PhD
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.

Degree 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 within 3 years and take the Qualifying Examination within 7th semester at latest beyond the B.S. degree and 7 courses within 2 years and take the Qualifying Examination within 5th semester at latest beyond the M.S. degree. In addition to the credit courses, students must complete the non-credit courses; CMSE 590 Seminar, ENGL 500 Graduate Writing and TEAC 500 Teaching Experience.

Curriculum

Required core courses (3 credit each):

  • CMSE 501 Introduction to Computational Science
    and one of the below courses:
  • MATH 504 Numerical Methods I
  • ELEC 518 Numerical Modeling & Simulation
  • PHYS 514 Computational Physics

Elective courses (3 credit each):

  • CHEM 420 Quantum Chemistry
  • CHBI 406 Bioinformatics
  • PHYS 408 Optical and Laser Spectroscopy
  • PHYS 409 Topics in Condensed Matter Physics
  • ENGR 500 Applied Optimal Control
  • MATH 551 Partial Differential Equations
  • MATH 552 Partial Differential Equations II
  • INDR 501 Optimization Models and Algorithms
  • MECH 522 Computational Fluid Dynamics and Heat Transfer
  • MECH 534 Computer Based Simulation and Modeling
  • CMSE 520 Biomolecular Structure, Function and Dynamics
  • CMSE 581 Selected Topics in Computational Chemistry
  • CMSE 582 Selected Topics in Computational Physics
  • CMSE 583 Selected Topics in Computational Biology

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 595 MS Thesis

Students who have TA assignments must take TEAC 500: Teaching Experience during the semester of their assignments.  Students  must also take ENGL 500: Graduate Writing course.