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It lists subject groups with page references and includes detailed course descriptions for “Legacy Systems Architectures and Modernisation for Digital Transformation”, covering legacy modernization, transaction processing, OLTP, and mobile/web engagement systems, plus “Deep Learning for Beginners”, introducing neural networks, convolution, activations, losses, regularization, and common architectures. Exam formats and weekly hours/credits are also 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topics are covered in the course “Legacy Systems Architectures and Modernisation for Digital Transformation”?","Question",{"text":112,"@type":113},"The course focuses on enterprise computing and digital transformation, including legacy application modernization, centralized vs. decentralized transaction processing, OLTP, and implementing and operating modern mobile or web-based front ends.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What core skills and concepts are introduced in “Deep Learning for Beginners”?",{"text":117,"@type":113},"The course covers neural networks and deep learning fundamentals such as convolutional layers, activation and loss functions, and regularization, along with practical topics like optimization, common practices, architectures, and unsupervised learning.",{"name":119,"@type":110,"acceptedAnswer":120},"How are credits and weekly hours structured across the listed courses?",{"text":121,"@type":113},"The document provides hours per week (SWS) and ECTS for each course, such as 4 SWS / 6 ECTS for the legacy modernization course and 2 SWS / 2.5 ECTS for the deep learning course.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},492049,1791491446,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962090760505,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","CLASSIC vhb  \nONLINE COURSES  \nENGLISH  \nWinter Term  \n2026/27  \nRegistration and enrolmentat https://www.vhb.org  \nPublished by  \nVirtuelle Hochschule Bayern (vhb)Bavarian Virtual University  \nOffice:  \nLuitpoldstraße 596052 BambergGermany  \nFon +49 951/863-3800  \nFax +49 951/863-3805  \nEmail: info@vhb.org  \nAs of October 2026  \nSubject Group  \nComputer Science ................................................................................................................................... 3  \nEconomic Sciences................................................................................................................................. 11  \nEngineering............................................................................................................................................ 43  \nHealth Care / Health Management ....................................................................................................... 50  \nHumanities and Cultural Studies ........................................................................................................... 57  \nInformation Systems ............................................................................................................................. 58  \nKey Skills ................................................................................................................................................ 64  \nLanguages .............................................................................................................................................. 71  \nMedicine / Medical Science .................................................................................................................. 85  \nNatural Sciences .................................................................................................................................... 89  \nSocial Sciences....................................................................................................................................... 93  \nSocial Work............................................................................................................................................ 94  \nTeacher Education................................................................................................................................. 95  \nProf. Dr. Anna Kruspe  \nHochschule für angewandte Wissenschaften München(Hochschule München University of Applied Sciences)  \nAbstract  \nMore information will be available soon  \nCourse structure  \nMore information will be available soon  \nHours per week / Credits  \n4 SWS / 6 ECTS  \nExam  \nMore information will be available soon  \nBusiness Application Re-Engineering  \n# Legacy Systems Architectures and Modernisation for Digital Transformation\n\nProf. Dr. Philipp Brune  \nHochschule für angewandte Wissenschaften Neu-Ulm(Neu-Ulm University of Applied Sciences)  \n# Abstract\n\nThe course is for students interested in computer science and business informatics or informationmanagement as well as related courses of study and deals in depth with central topics of enterprisecomputing. Since the topics of the course are highly relevant for graduates – given the fact of theubiquitous digital transformation - from a labour market perspective on the one hand, and on the otherhand often cannot be dealt with in basic computer science training due to time constraints – thiscomplex of topics lends itself to a cross-university, in-depth course offering. As a course participant, youare able to:  \n• Deepen your existing expertise in computer science and information technology with regard tothe requirements and relevant technologies of enterprise computing and digital transformation.  \n• Understand, evaluate and be able to apply the problems/challenges as well as the differentaspects and approaches of modernizing legacy applications in an enterprise context.  \n• Understand, evaluate and be able to apply traditional and new approaches (Blockchain, DLT) foronline t","cbCaifrIu6j5a3Sx","https://ap.wps.com/l/cbCaifrIu6j5a3Sx","pdf",2248061,97,"English","# Legacy Systems Architectures and Modernisation for Digital Transformation\n## Abstract\n## Course structure\n## Exam\n# Deep Learning for Beginners\n## Abstract\n## Course structure\n# Exam","[{\"question\":\"What topics are covered in the course “Legacy Systems Architectures and Modernisation for Digital Transformation”?\",\"answer\":\"The course focuses on enterprise computing and digital transformation, including legacy application modernization, centralized vs. decentralized transaction processing, OLTP, and implementing and operating modern mobile or web-based front ends.\"},{\"question\":\"What core skills and concepts are introduced in “Deep Learning for Beginners”?\",\"answer\":\"The course covers neural networks and deep learning fundamentals such as convolutional layers, activation and loss functions, and regularization, along with practical topics like optimization, common practices, architectures, and unsupervised learning.\"},{\"question\":\"How are credits and weekly hours structured across the listed courses?\",\"answer\":\"The document provides hours per week (SWS) and ECTS for each course, such as 4 SWS / 6 ECTS for the legacy modernization course and 2 SWS / 2.5 ECTS for the deep learning course.\"}]","CLASSIC vhb - ONLINE COURSES - ENGLISH Winter Term 2026/27 - Registration and enrolment | PDF",1790856879,244]