Web Site of the Department 

Head of Program : Enes Seyfullah Kotil

Professors : Necati Aras, Kunt Atalık, Cem Avcı, Levent Kurnaz, Can Özturan, Şebnem Özüpek, Kutlu Ülgen, Arda Yurdakul

Associate Professors : Burak Alakent, Bertan Badur, Sami And Kılıç, Wolfgang Hormann, Arkadaş Özakın, Elif Özkırımlı Ölmez 

Assistant Professors : Mustafa Gökçe Baydoğan, Ümit Işlak, Betül Uralcan,

Computational Science and Engineering (CSE) is an interdisciplinary area that draws upon the traditionally distinct academic departments of the sciences or engineering, broadly interpreted. It is more than any of its component fields, and traditionally does not fit within the subject areas, conference and journal scopes, or reward structures of computer science, mathematics, or any of science or engineering departments alone. An example of a research endeavor that would be considered CSE is the development of a large-scale computer simulation code to investigate a scientific question that goes beyond the use of canned (commercial or freely available) software but requires familiarity with other aspects of the simulation.

The Computational Science and Engineering Master of Science (M.S.) program is an interdisciplinary program created to foster computationally intensive research and graduate education in the sciences and engineering. The role of the individual scientist trained in a specific discipline is now being replaced by a scientific team that brings individuals with different backgrounds and expertise together in a multidisciplinary approach. Our aim is to produce a professional in scientific computing who will be able to work as part of an interdisciplinary research team. A recipient of this degree will be well trained in state-of-the-art numerical methods, use of software development tools and in the application of these techniques to at least one scientific or engineering area. The graduates of this program will be ideal candidates for Ph.D. programs at our institution and elsewhere.

The Computational Science and Engineering Master of Science (M.S.) program comprises eight courses corresponding to a minimum of 24 credits, two non-credit graduate seminars and a Master's thesis. This program is open to the graduates of engineering and science majors, who would like to get a graduate degree in the interdisciplinary area of Computational Science and Engineering.

Students enrolled in the program are required to take two courses in the area of computation and modeling and three courses in their specialization area. The computation and modeling elective courses are determined by the programs in the Institute for Graduate Studies in Sciences and Engineering at the beginning of each academic year. The specialization area elective courses are taken with the approval of the advisor.

Descriptions of relevant courses are to be found in the respective sections of the related departmental programs.

In addition to the courses listed in these programs Special Studies and Special Topics courses related with the interdisciplinary field of Computational Science and Engineering as well as courses with similar contents may be substituted, subject to the approval of the advisor, for any course of the respective specialization fields.

MASTER OF SCIENCE PROGRAM

Total: 24 Credits.

** Math. or Applied Math Elective

CSE     503      Math. For Science & Engineering
CE       503      Mathematical Methods in Engineering
Math    531       Real Analysis
Math    541      Probability Theory
Math    551      Partial Differential Equations
Math    545      Mathematics of Finance
ME      501      Advanced Engineering Mathematics I
ME      502      Advanced Engineering Mathematics II
PHYS  521      Mathematical Methods of Physics I
PHYS  522      Mathematical Methods of Physics II

COURSE DESCRIPTIONS

CSE 503 Mathematics for Science and Engineering (3+0+0) 3 ETCS 7
(Bilim ve Mühendislik için Matematik)
Ordinary differential equations, complex analysis, special functions (Bessel, Legendre). N-dimensional vector space, linear algebra, Fourier series and integrals, Laplace equation, principles of wave and propagation equations.

CSE 551 Computational Methods  (3+0+0) 3 ETCS 8
(Hesaplama Yöntemleri)        
Use of workstations for the solution of interdisciplinary problems using a case study based approach. Recent advances in computing for power users, RISC and Supercomputer structures, Vector and parallel computing, distributed applications. Case studies requiring a choice among alternative algorithms, evaluation of errors and error propagation in situations requiring the successive application of different algorithms. Open source scientific applications such as linear algebra and matrix tools, statistical packages, symbolic programming tools, program libraries.

CSE 552 Computational Project (1+0+4) 3 ETCS 8
(Hesaplamalı Proje)                   
Computational research carried out together with a faculty member in the area Computational Science and Engineering. Directing the students' work in internalizing the knowledge about the programs and methods used their area of research.

CSE 578 Graduate Seminar (0+1+0) 0 Pass/Fail   ETCS 1
(Yüksek Lisans Semineri)
The widening of students' perspectives and awareness of topics of interest to computational scientists and engineers through seminars offered by faculty, guest speakers and graduate students.

CSE 579 Graduate Seminar (0+1+0) 0 Pass/Fail ETCS 1
(Yüksek Lisans Semineri)
Seminars offered by faculty, guest speakers and/or graduate students designed to widen students' perspectives on specific topics of interest and to expand their range of scientific research techniques and publication ethics.

CSE 580-599 Special Topics (3+0+0) 3 ECTS 8
(Özel Konular) 
Special topics of current interest in computational science and engineering. The most recent advances in the field of computational science and engineering.

CSE 690 M.S. Thesis ETCS 60
(Master Tezi)