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Institute for Economics and Information Systems

Hildesheim, Lower Saxony, Germany
Information Systems

Summary

The institute for Economics and Information Systems consists of the following groups:

  • Business Administration and Operations Research (Prof. Dr. Julia Rieck)
  • Information Systems and Enterprise Modeling (Prof. Dr. Ralf Knackstedt)
  • Economics and its Didactics (Prof. Dr. Athanassios Pitsoulis)

Bachelor Programs

The bachelor program of Information Systems at the University of Hildesheim aims to prepare students for the activities of a computer scientist. Considering the dynamic development of the occupational field, the program ensures the acquisition of a sound, future-oriented basic knowledge.

The students of the bachelor program of Information Systems at the University of Hildesheim acquire competencies in the following subjects:

  • Information Systems,
  • Computer Science,
  • Business Economics,
  • Quantitative Methods.

Further, the students get practical insights into typical tasks of computer scientists, participating in a 10-week business internship. To do so, the students can choose from a large network of more than 30 partner companies. The bachelor thesis can also be carried out in cooperation with these partner companies.

Master Programs

Based on the bachelor program of Information Systems, the master program of Information Systems at the University of Hildesheim aims to stabilize and expand the knowledge in Information Systems.

The students of the master program of Information Systems at the University of Hildesheim have the chance to extend their knowledge in the following subjects:

  • Information Systems,
  • Computer Science,
  • Business Economics,
  • Quantitative Methods.

Further, the program is divided into three sectors research methods, specialisation and free selectable areas. In the specialisation sector, the students have to choose three in-depth studies out of five. The advantage of this master course is the interface between Business Informatics and Business Economics, which calls attention to most of corporations in this area.

In addition, the master thesis can be carried out in cooperation with partner companies. To do so, the students can choose from a large network of more than 30 partner companies.

Courses

Bachelor of Science in Information Systems (B.Sc.) (Wirtschaftsinformatik)

Lecture

The lecture communicates techniques of business process management. In particular, the BPM lifecycle is explained and supporting techniques among these phases are shown. These are for example different modeling languages (EPC, BPMN, PN), process enhancement, process mining, as well as up-to-date topics of interest in the field of BPM, such as AR/VR, Gamification, etc.

 303
Lecture

In this course, students recognize the importance and complexity of Digital Transformation in different sectors and disciplines. The course is organized in the form of a lecture series (“Ringvorlesung”), in which experts from industry and science are invited to present their respective view, experiences, and best practices on a topic related to digitalization in a particular field. These fields include, for instance, Innovation Management, Production, Banking, Insurance, IT-Security, Governance, and Sustainability.

 30
Lecture

Building on various methodical, functional, and technical frameworks, the course teaches basic concepts and approaches for modeling, analyzing, and managing enterprise information systems, especially including perspectives on the underlying processes, data structures, and key functional areas of corresponding systems. Amongst other things, the course includes a comparison and detailing of typical problems and solutions as well as a discussion of roles and interfaces within the individual value chains of retail information systems, production planning and control systems, analytical information systems, and customer relationship management systems.

 199
Lecture

The course covers the following aspects:
1. Introduction: ERP systems as the central information system of a company (definition of terms, historical development, standard scope of functions: operational and dispositive as well as supporting and strategic tasks connected to the value chain)
2. Architecture and alignment of ERP systems (software architecture, operating models, example module: goods management system)
3. Basics of the selection of ERP systems (standard vs. individual software, market overview, selection process, open source solutions)
4. Implementation of ERP systems in enterprises

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Other course

The students work in a partner company or a partner organization on a question of information management and/or information technology. They work on an essential practical task in the team of the company. In this way, they improve their methodical and analytical skills by practical application. This enables them to better assess the practical conditions for the use of their competencies. They are able to independently develop solutions on the basis of their level of knowledge and to work their way into concrete techniques within the company.

 186
Lecture

The course provides the application of model-based and problem-solving techniques of business informatics. Further, it integrates information technology and business administration. Students get to know model types which the students can apply correctly. In addition, the students are able to deal with specific software tools in order to solve problems. They develop first technological competences in the field of database systems.

 205
Lecture

In this course, students build knowledge of the most important research methods in the Information Systems discipline. Furthermore, students gain awareness of the importance of rigorously conducting and documenting the research process and receive an overview of scientific projects in research groups related to their area of study.

They learn

  • to utilize relevant software systems and literature databases in scientific works,
  • advanced formal knowledge of writing scientific works,
  • basic competencies of implementing the communicated research methods.
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Other course

During the laboratory, students have the opportunity to deal with current technologies and tools of process modeling. In small groups, a project is carried out independently in order to further develop competencies in the field of process modeling and to consolidate what has been learned.

 29
Lecture

This lecture covers the basics of production and logistics processes, material requirements planning, order quantity and batch size planning, scheduling and capacity planning in individual and small series production, machine occupancy planning in series production, distribution and transport planning, round trip planning, postman and route planning problems, lean management as well as warehouse operation and quality handling.

 34

Master of Science in Information Systems (M.Sc.) (Wirtschaftsinformatik)

Lecture

The students can apply advanced aspects of enterprise modeling for practical applications, expanding their methodological competencies in enterprise modeling. For instance, students can acquire new modeling techniques independently and impart them to others. Further, they can compare alternative modeling approaches and evaluate them.

 259
Lecture

Contributing to sustainability presumes the development of innovative business models that meet ecological and social concerns in addition to its economic obligations. The course addresses methodical skills for systematic visualization and description of business models as well as for the analysis of business models (e.g., through modeling techniques and software support). In doing this, as a first stage, current business model modeling languages are critically reflected in order to explore to what extent they already meet economic, ecological, and social objectives of sustainability. Drawing on the results, in a second stage, new approaches and concepts that seek to support the creation of new and reflection of existing business models will be developed and demonstrated.

In summary, the course teaches the basics for the representation of business models, sustainable development, and analysis of business models as well as focus on the collaborative design of new solutions for facilitating the reflection of business models and the derivation of appropriate strategies for evaluating these new solutions. 

 212
Lecture

In this course, students recognize the importance and complexity of Digital Transformation in different sectors and disciplines. The course is organized in the form of a lecture series (“Ringvorlesung”), in which experts from industry and science are invited to present their respective view, experiences, and best practices on a topic related to digitalization in a particular field. These fields include, for instance, Innovation Management, Production, Banking, Insurance, IT-Security, Governance, and Sustainability.

 23
Other course

In this course, the students will develop a business model idea using the so-called design thinking approach. In this way, the participants will learn methods with which innovations can be conceived in teamwork and in several iterations. These methods will be applied in a concrete project together with practical partners.

 234
Lecture

Contents of the lecture are production and logistics systems, factory planning, machine allocation planning, job shop and flow shop, reloading problems, multiple goods flow problems, flow problems with boundary conditions, time-tabling in freight forwarding networks, traveler and route planning problems as well as load planning, warehouse operation, and stock picking.

 29
Lecture

Project representation using activity networks, time analysis (estimating the project duration in a deterministic setting), resource management, i.e. resource leveling (leveling the use of the resources over time subject to a project deadline) and resource-constrained-project scheduling (scheduling the activities subject to the various precedence and resource constraints in order to minimize the project duration and other objective functions).

 24
Course

The lecture deals with questions of linguistic corpus preparation and corpus analysis. Different computational linguistic methods are addressed. The results of the corpus analysis and interpretation are related to concrete questions of business informatics.

 14
Lecture

Drawing from seminal research papers and recent research projects of the lecturers, the course teaches advanced research methods and theories that are popular in Information Systems (IS) research. Students get in contact with various research designs, research questions, and research outcomes and are instructed to judge existing research as well as improve their own writing and presentation skills. The course particularly deals with the differences and dependencies between behavioral research and design-oriented research, the relevance and types of theories in/for IS research in general as well as selected theories as a lens to analyze and explain IS-related phenomena, theory development, and theory testing.

 206
Seminar

Students learn to familiarize themselves independently with an advanced research topic and to develop a seminar thesis as well as a presentation that fulfill advanced requirements in terms of both, form and content. The independent choice of a research method and the development and execution of a research design based on this choice is a vital building block of this course.

Topics of the seminar theses and presentations change every semester and typically cover recent research in the theme covered by the specialization module.

 185
Seminar

Students learn to familiarize themselves independently with an advanced research topic and to develop a seminar thesis as well as a presentation that fulfill advanced requirements in terms of both, form and content. The independent choice of a research method and the development and execution of a research design based on this choice is a vital building block of this course.

Topics of the seminar theses and presentations change every semester and typically cover recent research in the theme covered by the specialization module.

 209
Lecture

With the progressing tertiarization, the students’ need to develop analytical skills and development skills for the (IT-supported) engineering and management of services as a fundamental skill increases. Using a functional framework as a basis, the course teaches concepts, analytical lenses, methods, and tools for developing new services and analyzing and adapting existing services against the background of new customer requirements and technological innovations. The course starts with outlining the basics of service engineering and service management that, amongst other things, include the differentiation of products and services, approaches for developing services and bundles of products and services, methods and tools for strategical service-related decisions, the conception of service-based business models and service networks, taking a resource-view on service management as well as modelling and analyzing service quality and service productivity. On top of this, the course deals with influences on service engineering and service management that are derived from recent research. While the lecture focuses on teaching the basic concepts and theoretical lenses, the accompanying exercise focuses on the application and further deepening mostly based on real-world cases.

 183
Other course

Studierende erarbeiten im Team einen Lösungsbeitrag für eine umfangreiche Problemstellung. Unabhängig von der konkreten Aufgabenstellung werden folgende Inhalte adressiert:


• Iterative Formulierung, Überprüfung und Revision von Forschungsfragen

• Iterativer Entwurf und kritische Reflexion von Forschungsdesigns

• Grundlegende und fortgeschrittene Forschungsmethoden

• Methoden des Projektmanagements

• Aufbau, Gestaltung und Durchführung von Zwischen- und Abschlusspräsentationen

• Planung, Leitung, Moderation von Gruppensitzungen

• Mitlaufende Projektdokumentation

Weitere Inhalte sind abhängig von der inhaltlichen Ausgestaltung des Projektseminars.

 12
Lecture

The following aspects will be discussed in the lecture:
1. Basics and definitions of SCM: definition of terms, development stages of SCM, differentiation from related terms, tasks and goals, opportunities and risks of SCM, areas of SCM, development of a logistics network
2. SCM basic concepts: Management concepts and their influence on SCM (market and resource focusing, total quality management, business reengineering, time-based competition), forms of cooperation in logistics networks (vertical cooperation, horizontal cooperation)
3. Logistics strategies in SCM: supply strategies (efficient consumer response, procurement strategies), warehousing strategies (tasks and objectives of warehousing, strategies for the layout of warehouse systems, strategies in operative warehousing), distribution strategies (SCM at individual customer level, optimisation potential of packaging logistics, development of the transport chain), disposal and recycling strategies

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