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GRADUATE
PROGRAMS IN COMPUTATIONAL SCIENCE AND ENGINEERING
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Site of the Department
Head of Program: Levent Kurnaz
Professors: Viktorya Aviyente, Alp Eden, Levent
Kurnaz,
Associate Professors: Hasan Bedir, Osman Borekci,
Can Ozturan
Assistant Professors: Kunt Atalik, Muhittin Mungan,
Emre Otay, Sebnem Ozupek
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 a 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 PhD 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.
M.S. PROGRAM
| First Semester |
Second Semester |
| CSE 503 |
Math. for Sci.&Eng. |
3
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-- --
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Comp./ Modeling Elect. |
3
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| CSE 551 |
Com. for Comput. Sci. and
Eng. |
3
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-- --
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Area Elect. |
3
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-- --
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Comp./Modeling Elect. |
3
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-- --
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Area Elect. |
3
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|
-- --
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Area Elect. |
3
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CSE 552 |
Computational Project |
3
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| CSE 579 |
Graduate Seminar |
0
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CSE 578 |
Graduate Seminar |
0
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12
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12
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Total: 24 Credits
COURSE DESCRIPTIONS
CSE 503 Mathematics for Science and Engineering (3+0+0) 3
(Bilim ve Muhendislik icin 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 (Hesaplama Yontemleri)
(3+0+0) 3
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 (Hesaplamali Proje)
(1+0+4) 3
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 (Yuksek Lisans Semineri) (0+1+0) 0 P/F
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 (Yuksek Lisans Semineri)
(0+1+0) 0 P/F
The introduction of students to topics of interest to computational scientists
and engineers through seminars offered by faculty, guest speakers and
graduate students.
CSE 690 M.S. Thesis (Master Tezi)
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