Big Data, Software Systems, Cloud Computing

About This Course

Big data and cloud computing are leading edge IT technologies that team together as key enablers for today’s IT industry with its emerging AI-based solutions.

In this module, students learn about the basics and advanced topics of big data and cloud computing.

We look into the interplay of existing big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.

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Learning Objectives

Remembering the motivation, basics and terminology of big data and cloud computing.

Understanding the principles of distributed data processing.

Applying big data and cloud computing APIs and tools.

Analyzing the role of cloud providers and the business impact of cloud computing.

Evaluating cloud-based system architectures.

Creating the next generation of AI and data processing solutions.

Study Programs

This course is mandatory for the following study programs:

MBA Digital Technologies

MBA Digital Transformation

M.Sc. Advanced Digital Reality

M.Sc. Applied AI

M.Sc. Cybersecurity

M.Sc. Digital Leadership

This course is offered as an elective for the following study programs.

The course is mandatory for all programs and can, therefore, not be selected as an elective.

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

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General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (40h/60h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: tbd

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Prof. Dr. Dirk Draheim

Since October 2024, Dirk serves as senior researcher at the German University of Digital Science in Potsdam, Germany. Dirk is full professor of information systems and head of the Information System Group at Tallinn University of Technology, Estonia. Dirk holds a Diploma in computer science from Technische Universität Berlin, a PhD from Freie Universität Berlin, and a habilitation from the University of Mannheim. From 2006-2008, he was area manager for database systems at the Software Competence Center Hagenberg, Austria. From 2008-2016 he was head of the data center of the University of Innsbruck and, in parallel, Adjunct Reader at the Faculty of Information Systems of the University of Mannheim. Dirk is co-author of the Springer book “Form-Oriented Analysis” and author of the Springer books “Business Process Technology”, “Semantics of the Probabilistic Typed Lambda Calculus” and “Generalized Jeffrey Conditionalization”. His research interest is the design and implementation of large-scale information systems.