CLASSIC vhb - ONLINE COURSES - ENGLISH Winter Term 2026/27 - Registration and enrolment

Oct 1, 2026

Uploaded by SANS

CLASSIC vhb ONLINE COURSES (ENGLISH) Winter Term 2026/27 provides an overview of multiple university-level online course offerings under Virtuelle Hochschule Bayern. 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 provided.

LanguageEnglish

CategoryExam

FormatPDF

Pages97

Reading Time4 h 4 min

AccessFree to download

Legacy Systems Architectures and Modernisation for Digital Transformation

Abstract

Course structure

Exam

Deep Learning for Beginners

Abstract

Course structure

Exam

CLASSIC vhb ONLINE COURSES ENGLISH Winter Term 2026/27 Registration and enrolmentat https://www.vhb.org Published by Virtuelle Hochschule Bayern (vhb)Bavarian Virtual University Office: Luitpoldstraße 596052 BambergGermany Fon +49 951/863-3800 Fax +49 951/863-3805 Email: info@vhb.org As of October 2026 Subject Group Computer Science ................................................................................................................................... 3 Economic Sciences................................................................................................................................. 11 Engineering............................................................................................................................................ 43 Health Care / Health Management ....................................................................................................... 50 Humanities and Cultural Studies ........................................................................................................... 57 Information Systems ............................................................................................................................. 58 Key Skills ................................................................................................................................................ 64 Languages .............................................................................................................................................. 71 Medicine / Medical Science .................................................................................................................. 85 Natural Sciences .................................................................................................................................... 89 Social Sciences....................................................................................................................................... 93 Social Work............................................................................................................................................ 94 Teacher Education................................................................................................................................. 95 Prof. Dr. Anna Kruspe Hochschule für angewandte Wissenschaften München(Hochschule München University of Applied Sciences) Abstract More information will be available soon Course structure More information will be available soon Hours per week / Credits 4 SWS / 6 ECTS Exam More information will be available soon Business Application Re-Engineering # Legacy Systems Architectures and Modernisation for Digital Transformation Prof. Dr. Philipp Brune Hochschule für angewandte Wissenschaften Neu-Ulm(Neu-Ulm University of Applied Sciences) # Abstract The 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: • Deepen your existing expertise in computer science and information technology with regard tothe requirements and relevant technologies of enterprise computing and digital transformation. • 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. • Understand, evaluate and be able to apply traditional and new approaches (Blockchain, DLT) foronline t

FAQs

What topics are covered in the course “Legacy Systems Architectures and Modernisation for Digital Transformation”?

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.

What core skills and concepts are introduced in “Deep Learning for Beginners”?

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.

How are credits and weekly hours structured across the listed courses?

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.

Oct 1, 2026

Uploaded by SANS