- C19 AI and Security (Modul)
- AI and Security (Vorlesung) Laskov
- C19 Autonomous Tools, Design, and Innovation (Modul)
- Autonomous design toolas are fundamentally changing how designers work across various industries. Autonomous design tools make independent design decisions and in, some cases, execute entire design processes. They employ technologies typically associated with artificial intelligence, including machine learning, pattern recognition, meta-heuristics, and evolutionary algorithms.
Autonomous design tools allow for the generation of a variety of diverse design artifacts, including next-generation computer chips, software for specific domains, three-dimensional virtual worlds, and large amounts of content for video games and feature films. The applications for such autonomous design tools are also expanding to other industries, such as mechanical engineering, aerospace, and architecture.
Instead of creating artifacts by directly manipulating their representations, designers select tools, decide on design parameters, set values for these parameters, and evaluate and learn from the analysis of the results the tools produce. Design work in such situations involves intense interaction with autonomous tools. Designers need to be mindful of the logic, capabilities, and limitations of the tools, and the algorithms these tools employ, and find ways to make sense of and deal with the often unanticipated outputs of such tools.
The course addresses this increasingly important role of autonomous design tools by- discussing the conceptual foundations of autonomous design tools;
- discussing how autonomous design tools change the nature of work and the role of human designers;
- analyzing examples of using autonomous tools in design practice;
- providing hands-on experience in agent-based modelling for students to simulate the behavior of these tools; and
- providing hands-on experience in using autonomous design tools for the design of virtual worlds.
- Autonomous Tools, Design, and Innovation (Vorlesung) Gau
- C19 Business Process Analysis (Modul)
- Business Process Analysis focuses on process analysis, covering approaches and methods for designing, analysing, and simulating processes in organisations. The course covers four primary topics:
- Introduction to process analysis
- Process modelling and design
- Process flow analysis
- Process simulation
- Business Process Analysis (Vorlesung) van der Aa
- C19 Business Process Management (Modul)
- Business Process Management provides an introduction to fundamental concepts, frameworks, models, theories, and methods in process management and covers the operation, improvement, and innovation of business processes. Business Process Management (BPM) is one of the core topics of the degree programme, so the course also provides a basis on which students can choose their electives. The course covers eight primary topics:
- Business process operations
- Business process change
- Strategic alignment
- Business process governance
- Quality management
- Six Sigma
- BPM skills
- Organizational culture
- Business Process Management (Vorlesung) vom Brocke
- C19 Business Statistics (Modul)
- Business Statistics covers statistical methods that are used to support decision-making in business contexts, so it also provides a methodological foundation for the students' master's thesis projects. The course builds on the basic concepts of statistical testing and estimation theory that are usually taught in bachelor’s programmes. The course covers five primary topics:
- Graphic and numeric characterizations of random variables and their distributions
- Framework and basic applications for testing hypotheses and estimating parameters
- The ordinary least squares (OLS) method
- Simple linear regression, including parameter estimation, diagnostic plots, hypothesis testing, predictions, and model specifications using log-transformations
- Introduction to the software package R
- Business Statistics (Vorlesung) Frick
- C19 Data Management (CPE) (Modul)
- Data Management covers the modern data-management cycle, from the collection of data from diverse sources to the preparation of data for data-driven applications. Students learn how to handle various data formats, how to assess and improve data quality, and how to store and process data using SQL, NoSQL, and Hadoop technologies. The course covers eight primary topics:
- Modern data-management requirements
- Database system architecture
- Diagnosing and handling data quality problems
- Relational databases (SQL)
- Hands-on labs with MySQL
- Concurrency control techniques
- NoSQL databases (e.g., MongoDB)
- Apache Hadoop (HDFS, MapReduce)
- Data Management (Vorlesung) Stein
- C19 Data Visualisation (Modul)
- Data Visualisation (Vorlesung) Riehle, Humpert
- C19 Digital Entrepreneurship (MSc IS 19) (Modul)
- Digital Entrepreneurship covers the intersection between digital technology and new venture creation, i.e., com-pany start-up activity. It addresses venture creation of digital artefacts as the core market offering (e.g., software, hardware, smart devices), digital technology as enablers of new venture creation (e.g., 3D printing, crowdfunding, platforms such as appStore), and venture creation in technology-intensive contexts (e.g., BioTech, IT Healthcare, FinTech). The course covers six primary topics:
- Forms and processes of entrepreneurship
- Business planning for new ventures
- Digital technologies as enablers and triggers for entrepreneurial activity
- Digital technologies as market offerings of emergent ventures
- Start-up activity in technology-intensive sectors
- Digital Entrepreneurship (MSc IS 19) (Vorlesung) Brauer
- C19 Digital Innovation (Modul)
- Digital Innovation covers the fundamentals of digital innovation and the development and implementation of novel and original solutions in which the innovation process, its outcomes, or the ensuing organisational and social transformation is embodied in or enabled by digital technologies. Digital Innovation is one of the core topics of the degree programme, so the course also provides a basis on which students can choose their electives. The course covers six primary topics:
• Fundamental properties of digital technologies and digital innovation
• Organising for digital innovation
• Digital platforms and ecosystems
• Digital innovation and capital creation
• Digital business models
• Digital entrepreneurship- Digital Innovation (lecture) (Vorlesung) Kranz
- C19 Emerging IT Topics (Modul/LV/Prüfung)
- Emerging IT Topics addresses recent technological trends and developments in research and business, so its content can be adapted quickly to the job market’s emerging needs. Accordingly, the course content changes from
semester to semester.- Emerging IT Topics (Seminar) Laskov, Pekaric, Gau, van Giffen, Casanova Flores
- C19 Information Systems Development (Modul/LV/Prüfung)
- Information Systems Development provides an introduction to programming including web frameworks that can be used in online environments such as e-commerce platforms or blog systems. The course covers six primary topics:
- Introduction to scripting / programming
- Software / programme development
- Web technologies and web development
- Web applications and their frameworks
- Programming using existing frameworks
- Project: Web platform
- Information Systems Development (Seminar) Apruzzese
- C19 Management Information Systems (Modul)
- Management Information Systems (Vorlesung) Schenk
- C19 Master's thesis (Modul)
- In their Master’s Thesis, students use scientific methods and work in accordance with standards of scientific writing. The master's thesis is typically related to one of the four subject areas that constitute the core of the curriculum (i.e., Business Process Management, Data and Application Security, Data Science, and Digital Innovation).
- Master's thesis (Thesis) vom Brocke, Apruzzese, Laskov, Schneider, Hacker
- Presentation and Defence (Sonstiges) Laskov, N.N. (WI)
- C19 ML DevOps and Advanced ML Topics (Modul)
- ML DevOps and Advanced ML Topics (Vorlesung) Schneider
- C19 Network and System Security (Modul)
- Network and System Security covers advanced security mechanisms in computer networks and systems and attacks against information systems. The course focuses on eight primary topics:
- Essential network-security protocols
- Attacks against common network protocols
- Security issues in web applications
- Security mechanisms in operating systems
- Advanced exploitation techniques
- Network and System Security - Lecture (Vorlesung) Laskov, Pekaric
- C19 Process Mining (Modul)
- Process Mining covers conceptual foundations, methods, and technologies for analysing business processes with the help of digital trace data that stems from information technology. In particular, students learn how to mine digital trace data. The course focuses on three primary topics:
- Petri-net foundations of process analysis
- Process mining algorithms
- Process mining tools and applications
- Process Mining (Vorlesung) van der Aa
- C19 Project Seminar - no major (Modul/LV/Prüfung)
- In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.
- Project Seminar - no major (Seminar) Schneider, Laskov, van Giffen
- C19 Project Seminar AI (Artificial Intelligence) (Modul/LV/Prüfung)
- In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.
- C19 Project Seminar BPM (Business Process Management) (Modul/LV/Prüfung)
- In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.
- C19 Project Seminar DAS (Data and Application Security) (Modul/LV/Prüfung)
- In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.
- C19 Project Seminar DI (Digital Innovation) (Modul/LV/Prüfung)
- In Project Seminar, students analyse a real-world case from a specific industry. Students divide into groups according to their preferences and work on one of four cases through the lens of process management, data and application security, data science, or digital innovation. The course topics change from semester to semester.
- C19 Research Methods (Modul)
- In Research Methods, students learn to identify pertinent research questions, conduct systematic literature reviews, apply appropriate research methods, and report on their results. The course covers nine primary topics:
- Introduction to scientific research
- Scientific writing
- Ethical standards
- Literature reviews
- Qualitative research
- Quantitative research
- Mixed-methods research
- Design science research
- Theories used in Information Systems research
- Research Methods (Vorlesung) Laskov, Casanova Flores, Apruzzese, Schenk, Chandra Kruse
- C19 Research Seminar (Modul/LV/Prüfung)
- In the Research Seminar course, students learn to apply in practice what they learned in the Research Methods course. The seminar covers issues related to identifying and formulating research questions, choosing a suitable research design to use in answering these questions, evaluating the feasibility of a planned research study, and writing research proposals. Together with faculty, students develop research proposals (so-called “exposés”) for their master’s theses
- C19 Web-based Information Systems (Modul)
- Web-based Information Systems (Vorlesung) Apruzzese
- C20 Startup Management 2 (CPE) (Modul)
- Opportunity Recognition & Business Models
- Gelegenheiten systematisch erkennen und nutzen.
- Market-Pull, Technology-Push und Blue Ocean.
- Opportunity Recognition als Prozess.
- Systematisierung von Geschäftsmodellen und den Bestandteilen.
- Analyse und Bewertung von Geschäftsmodellen.
- Anwendung von Big Data Algorithmen zu Identifikation neuer Märkte und Technologien.
- Opportunity Recognition & Business Models (Vorlesung) Brecht