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Department of Business Information Systems

Paderborn, NRW, Germany
Information Systems

Summary

Our Mission: Designing Business Information Systems for Smart Services

The team at the chair for Business Information Systems researches and teaches the design and the successful application of information systems in companies and other organizations. We focus on the design of innovative concepts and information systems for digital services. As our world is becoming more digitized, these so-called Smart Services increasingly permeate and transform our society. Smart Services enable companies to innovate their business models, tap into new revenue streams and simultaneously increase their operational efficiency with information systems.

Our research: Relevant and Rigorous

Our research is focused on the design of innovative concepts and information systems. In (joint) research projects, which are publicly or privately funded, we develop innovative, relevant and applicable solutions in collaboration with national and international companies, administrations and research institutions.

Building on our experience from a long history of service research projects and our contacts to leading companies, we analyze and design business information systems for smart services. We contribute to designing new methods for Business Process Management, such as in the EU project BISE_BPM. 

We publish our research results continuously in leading peer-reviewed journals and conference proceedings, but also present them to the broader public in workshops and on fairs.

Our teaching: Scientific and Applicable

Our teaching for the bachelor's degree course Information Systems and also for the two master's degree courses Information Systems / Management Information Systems (MIS) focuses on business process management, information modeling and the design and application of Business Information Systems (esp. ERP-Systems) as socio-technical systems. In addition, we offer special courses on designing, selling and delivering smart services.

Our lectures comprise rigorous methods and applicable knowledge from various industrial sectors (including IT Industry, HighTech Industry and the Service Economy in general). In line with our view on Information Systems as an applied research discipline, this dual strategy enables our students to apply methods rigorously and to design Information Systems for the benefit of digital companies and administrations – considering their properties as socio-technical systems.

Complementing the lectures, we motivate our students to conduct their own research activities in an early stage of their careers. We enable them to develop their theses autonomously and according to high scientific standards. Inspired by the goal to embed our teaching into current research activities, our lectures, seminars and theses are related to the research projects currently conducted in our workgroup. Through this, we strive to keep our lectures at the edge of current information systems research and offer students the opportunity to participate in our research activities. In our seminars and projects, we impart and teach soft skills, including to successfully cooperate in project groups and to prepare and convey scientific presentations.

We offer our students certification courses such as "TERP 10: SAP ERP - Integration of Business Processes" as key qualifications to accompany their studies.

Our Community: Globally Networked and Locally Embedded

We establish and encourage interdisciplinary and international research projects. As information systems researchers, we fulfil a boundary-spanning role between computer science, business administration and engineering and strive to advance the further development of these disciplines. Embedded into the German-speaking and international research communities on Information Systems / Wirtschaftsinformatik, we take an active role in further developing these communities. We network with companies in Germany and particularly in Ostwestfalen-Lippe to exchange ideas and knowledge in joint projects. Please contact us for more details!

Bachelor Programs

The combination of academic and occupational education enables graduates to work in development related job roles, application related job roles as well as intermediaries between the two in the area of information systems, such as:

  • Information manager
  • Systems analyst
  • IT ORG
  • Software developer
  • Database specialist
  • Strategic and IT Consulting

Master Programs

The M.Sc. program in Business Computing at Paderborn University covers topics in Information Systems, Computer Science, Business Administration and Economics. The program is scientific and at the same time focused on applying Information Technology in real-life business settings. It is attractive for all students who look for a distinguished and unique focus within their studies.

There are several reasons for enrolling in the M.Sc. program in Information Systems at Paderborn University, including:

  • Graduates in Business Computing are in great demand in industry and science.
  • According to current and independent rankings, the Business Computing program at Paderborn University is one of the best ones in Germany, especially its practical relevance is highly praised.
  • Paderborn is the city with the most IT companies per citizens and the highest number of start-up companies in Germany.
  • Paderborn is a young and dynamic city. The cityscape is characterized by the university and its students.

Furthermore, the graduation enables students to enroll in a Ph.D. program.

The goal of the master's program Management Information System (MIS) with the degree Master of Science (M.Sc.) is the training and qualification of interdisciplinary professionals who understand the capabilities of information and communication systems in business and administration and are able to use latest technologies to achieve business objectives and to design the necessary change management in organizations. This is achieved by a mix of skills from business information systems and economics. A wide range of specializations in the subject of Management Information Systems is offered to students: Business information systems, information management and E-finance, innovative production and logistics as well as decision support systems and operations research. The master program MIS is open to all students with a relevant bachelor's degree in business information systems, or in economics with corresponding deepening in business information systems.

The master's degree MIS is distinguished by its strong scientific orientation with a high practical relevance, specific thematic priorities as well as high flexibility of the study design. The courses provide concepts and methods, which are relevant to prevailing trends. Moreover, the methods are illustrated by means of current products and systems.
Thereby, the students are able to apply these concepts and methods to applications of business information systems. After finishing the master’s degree, students can work in various professional fields, for instance, as information managers, project managers, IT-controller, system analysts, IT-organizers or process organizers. Increasingly, they are sought-after in functional areas such as marketing, production or materials management. Another important focus of potential occupational activity is management consultancy within the field of strategic IT-decisions.

Courses

Bachelor of Science Business Information Systems

Lecture

The topics of this lecture are central aspects of Data Mining, like intelligent data analysis, the data mining process and supervised learning (especially regression- and classification-problems) . On the part of algorithms selected models will be closely discussed, like linear and logical regression, decision trees, support-vector-machines or simple variants of ensemble-models.

 494
Lecture

A project is a complex one-time endeavor geared to solve a unique and complex organizational and/or technical problem. Projects need to be managed in a structured and efficient way to reach the defined objectives within the constraints of time, quality, cost, scope, and risk. Project management is an essential task in most organizations, including methods and information systems that support the successful management of a project along its entire lifecycle.

 315

Master of Science Business Computing

Lecture

Metaheuristics are widely used in industry and academia to solve large optimization problems that are too difficult to solve using optimal approaches like mixed-integer programming or dynamic programming. This course will will investigate well-known methods like genetic algorithms, ant colony optimization, variable neighborhood search, large neighborhood search, simulated annealing and tabu search, as well as lesser known approaches such as adaptive decompositions and hybrid approaches. Furthermore, the course will show how to effectively and efficiently model optimization problems within metaheuristic frameworks, paying special attention to details like initial solution construction, neighborhood design, incremental objective evaluation, and overall software system considerations. 

This course will combine student presentations on metaheuristic topics from the literature with paper presentations and a project in order to provide competence in both the breadth of metaheuristic research, as well as practical knowledge about the implementation of metaheuristics on real problems.

 424
Lecture

The module teaches advanced methods, techniques and applications of operations research, in particular in the field of linear continuous and integer programming. In the practical part students acquire skills for modeling and analysis of complex decision-making situations. Moreover, students learn how to select appropriate solution methods, create software for analyses, and identify solutions of the developed models.

 412
Lecture

This module teaches advanced methods, techniques and applications of operations research. The course focuses on the modeling of real-world routing and network problems using both mathematical programming and constraint programming approaches. Metaheuristics are also introduced as a way of solving large scale industrial problems. The course contains a practical component in which students analyze, model and solve complex decision problems by developing their own solution approaches using state-of-the-art techniques.

 386
Lecture

Based on the content of the undergraduate course Data Mining, this course focuses on the prediction of complex structures such as ordered lists (lists of recommendations, results, ...) and time series. Among other topics, support vector machines as well as factorization machines are discussed. Other important aspects of this lecture are the concepts and the effects of stochastic learning processes and regularization strategies.

 531

Master of Science Management Information Systems

Lecture

Metaheuristics are widely used in industry and academia to solve large optimization problems that are too difficult to solve using optimal approaches like mixed-integer programming or dynamic programming. This course will will investigate well-known methods like genetic algorithms, ant colony optimization, variable neighborhood search, large neighborhood search, simulated annealing and tabu search, as well as lesser known approaches such as adaptive decompositions and hybrid approaches. Furthermore, the course will show how to effectively and efficiently model optimization problems within metaheuristic frameworks, paying special attention to details like initial solution construction, neighborhood design, incremental objective evaluation, and overall software system considerations. 

This course will combine student presentations on metaheuristic topics from the literature with paper presentations and a project in order to provide competence in both the breadth of metaheuristic research, as well as practical knowledge about the implementation of metaheuristics on real problems.

 424
Lecture

The module teaches advanced methods, techniques and applications of operations research, in particular in the field of linear continuous and integer programming. In the practical part students acquire skills for modeling and analysis of complex decision-making situations. Moreover, students learn how to select appropriate solution methods, create software for analyses, and identify solutions of the developed models.

 412
Lecture

This module teaches advanced methods, techniques and applications of operations research. The course focuses on the modeling of real-world routing and network problems using both mathematical programming and constraint programming approaches. Metaheuristics are also introduced as a way of solving large scale industrial problems. The course contains a practical component in which students analyze, model and solve complex decision problems by developing their own solution approaches using state-of-the-art techniques.

 386

People

Have you met...
People

Daniel Beverungen is a Professor for Information Systems at the University of Paderborn, Germany. His main research interests comprise service science management and engineering, business process management, information modelling, and the socio-technical design of information systems. His work has been published in peer-reviewed academic journals (including IEEE Transactions on Engineering Management, Business & Information Systems Engineering and Government Information Quarterly) and presented at all major Information Systems conferences. In addition, Daniel was involved in developing various industry standards. He is a member of the editorial board for the journal Business & Information Systems Engineering, a guest editor for the Information Systems Journal and for Information Systems and E-Business Management, and has been serving as a chair, associate editor, and reviewer for various academic conferences and journals. Daniel is the president-elect of the Special Interest Group on Services (SIGSVC) in the Association for Information Systems (AIS), representing some 200 researchers from all three regions of the AIS.

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Editors

Have you met...
People

Daniel Beverungen is a Professor for Information Systems at the University of Paderborn, Germany. His main research interests comprise service science management and engineering, business process management, information modelling, and the socio-technical design of information systems. His work has been published in peer-reviewed academic journals (including IEEE Transactions on Engineering Management, Business & Information Systems Engineering and Government Information Quarterly) and presented at all major Information Systems conferences. In addition, Daniel was involved in developing various industry standards. He is a member of the editorial board for the journal Business & Information Systems Engineering, a guest editor for the Information Systems Journal and for Information Systems and E-Business Management, and has been serving as a chair, associate editor, and reviewer for various academic conferences and journals. Daniel is the president-elect of the Special Interest Group on Services (SIGSVC) in the Association for Information Systems (AIS), representing some 200 researchers from all three regions of the AIS.

 529
 
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