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Institute for Information Systems

Saarbruecken, Saarland, Germany
Information Systems

Summary

Located in the south-west of Germany, Saarland University (www.uni-saarland.de/en) has earned an international reputation for its research in computer science and informatics and for work in the life sciences and nanosciences. The university is also distinguished by close ties to France and by its strong European focus. Around 18,000 students are currently enrolled at Saarland University studying over one hundred different academic disciplines. All of the major German scientific organizations are represented on campus, which is home to two institutes of the Max Planck Society, two institutes within the Leibniz Association, two Fraunhofer institutes of applied research and a Helmholtz research centre. Moreover, the German Research Centre for Artificial Intelligence (DFKI), the biggest research center worldwide in the area of Artificial Intelligence, is represented on campus. The Cluster of Excellence in the field of informatics enjoys an excellent international reputation and the numerous awards received by many of the scientists working in the cluster are testimony to the standard of research being carried out. Currently, there are 5 chairs involved in teaching IS students.

Bachelor Programs

Business informatics is an interdisciplinary subject at the interface of business administration and computer science. Business informatics is concerned with the development and deployment of IT and communications technology-based solutions to resolve business problems, and with the analysis and assessment of the suitability of new information technologies for application in practical business environments. Business informatics places less emphasis on the acquisition of pure hardware and programming expertise and allows students to focus more on developing their abilities to create IT-based solutions and to work collaboratively to implement solutions in company and corporate environments. In addition to introducing students to the fundamentals of information processing, the B.Sc. programme in business informatics aims to teach students the analytical skills required to solve problems in business economics.

The interdisciplinary character of business informatics provides students with numerous options to pursue specialist interests during their degree studies and in their subsequent careers.

The six-semester programme has a definite practical focus. Students who successfully complete the programme will be awarded a Bachelor of Science degree (B.Sc.). Over the course of the three-year programme, students will be taught the fundamental facts, concepts and methods of business informatics, computer science and business administration. Graduates will be able to apply the knowledge and skills acquired to solving practical problems in business informatics in their subsequent careers. The Bachelor’s programme is a first-degree programme after which qualified graduates can enrol for the consecutive Master’s degree.

Master Programs

The Master's degree programme "Business Informatics" prepares students for challenging and exciting opportunities to carry out research and development work in both the domestic and international markets. Students are taught how to use the conceptual approaches of business informatics to solve business and commercial challenges. Graduates from the M.Sc. programme have not only acquired a thorough grounding in business informatics, economics, computer science and academic and research techniques, they have also demonstrated that they can successfully undertake independent, self-organized learning and can apply appropriate methodological and analytical skills when solving challenging problems. Business informatics graduates from Saarland University are highly sought-after as experts able to transfer ideas and technology from the academic world to the world of commercial business practice.

Business informatics at Saarland University combines the disciplines of economics and informatics and the department collaborates closely with a large number of respected institutions located on the Saarbrücken campus, including the German Research Center for Artificial Intelligence (DFKI) and the Max Planck Institute for Informatics (MPII). The department also maintains fruitful cooperative ties to universities in Australia, the USA and other countries. The staff scientists and research teams in business informatics are engaged in application-driven research projects and in knowledge-sharing activities with academics and scientists in neighbouring disciplines.

Courses

B. Sc. in Information Systems

Course

The learning objectives include:

-        Theoretical and practice-oriented skills of the most important notations and approaches for the information systems modeling

-        Development of data, process, organizational and object oriented models (e.g.  ERM, EPK, UML). Students acquire skills to analyse structural aspects of business situations and transform them into information models using modelling notations, as it is necessary in e.g. requirements engineering for new information systems and introduction of standard software.

-        With the help of information architecture frameworks (ARIS), students learn how to use information models in computer science projects in a meaningful way and how to design procedure models. Regarding different levels of abstraction gives an impression of structures, strengths and limitations of notations and procedure models (meta modelling). Students are able to acquire organizational know-how and apply it in the design of business information systems.

 184
Project seminar

This course has the intention to practice collaborative business process management in an international environment using realistic scenarios. For each scenario, a concept for outsourcing parts of the business from an American to a German enterprise has to be developed. This includes organizational rules, a description of collaborative business processes and an IT concept. In each scenario, a group of students from UdS represents a German company and a group of students at Widener University in Chester, Pennsylvania represents an American company.

 172
Lecture

This course imparts knowledge on data models and data base systems:

Ability to conduct data modeling: Conceptual data modeling, Enterprise data modeling (especially Entity-Relationship-Diagrams)

-        Ability to use data base languages (especially SQL)

-        Knowledge on data/information warehouse: Concepts and practical solutions

Knowledge on Knowledge Representation and Processing: Knowledge Engineering, Knowledge Management, Business Intelligence

 153
Course

Information systems in the service sector are characterized by applying information technology in an increasingly complex service environment. This course teaches the basics of IT management, including topics like IT-Controlling, enterprise architectures, system architectures with mobile and cloud computing as well as data modeling with practical examples.

 183
Lecture

The course „Management of Information Systems“ deals with the product-oriented design of enterprise information processing. “Product” is understood to be the entire application system resp. application system landscape to design and organize. The course focus lies on teaching the procedure models as well as methods and instruments necessary to design application systems in a logical-conceptual way.

After participating in this course, students should:

-        Know, explain and evaluate basic procedure models, methods and instruments for system design

-        Analyse and model real problems and processes

-        Acquire skills in team working, communications, organization and presentation

 131
Seminar

Process Mining represents the connection between model-based process analyses and data-oriented analysis techniques. New insights into time-related log data can be gained through concepts from the field of data mining and their adaptation to the special features of process data. In this course, both the theoretical basics and the practical application with supporting software tools will be taught.

The course is based on the online course "Process Mining: Data Science in Action" of the Technical University Eindhoven. Over a period of 12 weeks during the semester, the course content is provided to the students in the form of book chapters and videos, which are compiled by the students themselves, with an effort of 2 SWS for learning the content. The theoretical parts are supplemented by two-hour exercises, which take place every two weeks (6 sessions in total). The exercises are focused on the presentation of solutions to the exercise sheets, which are provided at the beginning of each topic block, i. e. the processing time per exercise sheet is 2 weeks. The exercises are worked on individually. Instead of a final exam, each student will work on and present an individual case study. The lecture will be given in English and the tutorial will be held in German. English speaking students are welcome.

 97
Lecture

Integrated information systems make a valuable contribution to service-oriented economies, such as retail, transportation, logistics, tourism, or healthcare. Besides the information functions in the service sector, this course examines in particular the technical bases of service management. Topics like service strategies, service quality, demand forecast and management, capacity planning and queues, ITIL and IT service infrastructures are covered in practical exercises and case studies.

 164
Lecture

Contents of the course „Web Technologies“ are, among others, basics like HTML, CSS and JavaScript/AJAX. Moreover, students get an overview on classical databases in the context of LAMP stack and MVC pattern. NoSQL databases as well as XML/XQuery/XPath and XSLT are covered, along with the topic of semantic data representations, with lower-case semantics, Web Ontology Language (OWL), reasoning and rule-based deduction. The course is concluded with the topics of Big Data and Map/Reduce. All topics are practically applied in weekly exercise sessions.

 162

M. Sc. in Information Systems

Project seminar

This course has the intention to practice collaborative business process management in an international environment using realistic scenarios. For each scenario, a concept for outsourcing parts of the business from an American to a German enterprise has to be developed. This includes organizational rules, a description of collaborative business processes and an IT concept. In each scenario, a group of students from UdS represents a German company and a group of students at Widener University in Chester, Pennsylvania represents an American company.

 172
Seminar

Process Mining represents the connection between model-based process analyses and data-oriented analysis techniques. New insights into time-related log data can be gained through concepts from the field of data mining and their adaptation to the special features of process data. In this course, both the theoretical basics and the practical application with supporting software tools will be taught.

The course is based on the online course "Process Mining: Data Science in Action" of the Technical University Eindhoven. Over a period of 12 weeks during the semester, the course content is provided to the students in the form of book chapters and videos, which are compiled by the students themselves, with an effort of 2 SWS for learning the content. The theoretical parts are supplemented by two-hour exercises, which take place every two weeks (6 sessions in total). The exercises are focused on the presentation of solutions to the exercise sheets, which are provided at the beginning of each topic block, i. e. the processing time per exercise sheet is 2 weeks. The exercises are worked on individually. Instead of a final exam, each student will work on and present an individual case study. The lecture will be given in English and the tutorial will be held in German. English speaking students are welcome.

 97
Lecture

Contents of the course „Web Technologies“ are, among others, basics like HTML, CSS and JavaScript/AJAX. Moreover, students get an overview on classical databases in the context of LAMP stack and MVC pattern. NoSQL databases as well as XML/XQuery/XPath and XSLT are covered, along with the topic of semantic data representations, with lower-case semantics, Web Ontology Language (OWL), reasoning and rule-based deduction. The course is concluded with the topics of Big Data and Map/Reduce. All topics are practically applied in weekly exercise sessions.

 162
Lecture

Learning objectives of the course are:

-        Knowledge and ability to describe the central domain-independent and industry-specific processes of an organization

-        Knowledge and understanding of the basic data structures of domain-independent and industry-specific information systems

-        Application of conceptual modeling methods to business-driven problems

 135
Lecture

After participating in the course „Controlling with SAP ERP“, students should:

-        Know the basic functions of the standard software SAP ERP

-        Be able to navigate the system

-        Understand the dependencies between the controlling module (CO) and the upstream modules

-        Be able to independently process relevant cost accounting cases in the controlling module (CO)

-        Know the cost-type, cost-center and cost-unit accounting in SAP ERP

-        Know basic controlling analysis functions in SAP ERP

 156
Lecture
The module "Human Resource Information Systems" provides qualifications of EQF level 7: A. Knowledge: comprehensive, highly specialized knowledge of • functionalities and application domains of HRIS • legal conditions • categories and architectures of HRIS • methods and state-of-the-art in technical and managerial research in HRIS B. Skills: comprehensive, highly specialized practical skills in the domains of HRIS selection, implementation, and application C. Competencies: self-directed design and management of complex HRIS related work contexts, especially • selection, implementation and operation of HRIS • application of HRIS for automation, information and strategic transformation of human resource management
 265
Lecture

The module "Management Information Systems I: Data Warehousing" provides qualifications of EQF level 7:

A.     Knowledge: comprehensive, highly specialized knowledge of

a.      Functionality and application domains of data warehousing systems

b.      Categories and system architectures of data warehousing systems

c.      Implementation methods and models for data warehousing systems

d.      Methods and state of the art of technical and managerial data warehousing research

B.     Skills: comprehensive, highly specialized practical skills in the domains

a.      Data warehouse implementation

b.      Data warehouse application

c.      Data warehouse maintenance

C.     Competencies: self-directed design and management of complex Data warehouse related work contexts, especially

a.      Implementation and maintenance of data warehouse systems

b.      Applications of data warehouse systems in organizational business functions

 201
Lecture

The module "Management Information Systems II: Data Mining" provides qualifications of EQF level 7:

A.     Knowledge: comprehensive, highly specialized knowledge of

a.      Functionality and application domains of data mining in management

b.      Data mining procedure models

c.      Categories and architectures of data mining systems

d.      Data preparation and transformation

e.      Data mining algorithms (especially segmentation, classification, association, anomaly detection and assessment)

f.       Methods and state of the art of technical and managerial data mining research

B.     Skills: comprehensive, highly specialized practical skills in the domains

a.      Information demand analysis

b.      Data preparation and transformation

c.      Design and execution of complex analysis processes

d.      Result interpretation and decision support

C.     Competencies: self-directed design and management of complex Data warehouse related work contexts, especially

a.      Implementation and maintenance of data mining systems

b.      Applications of data mining systems for meeting complex information demand in management

 142
Lecture

The course “Value Engineering” extends the former course “Product-Service Information Systems” and offers a systemic view on the design of complex systems. Topics like Design Science, product and service development as well as design and empirical evaluation of hybrid products are scientifically acquired and practically applied in small project groups during the exercise sessions. After participating in this course, the students are able to analyse systems, specify customer demands, execute design processes in teams and empirically validate the resulting designs.

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