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Computational Sciences and Engineering – (Ph.D.)
Koc University
Graduate School of Sciences & Engineering (GSSE)| Application Deadline: | Early: April 15; Regular: June 17 | ||
| Annual Tuition Fee: | Free - | ||
| Location: | Istanbul / Turkey / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | September |
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| Languages: | English | ||
Location of Koc University
Graduate education in computational science and engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering . In this program graduate students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenges heavily depend on computational modeling and problem solving. Because of the availability of powerful and inexpensive computers model-based computational experimentation is now a standard approach to analysis and design of complex systems where real experiments can be expensive or infeasible. Graduates of the CMSE Program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering. Individuals with B.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply for graduate study in the CMSE Program.
Research areas of interest
* Computational Biology & Bioinformatics
Computational Chemistry
Computational Physics
Molecular Dynamics and Simulation
Parallel and High Performance Computing
Computational Fluid Dynamics
Dynamical and Stochastic Systems
Quantum Mechanics of Many Body Systems
Electronic Design Automation
Numerical Methods
Simulation of Material Synthesis
Structural Dynamics
Biomedical Modeling and Simulation
Virtual Environments
Contents
Required core courses (3 credit each):
* CMSE 501 Introduction to Computational Science
* MATH 503 Applied Mathematics
* MATH 504 Numerical Methods I
* MATH 506 Numerical Methods II
Elective courses (3 credit each):
* ChBi 503 Thermodynamics
* ChBi 505 Polymer Engineering
* ChBi 506 Bioinformatics
* ChBi 507 Advanced Mass transfer
* ChBi 516 Biotechnology
* CHEM 420 Quantum Chemistry
* CMSE 520 Biomolecular Structure, Function and Dynamics
* CMSE 580 Selected Topics in Computational Science and Engineering
* ECOE 501 Random Processes
* ECOE 505 Linear Systems and Estimation Theory
* ECOE 508 Computer Vision and Pattern Recognition
* ECOE 510 Computer Graphics
* ECOE 515 Distributed Computing Systems
* ECOE 518 Numerical Analysis of Circuits and Systems
* ECOE 529 Parallel Computing
* ECOE 554 Machine Learning
* ECOE 556 Algorithms and Computational Complexity
* ECOE 570 Bioinformatics and Algorithms in Computational Biology
* ENGR 500 Applied Optimal Control
* INDR 501 Optimization Models and Algorithms
* INDR 520 Network Models and Optimization
* INDR 551 Advanced Optimization Methods
* INDR 553 Advanced Stochastic Processes
* INDR 564 Dynamic Programming
* INDR 568 Heuristic Methods
* MASE 503 Thermodynamics & Kinetics
* MASE 538 Intermolecular and Surface Forces
* MASE 540 Surface & Interface Properties of Materials
* MASE 542 Biomaterials
* MATH 545 Mathematics of Finance
* MATH 551 Partial Differential Equations
* MATH 552 Partial Differential Equations II
* MECH 521 Advanced Fluid Dynamics
* MECH 522 Computational Fluid Dynamics and Heat Transfer
* MECH 534 Computer Based Simulation and Modeling
* MECH 552 Introduction to Biomechanics
* PHYS 408 Optoelectronics
* PHYS 509 Condensed Matter Physics I
* PHYS 510 Condensed Matter Physics II
* PHYS 521 Photonics and Lasers
Courses are selected by the students from the above list and from other courses not listed here in accordance with their areas of specialization and subject to the approval of their advisors. In addition, each student has to take a seminar course, CMSE 590 Seminar. Students also register for the thesis course.
* CMSE 590 Seminar
* CMSE 596 PhD Thesis
Students who have TA assignments must take TEAC 500: Teaching Experience during the semesters of their assignments. Students must also take ENGL 500: Graduate Writing course.
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Requirements
Students can apply to the Ph.D. programs with a B.S. or M.S. degree. The Ph.D. degree requires successful completion of 14 courses beyond the B.S. degree or 7 courses beyond the M.S. degree. All students must pass the Ph.D. Qualifying Examination in the first year after they have been admitted to the Ph.D. program. Students are encouraged to begin research early. Students who have passed the Ph.D. qualifying examination are assisted in matters pertaining to their thesis research by a faculty thesis advisory committee. The research advisor serves as the chair of this committee. The committee meets with the student at least once each semester. Ph.D. students must submit a satisfactory written Ph.D. thesis proposal in their second year of study. At the completion of the Ph.D. research, the students must submit a written Thesis and pass an oral defense to complete the degree requirements.
TOEFL Requirement (for those whose native language is not English)
* New Internet Based: Minimum Score 80
* Computer Based: Minimum Score 213
* Paper Based: Minimum Score 550
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| TOEFL Paper-based: | 550 |
| TOEFL Computer-based: | 213 |
| TOEFL Internet-based: | 80 |
Accreditation
* One of 229 academic institutions worldwide to adopt the Principles for Responsible Management Education (PRME), as determined by a group of scholars at the UN Global Compact Leaders Summit in July 2007.
* College of Administrative Sciences and Economics and Graduate School of Business accredited by the European Quality Improvement System (EQUIS), making Koç University the first and only Turkish university with EQUIS accreditation and one of the select group of 115 EQUIS accredited institutions in 33 countries worldwide.
* First Turkish university to be recognized in the Financial Times ranking of top international universities; Executive MBA program ranked 57th in the world
* Executive MBA program listed as one of Europe’s best 20 programs in Frankfurter Allgemeine newspaper rankings, 2004.
* Koç University selected as the CFA Institute’s first program partner in Turkey and one of only 40 CFA program partners in Europe, affirming that the university curriculum adheres to professional practice standards and successfully prepares students for the Chartered Financial Analyst® (CFA®) exams.
Faculty
Faculty and Research Areas
Yaman Arkun; Chemical & Biological Engineering
Research Area: Nonlinear modeling and dynamics, optimal control, control of biological and chemical processes, bioinformatics.
Cagatay Basdogan; Mechanical Engineering
Research Area: Man-machine interfaces, computer graphics, virtual environments, robotics, medical simulation and visualization, and computational modeling for biological systems.
Elvan Ceyhan; Mathematics
Research Area: Probabilistic Inference, spatial statisitics, random graphs, medical image analysis.
Mine Caglar; Mathematics
Research Area: Stochastic flows and data traffic in telecommunications.
Alper Demir; Electrical & Electronics Engineering
Research Area: Computational prototyping and design technologies for electronic and opto-electronic systems, electronic design automation.
Tekin Dereli; Physics
Research Area: Quantum information theory. Qubits and qutrits. Measures of entanglement. Quantum gates and circuits.
Burak Erman; Chemical & Biological Engineering
Research Area: Computational studies of polymers, proteins and complex biological systems.
Engin Erzin; Electrical & Electronics Engineering
Research Area: Signal processing and its applications in bioinformatics, speech processing.
Attila Gursoy; Computer Engineering
Research Area: Bioinformatics, protein interaction networks, parallel algorithms for computational biology.
Alkan Kabakcioglu;Physics
Research Area: Statistical physics of complex systems, conformational properties of biopolymers.
Halil Kavaklý; Chemical & Biological Engineering
Research Area: Plant biology and genomics, biological clock in human.
Ozlem Keskin; Chemical & Biological Engineering
Research Area: Protein structure and function, bioinformatics, protein folding.
Metin Muradoglu; Mechanical Engineering
Research Area: Multiphase flows in bio/micro fluid systems, turbulent combustion, scientific computing.
Ceyda Oguz; Industrial Engineering
Research Area: Machine scheduling, logistics, bioinformatics, metaheuristics, mathematical programming, operations research, and production planning and inventory control.
Lerzan Ormeci; Industrial Engineering
Research Area: Applied probability, stochastic processes, stochastic optimization.
Oznur Ozkasap; Computer Engineering
Research Area: Distributed computing, computer networks, simulation/modeling/evaluation of distributed systems.
Sibel Salman; Industrial Engineering
Research Area: network models and optimization with applications in telecommunication, distribution logistics, and disaster management.
Mehmet Sayar; Mechanical Engineering
Research Area: Simulation of soft-condensed matter, polymer physics, biologically inspired materials, mechanics of single molecules.
Alphan Sennaroglu; Electrical & Electronics Engineering
Research Area: Solid state lasers, ultrafast lasers, spectroscopy, nonlinear optics.
Metin Turkay; Industrial Engineering
Research Area: Computational drug synthesis, discrete-continuous optimization.
Emre Mengi; Mathematics
Research Area: Numerical Linear Algebra, Numerical Optimization, Optimization of Eigenvalues, Perturbation of Eigenvalues
Ersin Yurtsever; Chemistry
Research Area: Molecular quantum chemistry, molecular simulations, dynamics and thermodynamics of clusters.
Seda Keskin; Chemical & Biological Engineering
Research Area: Computational studies of nanoporous materials, design of next generation nanomaterials for energy applications, molecular simulations, dynamics and modeling
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