![]() The elective courses are chosen from the graduate courses offered by the Program or the Institute, and are subject to the approval of the student's advisor. The total number of credits includes 9 credits of required courses. program in Mathematics comprises 22 credits or more credits of course work (minimum 7 courses), graduate seminar and a Master's thesis. ![]() ** “Elective Course”s must be either MATH courses or courses from PHYS, ECON, IE, EE, CMPE, subject to the approval of Mathematics Department. * ECTS and credit hours specified are the minimum required values. MASTER OF SCIENCE PROGRAM IN MATHEMATICS First Semester Professors : Talin Budak, Olcay Coşkun, Sadık Değer, Ahmet Feyzioğlu, Burak Gürel, Nilgün Işık, İlhan İkeda, Ferit Öztürk, Betül Tanbay, Yalçın YıldırımĪssociate Professor : Müge Taşkın Aydın, Alp Bassa, Özlem Beyarslan, Arzu Boysal, Craig Charles Van Coevering, Fatih Ecevit, Ayhan Günaydın, Çağrı Karakurt, Ekin Özman Options: Please refer to Boğaziçi University Graduate Catalogue for complete description of the courses listed below:ĬE 505 Applied Stochastic Analysis and ModelingĬE 557 Matrix Methods of Structural AnalysisĬhE 511 Polymer Processing Principles and ModelingĬhE 518 Conformational Statistics and Dynamics of PolymersĬhE 555 Modeling and Analysis of Chemical Engineering Systems IĬhE 556 Modeling and Analysis of Chemical Engineering Systems IIĬhE 578 Dynamic Optimization of Chemical ProcessesĬhem 522 Advanced Computational ChemistryĬmpE 530 Mathematical Fundamentals of Artificial IntelligenceĬmpE 540 Principles of Artificial IntelligenceĮSC 504 Comp.Associate Department Heads: Özlem Beyarslan, Çağrı Karakurt The introduction of students to topics of interest to computational scientists and engineers through seminars offered by faculty, guest speakers and graduate students. 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. Directing the students? work in internalizing the knowledge about the programs and methods used their area of research. Open source scientific applications such as linear algebra and matrix tools, statistical packages, symbolic programming tools, program libraries.Ĭomputational research carried out together with a faculty member in the area Computational Science and Engineering. Case studies requiring a choice among alternative algorithms, evaluation of errors and error propagation in situations requiring the successive application of different algorithms. Recent advances in computing for power users, RISC and Supercomputer structures, Vector and parallel computing, distributed applications. Use of workstations for the solution of interdisciplinary problems using a case study based approach. ![]() N-dimensional vector space, linear algebra, Fourier series and integrals, Laplace equation, principles of wave and propagation equations. Ordinary differential equations, complex analysis, special functions (Bessel, Legendre). PHYS 522 Mathematical Methods of Physics IIĬSE 503 Mathematics for Science and Engineering (3+0+0) 3 ![]() PHYS 521 Mathematical Methods of Physics I ME 502 Advanced Engineering Mathematics II ME 501 Advanced Engineering Mathematics I CE 503 Mathematical Methods in Engineering ![]()
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