780 Kategorik Veri Analizi Compulsory 3 0 8
44 MAT851 Lineer Olmayan Modeller Compulsory 3 0 8
45 MAT856 İleri Nümerik Analiz III Compulsory 3 0 8
46 MAT858 Ters Problemlerin Regülerizasyonu Compulsory 3 0 8
47 MAT859 İleri Programlama Teknikleri Compulsory 3 0 8
48 MAT860 Nonlineer Dalga Teorisinde Asimptotik Yöntemler Compulsory 3 0 8
2 . Semester > MAT-S5,6,7-YL Elective - 5-6-7
No Course Unit Code Course Unit Title Type of Course T P ECTS
1 IST751 İleri İstatistik Teorisi I Compulsory 3 0 8
2 IST752 Advanced Statistical Theory II Compulsory 3 0 8
3 IST754 Lineer İstatistik Modeller Compulsory 3 0 8
4 IST757 Advanced Regression Analysis I Compulsory 3 0 8
5 IST758 Advanced Regression Analysis II Compulsory 3 0 8
6 IST759 Applied Statistics I Compulsory 3 0 8
7 IST760 Applied Statistics II Compulsory 3 0 8
8 IST761 İstatistik Uygulamalı Matris Teorisi Compulsory 3 0 8
9 IST762 Multivariate Statistical Analysis Compulsory 3 0 8
10 IST773 Diagnostik Regresyon Analizinin Grafiksel Yöntemleri Compulsory 3 0 8
11 IST774 Lineer Regresyonda Duyarlılık Analizi Compulsory 3 0 8
12 IST853 Bayesgil Çıkarım ve Parametre Kestirimi I Compulsory 3 0 8
13 IST854 Bayesgil Çıkarım ve Parametre Kestirimi II Compulsory 3 0 8
14 IST855 Uygulamalı Regresyon Analizi Compulsory 3 0 8
15 MAT701 Abstract Spaces Compulsory 3 0 8
16 MAT712 Ayrıcalıklı Lie Cebirleri Compulsory 3 0 8
17 MAT727 Özel Tanımlı Fonksiyonlar Compulsory 3 0 8
18 MAT733 İntegral Dönüşümleri I Compulsory 3 0 8
19 MAT734 İntegral Dönüşümleri II Compulsory 3 0 8
20 MAT740 Integral Equations Compulsory 3 0 8
21 MAT753 Selected Topics from Partial Differantial Equation I Compulsory 3 0 8
22 MAT754 Kısmi Türevli Diferansiyel Denklemlerden Seçme Konular II Compulsory 3 0 8
23 MAT755 İleri Nümerik Analiz I Compulsory 3 0 8
24 MAT756 İleri Nümerik Analiz II Compulsory 3 0 8
25 MAT761 Gençleştirilmiş Lineer Modeller Compulsory 3 0 8
26 MAT762 Hesaplamalı Lineer Cebir Compulsory 3 0 8
27 MAT763 Kısmi Türevli Diferansiyel Denklemlerin Sayısal Çözümleri Compulsory 3 0 8
28 MAT765 Lineer Olmayan Diferansiyel Denklemlerin Sayısal Çözümleri I Compulsory 3 0 8
29 MAT766 Lineer Olmayan Diferansiyel Denklemlerin Sayısal Çözümleri II Compulsory 3 0 8
30 MAT767 Lineer Sınır Değer Problemleri I Compulsory 3 0 8
31 MAT768 Lineer Sınır Değer Problemleri II Compulsory 3 0 8
32 MAT769 Bilgisayar Uygulamalı Matematiksel Yöntemler I Compulsory 3 0 8
33 MAT770 Bilgisayar Uygulamalı Matematiksel Yöntemler II Compulsory 3 0 8
34 MAT771 Varyasyonlar Hesabı Compulsory 3 0 8
35 MAT772 Ters Problemler ve Uygulamalar Compulsory 3 0 8
36 MAT773 Sayısal Yaklaştırım Teorisi I Compulsory 3 0 8
37 MAT774 Sayısal Yaklaştırım Teorisi II Compulsory 3 0 8
38 MAT775 Computer Algebra and Symbolic Computation with Mathematica Compulsory 3 0 8
39 MAT776 Advanced Probability Theory Compulsory 3 0 8
40 MAT777 Stokastik Modelleme Compulsory 3 0 8
41 MAT778 Yaşam Çözümlemesi Compulsory 3 0 8
42 MAT779 Lojistik Regrasyon Compulsory 3 0 8
43 MAT780 Kategorik Veri Analizi Compulsory 3 0 8
44 MAT851 Lineer Olmayan Modeller Compulsory 3 0 8
45 MAT856 İleri Nümerik Analiz III Compulsory 3 0 8
46 MAT858 Ters Problemlerin Regülerizasyonu Compulsory 3 0 8
47 MAT859 İleri Programlama Teknikleri Compulsory 3 0 8
48 MAT860 Nonlineer Dalga Teorisinde Asimptotik Yöntemler Compulsory 3 0 8

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