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Anwendungsfach Enterprise Computing
Enterprise computing in the broadest sense refers to the use of information technology of any kind in business. While in the past, the focus was primarily on the introduction and operation of mainframes and servers, today the focus is increasingly on the organizational embedding and use of very different IT systems such as customer relation management systems or decision support systems. Hence, we speak of socio-technical information systems or human-task-technology systems.
Similarly, the Association for Computing Machinery (ACM) classifies "enterprise computing" as a sub-discipline of "applied computing" with sub-topics such as
- Business/IT Alignment & IT Governance
- Business Process Management (BPM) & Business Rules
- Enterprise Architecture & Enterprise Ontologies
- Enterprise Modeling & Reference Modeling
- Enterprise Resource Planning (ERP) Systems & Interoperability
- IT Architectures, Service-oriented Architectures (SOA), & Event-driven Architecture (EDA)
The focus of the education at the Department of Computer Science is on Business Process Management and the application of IT systems in business, for example with ERP systems.
Transitional Arrangements
The Anwendungsfach Enterprise Computing (EC) replaces the Anwendungsfach Dienstleistungsinformatik (DLI). For transitional arrangements, please contact the study coordinator of the Department of Computer Science.
You will find further informationen on the facuilty website.
Mandatory Modules
An introduction to business informatics as an independent discipline that explains and designs scientifically based socio-technical systems comprising human and machine components (subsystems) in business and society.
Module INF-BSc-AF-EC-108 (mostly identical with INF-BSc-308), Prof. Dr. Christian Janiesch
(currently in the SS, set to move to the WS in WS23/24)
Economic, organizational and technical fundamentals of business process management based on the process life cycle: process identification, business process modeling, process survey, process analysis, process improvement, process technology and process monitoring.
Module INF-BSc-AF-EC-124 (identical with INF-BSc-324), Prof. Dr. Christian Janiesch
(currently in the WS, set to move to the SS in SS23)
Concepts and techniques for analysis, design, modeling, and implementation of process-oriented software systems.
Module INF-BSc-AF-EC-125 (identical with INF-BSc-325), Prof. Dr. Jakob Rehof
8 credits from the following elective catalog:
- Module INF-BSc-224 Introduction to Machine Learning, Prof. Dr. Emmanuel Müller
- Module INF-BSc-225 Probabilistic Reasoning and Machine Learning, Prof. Dr. Stefan Harmeling
- Module INF-BSc-234 Mensch-Maschine-Interaktion, PD Dr. Frank Weichert
- Module INF-BSc-311: Aktuelle Themen der Dienstleistungsinformatik, Prof. Dr. Christian Janiesch
- Module INF-BSc-317: Datenbanken in der Praxis, Prof. Dr. Jens Teubner
- Module INF-BSc-318: Einführung in die Datenvisualisierung (EiDV), PD Dr. Frank Weichert
- Module INF-BSc-319: Grundlagen der Datenwissenschaft , Prof. Dr. Erich Schubert
15 credit points from the following elective catalog of the Department of Business and Economics:
- INF-BSc-AF-DLI-101: Markt und Absatz
- INF-BSc-AF-DLI-108: Rechnungswesen und Finanzen I
- INF-BSc-AF-DLI-109: Rechnungswesen und Finanzen II
- INF-BSc-AF-DLI-110: Wirtschaftstheorie I
- INF-BSc-AF-DLI-111: Wirtschaftstheorie II
- INF-BSc-AF-DLI-112: Produktion und Logistik I
- INF-BSc-AF-DLI-113: Produktion und Logistik II
- INF-BSc-AF-DLI-114: Wirtschaftsinformatik I
- INF-BSc-AF-DLI-115: Wirtschaftsinformatik II
- INF-BSc-AF-DLI-116: Planung, Entscheidung und Wertschöpfung
- INF-BSc-AF-DLI-117: Management, Technologie und Innovation I
- INF-BSc-AF-DLI-117: Management, Technologie und Innovation II
Mandatory Modules
Information on the Anwendungsfach in the Master studies will follow shortly. Please refer to the Anwendungsfach DLI for the time being.