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Computational Applied Sciences and Engineering M.Sc.. Program

Program Director: Dr. Faculty Member Deniz Eroğlu

Email: deniz.eroglu@khas.edu.tr 

Phone: 0 212 533 57 65   Ext. 1446

Adress: Cibali Campus, D Building, Room No: 217


Using English as the medium of instruction, Computational Applied Sciences and Engineering M.Sc. program offers an interdisciplinary research and education opportunity along with modern and innovative tools enriched with recent technological advances.

Why Computational Applied Sciences and Engineering M.Sc.. Program at KHAS? An Interdisciplinary program covering a wide range of topics, such as Biological Sciences, Chemistry and Biochemistry, Electronics, Mechatronics and Computer Engineering, Mathematics, Industrial Engineering and Physics. Students will be able to see their research turn into products effectively, and gain unique skills and approaches.

Who Can Apply to this Program? In addition to students from Engineering programs, students who have a BS degree from a Natural Sciences program such as Physics, Chemistry, or Biology can apply to this program.

Program Tracks: The course load of the Master’s program in Computational Applied Science and Engineering consists of the compulsory Seminar and Research Methods courses and 3 Field Elective and 4 Free elective courses.  The program has the following tracks.

Architectural Design Computing (Contact Information: Assistant Professor Sabri Gökmen)

Suggessted Courses

  • CSE *** - Architectural Design Computing
  • CSE *** - Digital Modeling and Fabrication
  • CSE *** - Architectural Design Scripting and Generative Systems
  • ARCH 506 - Architectural Morphology
  • ARCH *** - Research Methods in Architectural Design Computing

Robotics (Contact Information: Özkan Karabacak, Assistant Professor Mine SARAÇ STROPPA)

Suggessted Courses

  • CSE 502 Mathematical Methods in Computational Sciences
  • CSE 504 Classical Mechanics
  • CSE 507 Dynamics of Complex Systems
  • CSE 513 High Performance Computing for Science and Engineering
  • CSE 514 Dynamic Programming and Reinforcement Learning
  • CSE *** Virtual Reality, Augmented reality, Mixed reality

Computational Physics and Applied Mathematics (Contact Information: Deniz Eroğlu, Ayşe Hümeyra Bilge)

Suggested Courses:

  • CSE 502 Mathematical Methods in Computational Sciences
  • CSE 503 Advanced Linear Algebra
  • CSE 504 Classical Mechanics
  • CSE 506 Electromagnetic Theory
  • CSE 507 Dynamics of Complex Systems
  • CSE 510 Complex Networks and Their Applications
  • CSE512 Numerical Methods for Solving Large Scale Eigenvalue Problem
  • CSE 513 High Performance Computing for Science and Engineering
  • CSE 514 Dynamic Programming and Reinforcement Learning
  • CSE 515 Introduction to Quantum Computation

Computational Biology and Bioinformatics

(Contact Information: Prof. Dr. Ebru Demet AKDOĞAN)

Suggested Courses:

  • BIO510 - Computer-Aided Drug Design Prof. Dr. Ebru Demet AKDOĞAN
  • BIO555 - Molecular Modeling and Graphics Prof. Dr. Ebru Demet AKDOĞAN
  • BIO622 - Special Topics in Medicinal Chemistry Prof. Dr. Kemal YELEKÇİ
  • BIO522 - Computational Structural Biology Dr. Öğr. Üyesi Şebnem EŞSİZ
  • BIO523 - Introduction to Programming and Algorithm Dr. Öğr. Üyesi Şebnem EŞSİZ

Free Elective:

BIO 510 Computer Aided Drug Design
BIO 511 Bioinformatics
BIO 530 Computational Molecular Biology and Genomics
BIO 555 Molecular Modelling and Graphics
CE 509 Design and Analysis of Algorithms
CE 511 Neural Networks and Fuzzy Systems
CE 513 Parallel and Distributed Computing
CE 514 Data Mining
CE 516 Theory of Computation
CE 608 Graph Algorithms
CSE 607 Phase Transitions and Renormalization Group
CSE 612 Applied Thermodynamics
CSE 613 Applied Fluid Mechanics
CSE 614 Computational Fluid Dynamics
CSE 616 Stream and Complex Event Processing
CSE 617 Numerical Solution of Ordinary and Partial Differential Equations
CSE 618  Mathematical Methods in Applied Science and Engineering
CSE 619 Scientific Computing
CSE 620  Probability and Stochastic Processes and Applications
CSE 621  Statistical Methods in Engineering
CSE 622  Variational Methods in Engineering
CSE 617  Numerical Solution of Ordinary and Partial Differential Equations
CSE 620  Probability and Stochastic Processes and Applications
EE 501  Probability and Stochastic Processes
EE 503  Information Theory and Coding
EE 507  Statistical Sigmal Processing
EE 530  Optimal Control
FE 511  Stochastic Differential Equations
FE 515  Simulation Techniques in Risk Management
IE 503  Engineering Optimization and Applications
IT 560  Big Data Analytics
IT 601  High Performance Scientific Computing
MAT 602  Advanced Optimization and its Applications
MAT 603  Numerical Linear Algebra
CSE ***  Virtual Reality, Augmented Reality, Mixed Reality
CE 506  Computational Geometry
CE 509  Design and Analysis of Algorithms
CE 511  Neural Networks and Fuzzy Systems
CE 515  Data Science and Analytics
CE 516  Theory of Computation
CE 609  Machine Learning
MAT 603  Numerical Linear Algebra