This foundation module offers you a comprehensive overview of the central areas of business administration. You will be familiarized with the basic functions of companies, including management, financing, marketing, human resources and production. You will learn about key business models and methods that describe economic activity and corporate management. Using case studies and practical examples, you will learn how companies make strategic decisions and successfully assert themselves in a competitive environment. This module lays the foundation for further specialized content in your studies and prepares you optimally for business management challenges. Social and personal skills are promoted through group work and discussions.
The module provides basic knowledge of linear algebra, including vectors, matrices and linear systems of equations. Students learn to carry out calculations with complex numbers and to understand the structure of vector spaces. Methodological skills include applying specialist knowledge to practical tasks and developing their own solutions. Social and personal skills are promoted through self-study and group work.
The module teaches basic concepts and ways of thinking in programming, including the syntax of the object-oriented Java language. Students learn to apply simple algorithmic solution patterns and implement basic program design principles. Methodological skills include the analysis of application problems and the development of simple algorithms and class structures.
This module provides a general introduction to the basic concepts of computer science, including the representation of numbers in other number systems, the structure of computer systems and the interaction of hardware and software. Students learn the coding of information, the functioning of processors and the basics of Boolean algebra. Methodological skills include the systematic analysis of problems and the development of their own solutions.
The module provides an overview of the fundamentals of business informatics, including IT systems, digital business models and application architectures. Students learn to create simple data models and to differentiate between the various classes of IT systems. Methodological competence includes working with scientific literature and using the WWW for scientific work. Social and personal skills are promoted through group work and the formulation of personal interests.
The module promotes the skills of independent study and academic work through a course-related project. Students work in small groups on problems from (business) informatics and learn methods of study organization, time management and literature research. Methodological skills include the application of learning strategies and exam preparation techniques. Social and personal skills are promoted through group work and the perception of one's own role.
This module deals with mathematical concepts such as relations, functions, limits, differential and integral calculus. Students learn to describe mathematical relationships and to work on application problems using methods of analysis. Basic calculation rules and mathematical models for simple application problems are taught. Methodological competence includes logical argumentation and the application of introduced calculation rules. Social and personal skills are promoted through group work and self-study.
Building on Programming 1, this module covers advanced concepts of object-oriented programming, including inheritance, polymorphism and concurrent programming. Students also learn to design and develop graphical user interfaces. Methodological competence includes the application of language concepts to solve complex application problems. Social and personal skills are promoted through group work and the discussion of solution approaches.
The module provides knowledge of the concepts of wired and wireless communication networks, including network architectures and communication protocols. Students learn to describe network components and to implement heterogeneous communication networks. Methodological skills include the planning, configuration and administration of computer networks. Social and personal skills are promoted through group work in practical exercises.
This module provides basic knowledge of relational databases, including modeling and evaluation. Students learn to design data models, create databases and use SQL. Concepts such as ER modeling and normal form theory are covered. Methodological competence includes the analysis of departmental needs and the creation of suitable database models. Social and personal skills are promoted through group work and reflection on one's own role.
The module teaches the principles of business accounting, including bookkeeping, accounting and cost accounting. Students learn how to post traditional business transactions and assess accounting issues. The basics of controlling and cost accounting are covered, including costing and strategic planning. Methodological skills include analyzing accounting problems and assessing the profitability of companies. Social and personal skills are promoted through mutual support and self-study units.
The module deals with stochastic methods that are relevant in information technology applications. Students learn to analyze data sets, calculate probabilities and test hypotheses. Topics such as descriptive statistics, probability theory, random variables and inductive statistics are covered. Methodological skills include adapting stochastic models and solving complex tasks. Social and personal skills are promoted through mutual support and self-study units.
This module provides an overview of the types, functions and strategies of operating systems. Students learn how operating systems manage resources such as CPU and memory and how to write simple programs in C. Basic concepts such as process and memory management and scheduling are covered. Methodological skills include working with engineers and computer scientists on operating system tasks. Social and personal skills are promoted through programming and administration of operating systems.
This module provides basic knowledge and skills in the field of software development. Students learn to analyze requirements, design non-trivial software systems and specify their structure and behavior using UML. Topics such as requirements analysis, object-oriented design, software architecture and quality assurance are covered. Methodological skills include the planning and implementation of quality assurance measures. Social and personal skills are promoted through group work and technical discussions.
The module covers the basic structures of private commercial law and the areas of law relevant to information technology. Students learn to deal with legal issues in licensing, copyright and data protection law and to understand legal argumentation techniques. Topics such as contract law, impairment of performance, copyright law and data protection are covered. Methodological skills include solving legal problems and working with legal experts. Social and personal skills are promoted through teamwork and legal discussions.
This module teaches the basic concepts of finance. Students learn how investment decisions are made, which static and dynamic investment calculation methods (e.g. net present value method, internal rate of return) are used and the advantages and disadvantages of the various methods. In addition, the different forms of financing - from traditional bank loans to alternative financing models such as venture capital - are explained. Practical case studies and exercises support the understanding of how financial decisions influence the long-term stability and competitiveness of a company.
This module aims to bring students' English language skills up to level C1 of the Common European Framework of Reference for Languages. Financial, economic and technical terms as well as current business topics are covered. Methodological competence includes improving speaking, reading, listening and writing skills through various exercises. Social and personal skills are promoted through teamwork and solving unfamiliar language situations.
This module teaches the skills for the analysis and application of algorithms and data structures that are necessary for the efficient management of large amounts of data and optimization problems. Students learn to analyze algorithms with regard to correctness and runtime complexity and to apply important algorithms for sorting and graph-theoretical problems. Basic algorithmic principles and data structures such as trees and hash methods are covered. Methodological skills include the development of efficient algorithms and the selection of suitable data structures. Social and personal skills are promoted through discussions and the assessment of one's own analytical abilities.
The module teaches the skills required to develop applications with a database backend. Students learn to use stored procedures and triggers, to develop Java applications with relational databases and to create simple web applications. Concepts such as transaction processing and NoSQL databases are covered. Methodological skills include the application of specialist knowledge to practical tasks. Social and personal skills are promoted through collaboration with other developers.
In the seminar on business informatics, students work on current scientific issues and prepare scientific papers. They learn to formulate research questions and to research and cite scientific publications. Methodological skills include scientific work and the presentation of results. Social and personal skills are promoted through the independent implementation of tasks and the application of self-organization techniques.
In this module, you will learn project and process management methods that are indispensable in modern companies. You will not only be familiarized with classic project management, but also with agile methods such as Scrum and Kanban as well as higher-level strategic approaches such as Cynefin. Using practical case studies, you will analyze business processes, identify potential for improvement and develop concepts for process optimization. The module teaches you techniques for the structured planning, management and control of projects and for the continuous improvement of operational processes. The aim is to provide you with the basic skills to manage both projects and processes efficiently. Social and personal skills are promoted through teamwork and the improvement of presentation skills.
The practical semester of at least 100 days enables students to apply and deepen the knowledge they have acquired during their studies in practice. They get to know everyday working life in an IT company and can define the focus of their studies. Students must submit a work plan and work contract to ensure the quality of the internship semester. Methodological competence includes applying to a company and working on company projects.
After the internship semester, students present their experiences in a 10-15 minute presentation and submit an internship semester report. The presentation and the report document the practical experience and the application of theoretical knowledge in everyday working life. Methodological competence includes the preparation and presentation of a structured presentation and the preparation of a written report. Social and personal skills are promoted through the discussion of experiences and the appreciation of the skills of others.
The module provides knowledge of ERP systems, in particular those from SAP. Students learn about the forms and advantages of integrated systems, the essential master data and functions of an ERP system and the implementation process of such systems. Practical exercises on the SAP system are a central component of the module. Methodological skills include the operation of an SAP system and the implementation of case studies.
This module deals with the analysis of business data and the application of machine learning in a business environment. Students learn to solve analytical tasks using suitable methods and tools and to process data from various sources. Multidimensional data models and simple machine learning methods are taught. Methodological skills include the planning and processing of data-centric problems. Social and personal skills are promoted through teamwork and the use of subject-specific English skills.
In this module, students work in teams on practical projects in order to apply their technical, methodological and personal skills. They learn to systematically solve extensive tasks and develop IT projects independently. The methodological skills include the application of the specialist knowledge acquired in the previous semesters. Social and personal skills are promoted by working in groups and taking on different roles.
This module teaches the basics of product management in the IT environment, including economic principles of the software industry, business models and product development. Students learn to manage product development processes and to understand the requirements of different departments. Methodological skills include the application of methods such as SWOT analysis and business model canvas to solve everyday problems in product management. Social and personal skills are promoted through group work and the presentation of work results.
This module focuses on quantitative approaches in marketing. You will learn how statistical methods and empirical studies contribute to the systematic collection and evaluation of market data and how these insights can be implemented in marketing measures. Methods such as quantitative and qualitative market research, regression analyses and forecasting are taught using case studies and practical exercises. The module shows how companies can develop and optimize marketing strategies and measures on the basis of quantitative data. Social and personal skills are promoted through group work and support in solving tasks.