GRADUATE SCHOOL OF INFORMATICSMEDICAL INFORMATICS GRADUATE PROGRAM


PhD Degree Requirements

The PhD Program in Medical Informatics aims to train academicians / researchers, to do inter-disciplinary scientific research, and to bring together the researchers from a multitude of disciplines in Medical Informatics field. Students should choose one of the tracks and complete the offered courses for each track. Accepted students must complete scientific preparation courses before continuing the PhD program. In PhD program students must complete three must courses, seven elective courses, seminar and thesis.

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A-SCIENTIFIC PREPARATION COURSES
    • CENG 230 Introduction to Computers and Programming
    • STAT 462 Biostatistics
        B- PROGRAM MUST COURSES
        • MIN 502 Introduction to Medical Informatics
        • MIN 528 Fundamentals of Mathematics for Information Systems
        • MIN 545 Object-Oriented Programming and Data Structures
        • MIN 699 THESIS
        • MIN 590 SEMINAR
        1- HEALTH / HOSPITAL INFORMATION SYSTEMS
        1- Specialization Elective Courses
        • MIN 503 EHR: Representation, Standards and Coding 
        • MIN 701 Networking for Health Information Systems and Telehealth
        • MIN 702 Evaluation Methods for Health Informatics
        • MIN 710 Database Applications for Medical Informatics 
        •  IS 740 Information Technology Acceptanceee

        2- Free Electives

        • MIN 704 Reasoning Under Uncertainty
        • MIN 715 Future Studies in Healthcare
        • BIS 736 Sağlık Bilimlerinde Araştırma Yöntemleri
        • CENG 538 Advanced Graphics and User Interfaces
        • CENG 555 Object Oriented Database Systems
        • CENG 559 Data Security and Protection
        • IS 501 Introduction to Information Systems
        • IS 503 Database Concepts and Applications
        • IS 504 Computer Networking for Information Systems
        • IS 507 SW Engineering
        • IS 551 Computer Security and Cryptography
        • IS 580 Knowledge Representation and Data Mining
        • IS 785 Social Network Analysis
        • IAM 501 Introduction to Cryptography
        • HAS 640 Epidemiyolojinin Temel İlke ve Yöntemleri
        • HAS 645 Epidemiyolojide Araştırma Programlama ve Uygulama
        2- MEDICAL IMAGE / SIGNAL ANALYSIS & PROCESSING

        1- Specialization Elective Courses

        • MIN 524 Fundementals of Medical Imaging: Acquistion, Reconstruction and Analysis
        • MIN 530 Medical Image Analysis
        • MIN 533 Brain Dynamics and Oscillations
        • MIN 535 Biological Signal Analysis
        • MIN 711 Advanced Topics in Medical Image Analysis
        2- Free Electives
        • CENG 538 Advanced Graphics and User Interfaces
        • CENG 555 Object Oriented Database Systems
        • CENG 561 Artifical iıntelligance
        • CENG 562 Machine Learning 
        • CENG 564 Pattern Recognition 
        • CENG 569 Neurocomputing (EE 543 Neurocomputers)
        • CENG 571 Numerical Analysis I 
        • CENG 574 Statistical Data Analysis (BİS 656 İstatistiksel Hesaplama)
        • CENG 576 Numerical Methods in Optimization
        • CENG 581 Automated Reasoning
        • CENG 583 Computer Vision
        • EE 430 Digital Signal Processing
        • EE 543 Neurocomputers
        • EE 553 Optimization
        • EE 583 Pattern Recognition
        • EE 642 Introduction to Mathematical Bases of Computer Graphics
        • EE 701 Robot Vision
        • ES 503 Finite Element Method
        • IAM 530 Elements of Probability and Statistics
        • IAM 564 Basic Algorithms and Programming
        • IS 507 Introduction to SW Engineering
        • IS 566 Image Processing Algorithms
        • IS 580 Knowledge Representation and Data Mining
        • BİS 656 İstatistiksel Hesaplama
        • BİS 736 Sağlık Bilimlerinde Araştırma Yönteleri
        • MIN 505 Neuroimaging : Anatomy, Physiology and Function of the Human Brain
        • MIN 703 Medical Imaging Applications
        • MIN 704 Reasoning Under Uncertainty
        • MIN 710 Database Applications for Medical Informatics
        • MIN 715 Future Studies in Healthcare
        • MIN 720 Pattern Classification for Biomedical Applications
                          3- MEDICAL DECISION SUPPORT
                          1- Specialization Elective Courses
                          • MIN 702 Evaluation Methods in Health Informatics 
                          • MIN 704 Reasoning Under Uncertainty
                          • MIN 720 Pattern Classification for Bio-Medical Applications
                          • IS 580 Knowledge Representation and Data Mining

                          2- Free Electives

                          • CENG 555 Object Oriented Database Systems
                          • CENG 561 Artifical Intelligence
                          • CENG 562 Machine Learning
                          • CENG 564 Pattern Recognition
                          • CENG 568 Knowledge Representation
                          • CENG 569 Neurocomputing
                          • CENG 571 Numerical Analysis I
                          • CENG 574 Statistical Data Analysis
                          • CENG 576 Numerical Methods in Optimization
                          • CENG 580 Distributed Artifical Intelligence
                          • CENG 581 Automated Reasoning
                          • EE 543 Neurocomputers
                          • EE 553 Optimization
                          • ES 501 Analytical Methods in Engineering
                          • IAM 530 Elements of Probability and Statistics
                          • IAM 564 Basic Algorithms and Programming
                          • IS 507 Introduction to SW Engineering
                          • IS 533 Decision Support Systems
                          • MIN 503 EHR : Representation, Standards and Coding
                          • MIN 537 Neural Networks for Biomedical Applications
                          • MIN 710 Database Applications for Medical Informatics
                          • MIN 715 Future Studies in Healthcare
                          • BİS 610 Karar Verme Sürecinde İstatistiksel Yöntemler
                          • BİS 656 İstatistiksel Hesaplama
                          • BİS 736 Sağlık Bilimlerinde Araştırma Yöntemleri
                                                                        4- NEUROSCIENCE
                                                                        1- Specialization Elective Courses
                                                                        • MIN 550 Systems Neuroscience
                                                                        • MIN 555 Principles of Cognitive Neuroscience
                                                                        • MIN 505 Neuroimaging: anatomy, Physiology and Function of the Human Brain
                                                                        • MIN 506 Advanced Neuroimaging with Magnetic Resonance Imaging
                                                                        • MIN 533 Brain Dynamics and Oscillations
                                                                        • MIN 537 Neural Networks for Biomedical Applications

                                                                        2- Free Electives

                                                                        • BIO 406 Behavioral Neuroscience
                                                                        • BIO 409 Introduction to Neurobiology
                                                                        • BIO 417 Neurochemistry
                                                                        • BIO 461-2 Biophysics I-II
                                                                        • BIO 507 Neurobiology
                                                                        • BIO 562 Spectroscopy of Biological Molecules and Membranes
                                                                        • BIO 704 Advances in Neuroscience
                                                                        • BIO 705 Protein Structure Function and stability
                                                                        • BIO 716 Moleculer and Cellular Biology
                                                                        • BIS 656 İstatistiksel Hesaplama
                                                                        • IS 503 Database Concepts and Applications
                                                                        • CENG 555 Object-Oriented Database Systems
                                                                        • CENG 561 Artifical Intelligence
                                                                        • CENG 562 Machine Learning
                                                                        • CENG 564 Pattern Recognition
                                                                        • CENG 569 Neurocomputing
                                                                        • CENG 571 Numerical Analysis I
                                                                        • CENG 574 Statistical Data Analysis 
                                                                        • CENG 576 Numerical Methods in Optimization
                                                                        • EE 543 Neurocomputers
                                                                        • EE 553 Optimization
                                                                        • IS 566 Image Processing Algorithms
                                                                        • IS 580 Knowledge Representation and Data Mining
                                                                        • MIN 535 Biological Signal Analysis
                                                                        • MIN 704 Reasoning under Uncertainty
                                                                        • MIN 710 Database Applications for Medical Informatics
                                                                        • MIN 711 Advanced Topics in Medical Image Analysis
                                                                        • MIN 715 Future Studies in Healthcare
                                                                        • MIN 720 Pattern Classification for Bio-Medical Applications
                                                                        5- BIOINFORMATICS
                                                                        1- Specialization Elective Courses
                                                                        • BIN 501 Introduction to Bioinformatics
                                                                        • BIN 503 Biological Databases and Data Analysis Tools
                                                                        • BIN 504 Probabilistic and Statistical Modeling for Bioinformatics
                                                                        • BIN 506 Protein and DNA Sequence Analysis
                                                                        • BIN 714 Microarray Data Analysis and Informatics
                                                                        2- Free Electives
                                                                        • BIN 711 Applications of Bioinformatics in Moleculer Biology
                                                                        • BIN 712 Computational Methods in Bioinformatics
                                                                        • BIO 505 Advanced Molecular Genetics
                                                                        • BIO 705 Protein Structure Function and Stability
                                                                        • BIO 715 Genomics and Proteomics
                                                                        • BİS 656 İstatistiksel Hesaplama
                                                                        • BTCH 705 Current Techniques in Protein Interactions
                                                                        • CENG 553 Database Management Systems
                                                                        • CENG 538 Advanced Graphics and User Interfaces
                                                                        • CENG 556 Distributed Database Management Systems
                                                                        • CENG 561 Artificial Intelligence
                                                                        • CENG 562 Machine Learning
                                                                        • CENG 564 Pattern Recognition
                                                                        • CENG 567 Design and Analysis of Algorithms
                                                                        • CENG 571-2 Numerical Analysis I-II
                                                                        • CENG 574 Statistical Data Analysis
                                                                        • CENG 577 Parallel Computing
                                                                        • CENG 580 Distributed Artificial Intelligence
                                                                        • CENG 714 Data Mining
                                                                        • CENG 734 Advanced Topics in Bioinformatics
                                                                        • FDE 403 Food Biotechnology
                                                                        • IAM 530 Statistics and Probability
                                                                        • IAM 557 Statistical Learning and Simulation
                                                                        • IAM 565 Introduction to Algorithms and Complexity
                                                                        • IAM 566 Numerical Optimization
                                                                        • IAM 567 Mathematical Modeling
                                                                        • IAM 664 Inverse Problems
                                                                        • IE 455 An Introduction to Combinatorial Analysis
                                                                        • IS 503 Database Concepts and Applications
                                                                        • IS 504 Computer Networksing for Information Systems
                                                                        • IS 507 Introduction to Software Engineering
                                                                        • IS 580 Knowledge Representation and Data Mining
                                                                        • IS 738 Software Desing Patterns
                                                                        • MIN 545 Object Oriented Programming and Data Structures
                                                                        • MIN 704 Reasoning Under Uncertainity
                                                                        • MIN 710 Database Applications for Medical Informatics
                                                                        • MIN 715 Future Studies in Healthcare
                                                                        • MIN 720 Pattern Classification for Bio-Medical Applications
                                                                        • STAT 462 Biostatistics
                                                                        • STAT 515 Computational Statistics and Data Analysis

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                                                                        PhD Qualifying Exam:

                                                                         

                                                                        All graduate students in the Medical Informatics Doctoral Program should pass the qualifying exam before proposing their dissertation topics. Qualifying exam can be taken during or after the last semester students complete their course work. 

                                                                         

                                                                        The qualifying exam consists of a written part that covers  four courses that are approved by the department. Two of the courses should be from the students' specified area, one from the core courses of the program and one from the  elective courses. (check above for course listings) .

                                                                         

                                                                        Students who successfully pass the written part can enter the oral examination. Student's advisor and members of the qualifying exam jury attends the oral examination. Instructors of the courses who have prepared the written part of the qualifying exam can be invited to the oral examination by the qualifying examination jury.  Students overall performance in both written  and part examinations are evaluated by the qualifying exam jury for the final decision.