DOKTORA PROGRAMI

Tıp Bilişimi Doktora Programı akademisyenler/araştırmacılar yetiştirmeyi ve farklı disiplinlerden araştırmacıları Tıp Bilişimi bünyesinde toplayarak disiplinlerarası bilimsel araştırma yapmayı hedeflemektedir. Öğrenciler uzmanlaşma alanlarından (track) birini seçerek bu uzmanlaşma alanıyla ilgili açılan dersleri tamamlarlar. Kabul alan öğrenciler doktora programına devam etmeden önce bilimsel hazırlık programını tamamlamalıdır. Doktora programında ise öğrencilerin üç zorunlu ders, yedi seçmeli ders, seminer ve tez tamamlamaları gerekmektedir.

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LÜTFEN DERSLERİ GÖRMEK İÇİN TIKLAYINIZ.

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A-BİLİMSEL HAZIRLIK DERSLERİ
CENG 230 Introduction to Computers and Programming STAT 462 Biostatistics
B- PROGRAM ZORUNLU DERSLERİ
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- SAĞLIK/HASTANE BİLİŞİM SİSTEMLERİ
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- TIBBİ GÖRÜNTÜ/ SİNYAL ANALİZİ & İŞLENMESİ
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- TIBBİ KARAR DESTEK
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- NÖROBİLİM
1- Specialization Elective Courses 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- BİYOENFORMATİK
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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Doktora Yeterlilik Sınavı:

Tıp Bilişimi Doktora Programına kayıtlı tüm öğrenciler tez konularını sunmadan önce yeterlilik sınavını tamamlamalıdır. Yeterlilik sınavına, öğrencilerin ders yükünü tamamlamaları sırasında veya tamamlamalarından sonraki yarıyıl girilebilir.

Yeterlilik sınavının bölüm tarafından onaylanan dört dersi kapsayan bir yazılı kısmı vardır. Derslerden ikisi öğrencilerin uzmanlaşma alanıyla ilgili olmalıdır, biri programın temel derslerinden olmalıdır, bir diğeri ise seçmeli derslerden olmalıdır. (Lütfen yukarıda verilen derslere göz atınız.)

Yazılı kısmı başarıyla tamamlayan öğrenciler sözlü sınava girebilirler. Sözlü sınava öğrencinin danışmanı ile yeterlilik sınavı jürisi katılır. Sınavın yazılı kısmını hazırlayan öğretim üyeleri sözlü sınava jüri tarafından davet edilebilir. Öğrencinin yazılı ve sözlü sınavlardaki genel performansı yeterlilik sınavı jürisi tarafından değerlendirilerek, son karara varılır.