{"id":200,"date":"2019-03-27T15:58:16","date_gmt":"2019-03-27T15:58:16","guid":{"rendered":"http:\/\/oyabeyan.info\/?page_id=200"},"modified":"2026-02-10T17:06:30","modified_gmt":"2026-02-10T17:06:30","slug":"teaching","status":"publish","type":"page","link":"https:\/\/oyabeyan.info\/?page_id=200","title":{"rendered":"Teaching"},"content":{"rendered":"<div class=\"tabs tabs-horizontal\"> <ul class=\"tabs-menu\"> <li class=\"active\"><a href=\"#11\">Courses<\/a><\/li> <li><a href=\"#22\">Theses<\/a><\/li> <li><a href=\"#33\">Others<\/a><\/li> <\/ul><\/p>\n<p><div class=\"tabs-content\"><\/p>\n<p><div id=\"11\" class=\"tab-content\"><\/p>\n<p><strong>UNIVERSITY OF COLOGNE<\/strong><\/p>\n<ul>\n<li><strong>Data Driven Medicine (DDM):<\/strong><br \/>\n<strong>&#x2666;\u00a0 Introduction to medical data science (DDM 1):<\/strong> 2022-2023 (WS), 2023 (SS), 2023-2024 (WS), 2024 (SS)<br \/>\n<strong>&#x2666;\u00a0 Teaching machines how to make a decision: Supervised Machine Learning (DDM 2): <\/strong>2022-2023 (WS), 2023 (SS), 2023-2024 (WS), 2024 (SS)<br \/>\n<strong>&#x2666;\u00a0 How machines can self learn: Unsupervised Machine Learning (DDM 3): <\/strong>2022-2023 (WS), 2023 (SS), 2023-2024 (WS),\u00a02024 (SS)<br \/>\n<strong>&#x2666;\u00a0 Diagnosing AI algorithms: Visualisation and Evaluation (DDM 4): <\/strong>2022-2023 (WS), 2023 (SS), 2023-2024 (WS), 2024 (SS)<br \/>\n<strong>&#x2666;\u00a0 Theoretical background and origins: <\/strong>2022 (SS)<br \/>\n<strong>&#x2666;\u00a0 Hands-on implementation with KNIME: <\/strong>2022 (SS)<\/li>\n<\/ul>\n<ul>\n<li><strong> Hands-on Data Science: <\/strong>2023 (SS)<\/li>\n<li><strong>Ethical aspects of Medical AI applications:<\/strong> 2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>AI Ethics (AIE): <\/strong>2022 (SS), 2022-2023 (WS)<\/li>\n<li><strong>Deep Learning Basics: <\/strong>2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>Medical Image Processing:<\/strong> 2022-2023 (WS), 2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>Machine Learning and Trust in Medical Applications: Determining the tradeoffs: <\/strong>2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>Data Analytics with Python for Medical Doctors:<\/strong> 2022-2023 (WS), 2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>Coding Basics in Python: <\/strong>2023 (SS), 2023-2024 (WS), 2024 (SS)<\/li>\n<li><strong>Semantic Interoperability (SI): <\/strong>2022 (SS), 2023-2024 (WS)<\/li>\n<li><strong>Semantic Interoperability in Health:<\/strong> 2022-2023 (WS), 2023 (SS), 2024 (SS)<\/li>\n<li><strong>MedTechs, Medical Technology-based Entrepreneurship and Innovation: <\/strong>2022 (SS), 2022-2023 (WS), 2023 (SS), 2024 (SS)<\/li>\n<\/ul>\n<hr \/>\n<p><strong>RWTH AACHEN UNIVERSITY<\/strong><\/p>\n<ul>\n<li><strong>Data Driven Medicine (Lecture): <\/strong>2017 (SS), 2017-2018 (WS), 2018-2019 (WS), 2020-2021 (WS)<\/li>\n<li><strong>Big Data in Medical Informatics (Lecture):<\/strong> 2016-2017 (WS)<\/li>\n<li><strong>Knowledge Graphs Praktikum (Practical Course):<\/strong> 2018 (SS), 2019 (SS), 2020-2021 (WS)<\/li>\n<li><strong>Methods for Data Reusability (Seminar):<\/strong> 2018-2019 (WS), 2019-2020 (WS), 2020-2021 (WS)<\/li>\n<li><strong>Big Data in Personalized Medicine (Seminar):<\/strong> 2016 (SS), 2016-2017 (WS), 2017 (SS), 2017-2018 (WS)<\/li>\n<li><strong>Research Data Management (Seminar):<\/strong> 2017 (SS)<\/li>\n<li><strong>Linked Data (Seminar):<\/strong> 2015-2016 (WS), 2016 (SS), 2016-2017 (WS), 2017 (SS)<\/li>\n<\/ul>\n<hr \/>\n<p><strong>ATILIM UNIVERSITY (T\u00dcRK\u0130YE)<\/strong><\/p>\n<ul>\n<li><strong>COMPE 111- Introduction to Computer Engineering:<\/strong> 2011-2012 (1)<\/li>\n<li><strong>SE 112- Introduction to Software Engineering:<\/strong> 2011-2012 (2)<\/li>\n<li><strong>SE 322- Software Design and Architecture:<\/strong> 2011-2012 (2)<\/li>\n<li><strong>COMPE 343- Database Systems and Programming:<\/strong> 2011-2012 (3)<\/li>\n<li><strong>COMPE 491- Senior Project:<\/strong> 2011-2012 (1), 2011-2012 (2)<\/li>\n<\/ul>\n<hr \/>\n<p><strong>MIDDLE EAST TECHNICAL UNIVERSITY-METU (T\u00dcRK\u0130YE)<\/strong><\/p>\n<ul>\n<li><strong>IS 503- Database Concepts and Applications:<\/strong> 2010-2011 (2)<\/li>\n<li><strong>IS 580- Knowledge Representation and Data Mining:<\/strong> 2009-2010 (1), 2010-2011 (1)<\/li>\n<li><strong>MIN 502- Introduction to Medical Informatics:<\/strong> 2008-2009 (2), 2009-2010 (2)<\/li>\n<li><strong>IS 100- Introduction to Information Technologies and Applications:<\/strong> 2000 through 2003<\/li>\n<\/ul>\n<p><\/div><\/p>\n<p><div id=\"22\" class=\"tab-content\"><\/p>\n<div>\n<header class=\"entry-header\">\n<p class=\"entry-title\"><strong>RUNNING THESES:<\/strong><\/p>\n<\/header>\n<\/div>\n<p>Integrating Computational Biosignal Analytics into Data-Driven Multimodal Approaches in Modern Critical Care in Cardiac Surgery. (Dr. med. Karen Annette Hornung; Primary Supervisor: Prof. Dr. Oya Deniz Beyan, Secondary Supervisor: Prof. Dr. Sara Schramm, Advisor: Ekaterina Kutafina) <a href=\"https:\/\/imibe.uk-essen.de\/phd\/\" target=\"_blank\" rel=\"noopener\"><strong>(PhD Program Epidemiology and Clinical Research (epi&amp;cr) at Institute for Medical Informatics, Biometry, and Epidemiology (IMIBE) of the University of Duisburg-Essen)<\/strong><\/a><\/p>\n<p>Adaptive Weighting Strategies in Multi-Agent Reinforcement Learning for Large Language Models. (Lingxiao Kong; Supervisor: Prof. Dr. Oya Deniz Beyan, Co-supervisor: Prof. Tatiana von Landesberger) <a href=\"https:\/\/cs.uni-koeln.de\/\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Student of the Math.-Nat. Fakult\u00e4t, Abteilung f\u00fcr Informatik)<\/strong><\/a><\/p>\n<p>Exploring the full cycle for data driven innovation in the clinical domain based on integrative research and real-world use-cases. (Oliver Diekmeier; Supervisor: Prof. Dr. Oya Deniz Beyan, Co-supervisor: Prof. Dr.-Ing. Stefan Wesner) <a href=\"https:\/\/cs.uni-koeln.de\/\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Student of the Math.-Nat. Fakult\u00e4t, Abteilung f\u00fcr Informatik)<\/strong><\/a><\/p>\n<p>Leveraging data integration architectures for patient care: case of\u00a0 multimodal sensor data. (Mayra Elwes; Supervisor: Prof. Dr. Oya Deniz Beyan, Advisor: Ekaterina Kutafina) <a href=\"https:\/\/cs.uni-koeln.de\/\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Student of the Math.-Nat. Fakult\u00e4t, Abteilung f\u00fcr Informatik)<\/strong><\/a><\/p>\n<p>Optimizing integration of sparse multi-modal data vectors: An algorithmic approach for maximizing the usability of medical real-world data for AI-based decision-making. (Julia Gehrmann; Supervisor: Prof. Dr. Oya Deniz Beyan, Co-supervisor: Prof. Tatiana von Landesberger) <a href=\"https:\/\/cs.uni-koeln.de\/\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Student of the Math.-Nat. Fakult\u00e4t, Abteilung f\u00fcr Informatik)<\/strong><\/a><\/p>\n<p>Enhancing the added value of a medical data platform for diverse stakeholders in a multi-actor healthcare environment. (Henrike Oberlack; Supervisor: Prof. Dr. Oya Deniz Beyan, Co-supervisor: Prof. Dr. med. Barbara Eichhorst) <a href=\"https:\/\/medfak.uni-koeln.de\/akadem-qualifizierung-foerderung\/akademische-qualifizierung\/promotion\/phd-aequivalente-promotionsprogramme\/phd-in-health-sciences-bzw-md-phd-in-health-sciences-iphs\" target=\"_blank\" rel=\"noopener\"><strong>(PhD in Health Sciences)<\/strong><\/a><\/p>\n<p>Generative Deep Learning Modeling for Medical Image Transformation Application in Federated Learning Framework. (Feifei Li; Supervisor: Prof. Dr. Oya Deniz Beyan) \u00a0<a href=\"https:\/\/medfak.uni-koeln.de\/akadem-qualifizierung-foerderung\/akademische-qualifizierung\/promotion\/phd-aequivalente-promotionsprogramme\/phd-in-health-sciences-bzw-md-phd-in-health-sciences-iphs\" target=\"_blank\" rel=\"noopener\"><strong>(PhD in Health Sciences)<\/strong><\/a><\/p>\n<p>Cyber Security Threats in Medical Research Data Integration Centers: Proposal for an Overview and Mitigation Framework in University Hospital Cologne. (Muhammad Adnan; Supervisor: Prof. Dr. Oya Deniz Beyan) \u00a0<a href=\"https:\/\/medfak.uni-koeln.de\/akadem-qualifizierung-foerderung\/akademische-qualifizierung\/promotion\/phd-aequivalente-promotionsprogramme\/phd-in-health-sciences-bzw-md-phd-in-health-sciences-iphs\" target=\"_blank\" rel=\"noopener\"><strong>(PhD in Health Sciences)<\/strong><\/a><\/p>\n<p>Real-time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital&#8217;s Medical Data Integration Center. (Md. Mostafa Kamal; Supervisor: Prof. Dr. Oya Deniz Beyan, Advisor: Ekaterina Kutafina) \u00a0<a href=\"https:\/\/medfak.uni-koeln.de\/akadem-qualifizierung-foerderung\/akademische-qualifizierung\/promotion\/phd-aequivalente-promotionsprogramme\/phd-in-health-sciences-bzw-md-phd-in-health-sciences-iphs\" target=\"_blank\" rel=\"noopener\"><strong>(PhD in Health Sciences)<\/strong><\/a><\/p>\n<p>Improving Quality and Reusability of Health Care Data for Secondary Use. (Samer Alkarkoukly, Supervisor: Prof. Dr. Oya Deniz Beyan) <a href=\"https:\/\/medfak.uni-koeln.de\/forschung\/personenfoerderung-karriere\/promotionsprogramme\/graduiertenschule-human-und-zahnmedizin\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Studies for Medicine)<\/strong><\/a><\/p>\n<p>Minimal Data Model for Rare Diseases to align HL7 FHIR and the GA4GH Phenopackets Schema.\u00a0(Adam Graefe; Supervisor: Prof. Dr. Oya Deniz Beyan) <a href=\"https:\/\/medfak.uni-koeln.de\/forschung\/personenfoerderung-karriere\/promotionsprogramme\/graduiertenschule-human-und-zahnmedizin\" target=\"_blank\" rel=\"noopener\"><strong>(Doctoral Studies for Medicine)<\/strong><\/a><\/p>\n<div>\n<div class=\"entry-content\">\n<hr \/>\n<p><strong>FINISHED THESES:<\/strong><\/p>\n<\/div>\n<\/div>\n<p>Bridging the gap between design and deployment of statistical analyses in Distributed Analytics. (Completed by Sven Weber in 2022; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Oya Deniz Beyan) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>Design and Evaluation of a Federated Machine Learning Model on Vertically Partitioned Data. (Completed by Mehrshad Jaberansary in 2022; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Fostering interoperability of unstructured radiology reports by designing and implementing an annotation guideline in oncology. (Completed by Matthias Thelen in 2022; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Current state, challenges and recommendations for the use of data science and implementation of digital processes in psychiatry. (Completed by Tanja Veselinovi\u0107 in 2022; Supervised by Prof. Dr. Irene Neuner, Prof. Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Designing a Data Access and Integration Workflow for Medical Data Science: A Use Case of Compilling a Reusable Data Set for Primary Tumor Discovery at MeDIC Cologne. (Completed by Julia Gehrmann in 2022; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Methods to Improve Decentralised Incremental Learning (Completed by Madhavi Jouhari in 2021; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Markus Strohmaier; Advisors: Dr. Oya Deniz Beyan, Sascha Welten, Yongli Mou, Yeliz Ucer Yediel) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<div>\n<div class=\"entry-content\">\n<p>An ethics guideline for data scientists, Developing an executable guide for responsible data science (Completed by Dinh An Ho in 2020; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Markus Strohmaier; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>A Framework for Visual Configuration of Application-specific Presentation Views on Standardized Reference Master Data (Completed by Kevin Koopmann in 2020; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Dr. Heiner Oberkampf, Jan Winkelmann) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>A Meta-Data Description for a Distributed Analytics Platform (Completed by Laurenz Neumann in 2020; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Markus Strohmaier; Advisors: Dr. Oya Deniz Beyan, Sascha Welten, Yeliz Ucer Yediel) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>Developing Data Quality Metrics for Power System Modeling (Completed by Merlin B\u00f6gershausen in 2020; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Bernhard Rumpe; Advisors: Dr. Oya Deniz Beyan, Dr. Christoph Lange-Bever, Dr. Oliver Scheufeld) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>FAIR Identifier Registry for Distributed Systems (Completed by Oleksandr Snizhko in 2019; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Dr. Heiner Oberkampf, Jan Winkelmann) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Towards Automating Graph Data Cleansing Using Shapes (Completed by Erhard Eibl in 2019; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Dr. Heiner Oberkampf, Jan Winkelmann) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>Classification of Cancer with Methylation Aware Motifs (Completed by Julia Gehrmann in 2019; Supervised by Prof. Dr. Stefan Decker, Prof. Dr. Ivan Gesteira Costa Filho; Advisors: Dr. Oya Deniz Beyan, Md. Rezaul Karim, M.Sc.) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>An Explainable and Fully Automated Localization and Semantic Segmentation Technique for Biomedical Imaging (Completed by Nazmi Shafin in 2019; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Md. Rezaul Karim, M.Sc.) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<\/div>\n<\/div>\n<p>Semantic Anomaly Detection in Medical Time Series (Completed by Sven Festag in 2019; Supervised by Prof. Dr. Stefan Decker, Dr. rer. nat. Cord Spreckelsen; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<div>\n<div class=\"entry-content\">\n<p>Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Images (Completed by Jiao Jiao\u00a0 in 2019; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Dr. Michael Cochez, Md. Rezaul Karim, M.Sc.) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Developing a machine-actionable process model for ethical approval workflows (Completed by Verena Schwaiger in 2019; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Unsupervised Anomaly Detection in Medical Time Series Data (Completed by Tobias Brockhoff in 2019; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Patterns zur Integration regel- und prozessbasierter Modellkomponenten bei der Operationalisierung klinischer Leitlinien. (Completed by\u00a0 Florian Lammers in 2019; Supervised by Prof. Dr. Stefan Decker, Dr. rer. nat. Cord Spreckelsen; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<\/div>\n<\/div>\n<p>Arden Syntax in Use of Data Analysis Pipelines \u2013 Development of a DSL Based on the Arden Syntax, supporting recruitment for clinical trails (Completed by Felix Michael Fuchs in 2019; Supervised by Prof. Dr. Stefan Decker, Dr. rer. nat. Cord Spreckelsen; Advisor: Dr. Oya Deniz Beyan) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>Design and Implementation of an adaptable visual query tool for graph based health data (Completed by Maximilian Orth in 2019; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Implementation of Clinical Decision Support Services to Detect Drug Interactions using Clinical Quality Language (Completed by Binh-Phi Nguyen in 2019; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Oya Deniz Beyan, Md. Rezaul Karim, M.Sc.) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Using Deep Neural Networks and Copy Number Variations for Cancer Detection (Completed by Md. Ashiqur Rahman in 2018; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Md. Rezaul Karim, M.Sc.) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Semantic Data Profiling in Data Lake (Completed by Jasim Waheed Ansari in 2018; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Naila Karim, Dr. Michael Cochez) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Analysis of Breast Cancer Genomic Data with Multimodal Deep Belief Network (Completed by Galih Gilang Wicaksono in 2018; Supervised by Prof. Dr. Stefan Decker; Advisors: Dr. Oya Deniz Beyan, Md. Rezaul Karim, M.Sc.) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>Smart Quality Check for FHIR Resources System (Completed by Hareem Mughis in 2017; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Master&#8217;s Thesis)<\/strong><\/p>\n<p>The Design and Implementation of an Integrated Care Plan Application for Chronic Patients with the FHIR Standard (Completed by Maren Gr\u00fcter in 2017; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p>Development and Optimization of a STOPP\/START Rule Base to Identify Potential Adverse Drug Reactions in Polypharmacy Cases (Completed by Jonas W. K\u00f6nning in 2017; Supervised by Prof. Dr. Stefan Decker; Advisor: Dr. Oya Deniz Beyan) <strong>(Bachelor Thesis)<\/strong><\/p>\n<p><\/div><\/p>\n<p><div id=\"33\" class=\"tab-content\"><\/p>\n<p><strong>CONTRIBUTION TO STANDARDIZATION ACTIVITIES:<\/strong><\/p>\n<p>World Wide Web Consortium (W3C). <span style=\"color: #993300;\"><a style=\"color: #993300;\" href=\"https:\/\/www.w3.org\/2019\/05\/pddi\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence &#8211; Technical and User-centered Foundation.<\/a><\/span> Final Community Group Report <time class=\"dt-published\" datetime=\"2019-05-18\">18 May 2019.<\/time><\/p>\n<p>HL7 FHIR.\u00a0<span style=\"color: #993300;\"><a style=\"color: #993300;\" href=\"http:\/\/hl7.org\/fhir\/uv\/pddi\/2018Sep\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">Potential Drug-Drug Interaction (PDDI) CDS IG R1\/STU.<\/a><\/span><\/p>\n<p>HL7 FHIR.\u00a0<a href=\"https:\/\/build.fhir.org\/ig\/HL7\/fhir-for-fair\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #800000;\">FHIR for FAIR &#8211; FHIR Implementation Guide. 1.0.0 &#8211; STU 1.<\/span><\/a><\/p>\n<hr \/>\n<p><strong>PROGRAM COORDINATION:<\/strong><\/p>\n<p>Sa\u011fl\u0131k Bilgi Sistemleri (SBS) Sertifika Program\u0131\u00a0(Healthcare Information Systems Certification Program),\u00a0Middle East Technical University (METU)\u00a0(in Turkish)<\/p>\n<p>ION Informatics Online Master Program,\u00a0Middle East Technical University (METU)<\/p>\n<hr \/>\n<p><strong>CURRICULUM &amp; COURSE DEVELOPMENT:<\/strong><\/p>\n<p>Data Driven Medicine, RWHT Aachen University<\/p>\n<p>Sa\u011fl\u0131k Bilgi Sistemleri (SBS) Sertifika Program\u0131 (Healthcare Information Systems Certification Program), Middle East Technical University (METU)\u00a0(in Turkish)<\/p>\n<p>Introduction to Information Technologies and Applications,\u00a0Middle East Technical University (METU)<\/p>\n<p><\/div><\/p>\n<p><\/div><\/p>\n<p><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-200","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/pages\/200","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/oyabeyan.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=200"}],"version-history":[{"count":1,"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/pages\/200\/revisions"}],"predecessor-version":[{"id":484,"href":"https:\/\/oyabeyan.info\/index.php?rest_route=\/wp\/v2\/pages\/200\/revisions\/484"}],"wp:attachment":[{"href":"https:\/\/oyabeyan.info\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=200"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}