Ad-hoc and sensor networks
The lecture “Ad-hoc and Sensor Networks” deals with the functionality of infrastructure-less communication networks, which usually consist of a multitude of resource-limited embedded and partly mobile computing nodes. The limitations are expressed by limited computing power and energy supply (e.g. batteries). Based on this system model, topics such as media access, time synchronization, localization, data-centric communication and routing are covered. In the exercise, the presented procedures are treated in depth and partially implemented and evaluated. Further information about this course can be found on the website of the chair.
The lecture Data Engineering covers database concepts in theoretical and practical form. The learning objectives of the course are to get to know the most important database concepts and database technologies and to gain practical experience in building a database schema and accessing it with SQL. Among others, the following topics are covered: Overview of the market for database systems, design and modeling of databases, SQL and databases in use at financial service providers. Further information about this event can be found in the Digicampus.
According to VDI 4499, digital factory is understood to be “a network of digital models, methods and tools, including simulation and 3D visualization” and their integration into company-wide data management. The following topics will be covered in the lecture: Application areas of tools and technologies for factory planning and design Applications of tools and technologies in the production environment: digital support in manufacturing and assembly as well as optimization of structures, processes and resources in the factory Potentials, benefits and advantages for companies Modelling and simulation approaches Augmented and Virtual Reality Overview of distributed software Practical examples You can find more information on the page of the chair.
Advanced methods of FIM
In the course of the course you will learn advanced methods of financial & information management and apply them exemplarily in case studies. Based on fictitious but practice-oriented examples, typical decision situations will be shown which the participants will have to solve with business management methods (decisions under security or risk). It will be examined how alternatives can be evaluated in terms of an integrated yield and risk management. In the second set of topics, the background, effects and ethical aspects of entrepreneurial action will be examined using the example of the financial and debt crisis. The interrelationships between lending, securitisation and the global distribution of securities will be discussed. An asymmetrical relationship between opportunities and risks can be identified, which made win-lose relationships possible and was characteristic of the causal structures. Subsequently, in the context of a case study, the structures shown are subjected to an ethical evaluation in order to work out starting points for a critical questioning of financial decisions. Participation in the event: admission restricted. Registration required via the event website. Prerequisites: For successful participation, the mathematical and statistical knowledge taught in the courses Mathematics and Statistics is required. Further prerequisites are basic knowledge of business informatics, as taught in the business event it@bwl. Another prerequisite for successful participation is the willingness to work on the case studies under time pressure and to work in a team. You can find further information on this event in the Digicampus.
Basics of distributed systems
The lecture “Fundamentals of Distributed Systems” focuses on the following topics: Introduction to distributed systems, network basics, communication models, synchronization and coordination, consistency and replication, fault tolerance, process management, infrastructure of heterogeneous distributed systems, client/server systems. Further information can be found on the page of the chair.
Computer Science I
In this course you will learn the essential concepts of computer science on a basic, practical but scientific level: architecture and functioning of computers, information representation, problem specification, algorithm, program, data structure, programming language. You will be able to solve simple algorithmic problems by evaluating different design alternatives using programming language independent models and implement them in C or a similar imperative language. Furthermore, you will learn how to implement simple command line applications by selecting suitable, if necessary dynamic, data structures using a C program suitably structured into several translation units. Another part of the lecture Informatik I is that you understand the imperative programming languages with the underlying concepts and models and are able to acquire other imperative programming languages independently. In addition, elementary techniques for verification and calculation of the complexity of imperative programs are taught, which the students are supposed to implement on simple programs. Prerequisites: Prerequisites for successful participation are the ability to think logically, analytically and conceptually; to work independently with textbooks and program libraries; to present results in an understandable way and the ability to work in teams with other participants.
Computer Science II
The course teaches the following essential concepts/terms of computer science on a basic, practical but scientific level: software design, analysis and design model, UML, object orientation, design patterns, graphical user interface, parallel programming, persistent data management, databases, XML, HTML. Objectives of the course are, among others, that the participants model concurrent applications with graphical user interface and persistent data storage considering simple design patterns, different design alternatives and a 3-layer architecture by static and dynamic UML diagrams from different perspectives and implement the corresponding diagrams in Java or a similar object-oriented language. Another part of the lecture Informatik II is that you understand the imperative programming languages with the underlying concepts and models and are able to acquire other imperative programming languages independently. Prerequisites: Prerequisites for successful participation are the ability to think logically, analytically and conceptually; to work independently with textbooks and program libraries; to present results in an understandable way and the ability to work in teams with other participants.
Intelligent networked production
The aim of the lecture “Intelligent Networked Production” is to give students a deeper understanding of networking and the resulting optimization possibilities in production. The students are able to analyse networks on micro and macro level in the environment of industrial production and to apply learned methods for optimisation. In the course of the lecture “Intelligently networked production”, students will be taught the following levels of networking in industrial production: – Micro level (work focus): Cyber-physical networking in production – Macro level (network focus): Setup and operation of global internal and cross-company production networks as well as basics of supply chain management – Industrial companies as an important component of smart grids Technologies as well as possible forms and strategies for networking in the respective areas are discussed. The resulting optimization possibilities by comparing the real and digital world are shown. Relevant practical examples from the field of networked production will be discussed as well as current research projects. Further information can be found on the website of the chair.
The lecture imparts approaches to the control of high complexity in technical systems. Based on the definition of the research area Organic Computing and its general objectives, especially concepts and mechanisms from nature are transferred into technical applications and algorithms. The exercise takes up the presented algorithms and approaches and transfers them into a simulated environment. The students learn scientific principles for the development and realization of complex algorithms – the evaluation and comparison with conventional approaches is in the foreground. Further information can be found on the website of the chair.
Project Study Business Informatics
The “Project Studies in Business Information Systems” is designed to give you an early insight into the application of business information systems in research and practice. For this purpose, teams of 4-5 students work on real-life questions from companies or research partners, which include the development of an application software (e.g. mobile app or web application). The submission is in the form of an executable application (incl. documentation), which will be demonstrated in the final presentation. It is not necessary to write a seminar paper. Examination registration: on STUDIS (subject area FOIM, REM) or firstname.lastname@example.org (subject area DOM) Further information on this event can be found in the Digicampus.
Software Architecture and Enterprise Architecture Management
The lecture content includes patterns, modeling techniques and the evaluation of software architectures. Students are thus able to create, evaluate and document SW architectures. Furthermore, they have developed an understanding for the implementation problems of embedded systems and know the concepts and procedures for the development of embedded systems. Further information can be found on the page of the chair.
Value-based Business Process Management
The course introduces the basics of process management and offers an insight into the tasks of the process management life cycle. Furthermore, the course deals with questions of value orientation in process management and process industrialization. The value orientation stands for a decision-oriented approach to process management, which takes a business case perspective and focuses on organizational effects of process management decisions. Process industrialization comprises the systematic implementation of the automation, standardization, flexibilization and improvement potential of individual processes by means of modern information and communication systems. The contents refer both to individual internal company processes and to global value creation networks. Further information on this event can be found in the Digicampus.