Hamburg’s Institute of Information Systems has its premises at the university’s main campus in the beautiful and vivacious Grindel-quarter.
The Institute`s university coursework focuses on all levels of students from business administration, economics, mathematics, computer science, and industrial engineering. Besides Introduction to Information Systems, courses deepen the information systems education with various topics incl. project management, planning, and decision analysis. The goal of the education is to develop the ability to analytically work through complex interrelations in appropriate areas, and skills to generate creative solution approaches through sound methodological knowledge. In a joint effort with the Department of Computer Science the Bachelor Degree (B.Sc.) in Information Systems is running since 2006 with the first students successfully graduating in 2009. Since winter 2009 the Master Degree (M.Sc.) has been set up where students have the possibility to specialize in either Management of Information Systems or Computational Logistics, something quite unique in Germany. Moreover, interested high potentials can decide to pursue further for PhD or the habilitation degree.
In 2002 the information systems degree of the University of Hamburg, together with the business administration degree, was among the lowest ranked degrees in their class according to the CHE-Ranking. As of 2005 and 2009 the information systems degree jumped up to a middle place and even became one of the top ten information system degrees in Germany according to the well-known Handelsblatt Ranking. The latter research ranking also reveals that Prof. Voß is among the Top 25 of several thousand business professors within Germany, Austria and Switzerland (as of 2005, 2009, 2012 and 2015). His current overall rank is number 13.
The master in Information Systems deepens the students' skills and enables them to
- autonomously apply their knowledge in information systems as well as its connected topic fields in business administration and computer science,
- classify relevant theories and concepts of each of the chosen major fields as well as to use tools and methods in order to overcome the topic-relevant issues
- analyze and solve IT-systems- and information technology-based development and management problems in logistics arising from the combination of application-oriented and conceptual knowledge
- act responsibly, especially regarding the impacts of technological change as well as the impact of using IT-systems in society
Graduates from the master in Information Systems possess proficiencies in the topic fields Modelling of Business Processes and IT-systems, architecture and design of IT-systems, business development and integration of planning functionality in information and communication systems.
The master in Information Systems conveys deepened skills in working in a research-oriented way and scientifically.
- national and international traffic infrastructure (macro-logistics)
- stochastic warehousing as well as production and operations planning in the beverage industry (internal logistics of industrial businesses)
- multi-modal distribution in the extractive industry
- KEP-service provider (transport networks, store networks)
- aviation logistics
- maritime transportation
- concept and structure of APS
- introduction to single modules
- introduction to modules and solution approaches, which are deployed in the modules of an APS
- deployment of an APS within a supply chain (case study)
- computer training with an APS (partly autonomous)
Varying topics from business computer science which are suitable for acquainting both current research topics as well as current methods and tools in information systems are treated. This may contain selected aspects of a given topic field (such as e.g. modeling, decision support, telecommunication systems). Alternatively, the contents of current conferences and anthologies about information systems may be discussed in depth.
Each business process produces a plurality of data. If, for example, a book is ordered from Amazon, this transaction provides data on the customer, the ordered book, what other books were possibly considered before the actual order, the time of the order, the chosen method of payment, etc. Due to the consistent support of business processes by information systems (esp . ERP systems), all this data is stored and is thus principally available for an evaluation. Consequently, the interest in techniques and methods for data analysis has increased sharply in recent years. The slogan Business Intelligence in this context means an integrated IT concept that provides interrelated solutions for different requirements for systems viable for decision support (Gluckowski / Kemper, 2006).The lecture is therefore concerned with systems and methods to support operational planning and decision problems. Hereby, mainly issues relating to customer relationship management (eng. Customer Relationship Management CRM) are considered in a framework, in which business intelligence and data mining applications are used particularly frequently.
Data mining is generally regarded as an approach to uncovering novel, potentially business-relevant, intelligible patterns or interrelations within (large) databases and can be divided into the subsections of the predictive (directed / supervised) and descriptive (non-directional / unsupervised) data mining (see. Fayyad et al, 1996;. Berry / Linoff, 2004). The operational applications of such techniques and their methodological foundations are discussed in detail in the lecture. Moreover, the actual analysis can be divided into upstream and downstream steps; an example is data preparation analysis of the results. Another session block consists of applications of data mining techniques within the WWW environment. For example, the term Web Mining as a superset of techniques for the analysis of usage patterns (Lane Usage Mining), linking structures (Web Structure Mining) and web sites (Web Content Mining) has been established. Especially for evaluating news articles or blog posts the latter gains in importance and will, i.a., be used in marketing and for the prediction of financial market developments. General principles of Web-mining and special aspects of the evaluation of textual content in Opinion Mining are accordingly also a subject of the lecture.
This module introduces basic concepts and applications for managing, implementing and executing Business processes; it exemplarily conveys them by referencing relevant techniques, methods and tools. Starting point are rather abstract concepts
of process maturity models, process lifecycle models, process patterns as well as integrating, managing and automating business processes within and between businesses. Based on a value-oriented analysis and planning, an idealized picture is given within a consistent process design, a (partially) automated process implementation and a backcoupling for process controlling. The technical basis is constituted by Integration platforms (EAI) for end-to-end process integration for building service-oriented architectures and coordinating as well as orchestrating web services and workflows. By consolidating and standardizing basic processes a consistent collaboration of different applications and systems for executing business processes based on message- and standard-based methods for process integration is enabled (interoperability).
On the one hand detailed topics are introduced during the lecture, on the other hand there is the opportunity during tutorials to autonomously cope with a selected sub-topic from this area (as specified by the organizers).
- introduction to computational planning
- optimization methods of business planning
- demand planning and forecasting
- methods of exponential smoothing
- artificial neuronal networks
- material requirements planning
- issues in logistics
- routing problems
- transport problems
- port logistics
- machine scheduling
A selection of typical methodological topics of the field Operations Research including their inherent business applications as follows:
- extensions of linear optimization
- non-linear optimization
- integer optimization
- complexity theory
- optimization under uncertainty
The lecture introduces tasks and solution approaches of information management for different application fields within the area of traffic and transportation by giving insight into multi-layered structures of passenger and freight transport as well as corresponding information and communication systems.
Within the area of passenger transportation the lecture differentiates between public transport and motorized individual transport. Within the area of freight transport the lecture specializes on transport of freights with the help of standardized containers. Besides regarding models and applications of information management, emphasis is also laid on economic and ecological aspects of an efficient information design.
This module introduces the basic concepts and applications for (out) sourcing information technology and business processes, and conveys them exemplarily by using relevant techniques, methods and tools. The starting point are abstract concepts about sourcing typologies, price and operator models, bench marking concepts and approach models. Significant prospects of (out) sourcing projects include service, competence, process, contract and cost perspectives. These views can be found in the respective phases of a specific configuration inherent in the analysis of requirements, in the tendering and supplier selection and also in the implementation and operation. A special emphasis is laid on standardization approaches. On the one hand detailed topics are introduced during the lecture, on the other hand there is the opportunity during tutorials to autonomously cope with a selected sub-topic from this area (as specified by the organizers).