Business Informatics

Descriptive statistics, fundamentals of probability theory, discrete and continuous distributions, point estimators, confidence interval, hypothesis test, analysis of categorical data, linear models, aspects of data processing for statistical analysis.

Real functions, differential and integral calculus including applications, matrix algebra and applications, Markov chains, interpolation

Students learn the essential basics of theoretical computer science and develop solid foundations in computer programming techniques. A central aspect is the design, analysis and implementation of algorithms as well as the selection and usage of appropriate data types and control structures. The course focuses on structured, imperative programming which also includes the usage of composite data types. The course unit is designed to compensate for different levels of prior knowledge of computer programming.

- Package management - Management of services, processes and scheduled jobs (cron jobs) - Configuration of remote access for secure remote maintenance (SSH, RDP) - Installation and configuration of a central directory for managing identities and resources (e.g. OpenLDAP) - Installation & configuration of elementary IT infrastructure services (DNS, Web server, file server, database server) - Management of secure access to shared resources (SFTP, NFS) - Integration of Windows and Unix/Linux systems (SAMBA, etc.)

- Virtualisation of hardware resources for operating system environments - Design & administration of a platform for server virtualisation (Microsoft Hyper-V) - Design & implementation of basic DNS architectures for name resolution - Design & implementation of distributed file systems (DFS) - Installation & configuration of elementary IT infrastructure services (DNS, DHCP, Web server, file server) - Management of secure access to shared corporate resources (NTFS permission management)

Basics of analog and digital video signals, capture & editing of analog and digital videos, filters, real-time effects (F/X), basics of 3D modelling and use of a real-time graphics engine, basic terms of digital audio editing and microphone technology

Students learn how to use Structured Query Language (SQL) for creating relational structures; retrieve data using joins, groups and subqueries; use automatic implicit and explicit transactions for write access using the Data Manipulation Language; create and use views; grant and withdraw access permission; optimise database access by indexing.

I. Fundamentals of Economics and Business: Economies, sciences, economics vs. business administration. II. Economics: 1. Microeconomics: supply and demand, market mechanisms, market balance. 2. Macroeconomics: unemployment, inflation, GDP. III. Business administration: 1. Basics: production factors, business goals, business sectors, sub-areas of business administration. 2. Constitutive business decisions: choice of legal form and location. 3. Business administration in daily business: a) Materials cycle: purchasing, production, logistics (JIT, ABC analysis, ...). b) Sales and marketing: market research, marketing; marketing instruments and marketing trends. c) Organisation: organisational forms, management, HR. d) Controlling: strategic, operative, tactical controlling (SWOT, GAP, ...). e) Accounting and finance: external/internal accounting (preparation/analysis of annual accounts, cash basis accounting, cost accounting, investment, financing options, ...).

This course unit provides an introduction to cryptography (AES, RSA, ECC, hash), routing and switching using the most common protocols. It involves a theoretical introduction to the OSI layer model, Ethernet framing, switched networks, VLAN, RSTP, MSTP, IP, VLSM and CIDR, IP networks, static routing, RIP, OSPF, route redistribution, BGP, IPv6 and OSPFv3, followed by practical exercises supported by network simulation software.

This course unit promotes self-learning competency and self-study and enhances the grammar skills and business vocabulary at academic level. Students also build up vocabulary in the field of information and communication technologies. Students provide recapitulations, learn about efficient communication strategies and prepare short presentations on relevant subject-specific topics. The students practise understanding and summarising audio and video input (TED Talks) and speed reading comprehension of longer general business and subject-specific texts. Students also learn to write and present short academic texts.

The focus of this course unit is on teaching students how to prepare interesting presentations that are well structured, rhetorically appealing and clearly understandable using different presentation media. Video feedback is used to help students develop their own presentation style and present different topics in a way that is appropriate to the target group.

- Design of a complex Domain Name System structure (DNS) - Installation and configuration of a central directory for the management of identities and resources (e.g. Active Directory) - Configuration of directory replication and federation with a cloud-based directory service (e.g. Azure Active Directory) - Role-based access control (RBAC) - Central configuration management using group guidelines - Central software lifecycle management using group guidelines - Implementation of certificate services (public key infrastructure, encryption and digital signature)

Lecture: IT information security basics; vulnerabilities and threats; two-factor authentication; certificates and PKI, TLS/HTTPS; explanations and definitions, approaches and methods, standards, regulations, motivation; use and application, possibilities and limitations, detailed implementation, planning and architecture Tutorial: Use of different tools & hardware, fundamentals of TCP/IP communication, function and configuration, router and firewall configuration, use of switches for structured enterprise networks; structure & use of access control lists different between router and firewall, basics of LAN security, virtual private networks

This module provides an introduction to object-oriented programming based on Module 08. This knowledge is implemented in practice by developing mobile applications for Android smartphones. Programming training is supplemented with the fundamentals of software engineering (process models, requirements management, testing, version and configuration management).

Development of complex SQL queries, development of triggers, stored procedures/functions/packages based on both MS SQL-Server and Oracle; process models; application of software engineering in database development; implementation of a practical project

Introduction to multimedia programming and visualisation of 1D, 2D and 3D data; animation techniques, integrating different media data (image, text, fonts, audio, video and 3D objects) into an overall application; publishing and testing the final application

Area 1: Introduction to data science - Overview of the field - Key terms - Applications - Societal and legal context - Future perspectives Area 2: Overview of key data science methods, e.g. - Multivariate statistics and data mining - Fuzzy logic - Bayes networks - Decision trees - Neural networks - Genetic and evolutionary methods - Agent-based methods and swarm intelligence - Monte Carlo methods

Accounting: External vs. internal accounting, investment appraisal and financing. Key accounting terms: Cash receipts, income, proceeds/revenue, output vs. cash payments, expenses, charges, costs. Accounting acc. to UGB/IFRS: Elements of annual accounts, obligation to prepare annual accounts, overview. Cash basis accounting Balance sheet analysis: Analysis of earnings, financial and assets position; key performance indicators. Cost accounting: Absorption costing and variable costing; cost type, cost centre and cost unit accounting; profit and loss accounting and decision accounting (bottom prices, break-even point, production programme planning, ...). Static and dynamic investment appraisal methods: Cost, profit, profitability comparison method method, payback method, net present value, annuity method, internal rate of return. Forms of financing

The course unit gives an introductory overview of the basics of normative business management. This provides the basis for presenting and discussing the strategic and operative aspects of business management. The fundamentals of planning and control, corporate organisation (structural and procedural organisation) as well as leadership models and aspects will also be discussed. Entrepreneurial thinking and the course content are expanded and consolidated by discussing case studies and developing business models.

This course unit provides a basic introduction to project management and aims to enhance the understanding and practical application of project management in a comprehensive project scenario. The project theory presented will be discussed in small project teams and will be practised and implemented by the students in the form of competence drills. Each student will finally document and interpret the project content and results in writing. Collaboration with a course unit from another module of this semester are designed to promote the interdisciplinary approach both in direct/indirect and synchronous/asynchronous exchange with the lecturer.

The course unit deals with the fundamentals of different communication theories, starting from the models developed by Paul Watzlawick and Schulz von Thun. The focus is on developing and experiencing one’s own communication skills in different situations. The students learn to develop strategies for improving their communication skills and promoting active listening. In addition to providing theoretical knowledge the unit also focuses on practical exercises in which students learn to recognise and optimise their own communication patterns. They are made familiar with discussion models and communication strategies for successful conflict management (e.g. Harvard concept) and apply them in practical exercises. The unit also promotes the students’ personal development and outlines successful communication within companies.

This course unit develops and consolidates the professional linguistic abilities and skills (e.g. effective communication within a team, English for decision makers, English for business trips) using subject-specific texts and topics related to the key subjects taught on the Bachelor’s degree programme in Information Management. Exercises include short simulations, discussions and presentations on subject-specific business topics. A focus is also placed on providing students with professional vocabulary used in different business contexts (e.g. HR, marketing, accounting, finances, international trade, business ethics, quality management, project management). Links to other subject-specific course units are designed to provide students with a practical learning environment.

- Models for cloud computing provision (private cloud, public cloud, hybrid cloud) - Cloud computing architectures (XaaS, edge computing, fog computing) - Cloud native design (microservices, APIs, endpoints) - Modelling of cloud service architectures and virtual networks - Resource, user and group administration - Access control and authentication - Data storage (table storage, file storage, blob storage, data lake) - Data query and manipulation - Logging and monitoring of cloud services

- Planning and management of demand-driven cloud scaling - Automatic scaling of virtual computers and containers - Creating highly-available scalable cloud applications and APIs - Horizontal scaling of Big Compute and Big Data applications - Management of integrated load balancing - Developing event-driven, serverless architectures - Service provision across multiple availability zones

Characteristics and applications of mobile networks: Network architecture and services Parameter for measurements in wireless networks (signal power, quality, bit error rate, jitter, availability...) 4G and 5G mobile networks Wi-Fi 5 and 6 Internet of Things (LPWA: LoRaWAN, ZigBee, LTE-M, NB-IoT)

Introduction and fundamentals of interface programming, microcontrollers and sensor technology; differences between and applications of different analog and digital sensors; different interface options (e.g. I2C Inter-Integrated Circuit) and processing; data optimisation and filtering of disturbances (median, mean, thresholds, etc.); use of data for real-time control of interface elements for different real-world applications such as industry, Smart Home, Internet of Things and accessibility.

This course unit is about classical server-centred web applications with a focus on practical applications using the Java enterprise stack. It provides the fundamentals of HTTP and all aspects of web application development. This includes token-based security mechanisms and the possibility of mapping an object-oriented data model to relational databases (OR mapping).

Fundamentals and aims of business process management (BPM), terms and definitions, process controlling, the phases of the BPM lifecycle model, methods and procedural models of process analysis and modelling, models in IT in general, modelling of business processes using a formal notation such as BPMN 2.x, fundamentals of model verification and validation, BPM maturity models, integration of BPM in a corporate architecture, relationships between business processes and corporate information systems.

Fundamentals and aims of quality management (QM), terms and definitions, QM standards (e.g. ISO 900x), audit and certification of quality management systems, the EFQM model, Total Quality Management, Kaizen/CVP, Six Sigma, selected methods of statistical process control, QM methods and tools, applications of QM in IT (computer integrated quality).

Principles of information security and data protection; fundamentals of the General Data Protection Regulation (GDPR) and the Data Protection Act (DSG); overview of the ISO 27000 series, in particular ISO 27001 and ISO 27005; IT baseline protection (BSI Grundschutz); VdS guidelines (VdS 3473 and VdS 10000); Risk assessment; information security guidelines and regulations; Case studies and best practices for ISMS implementation

This course unit prepares students for writing a Bachelor's thesis in one of the key areas of the degree programme. This includes clarifying and critically discussing key terms such as 'science' and 'academic paper'; typical structure and thematic criteria of academic papers, different forms of scientific questions and how they are formulated, the corresponding thematic planning and methodological implementation of the planned research project; methods of source and literature research, including qualitative evaluation and use in the text as well as forms of citation. Students will practise their skills of reflection and critical discussion in academic papers and develop an independent working style.

This course unit develops and consolidates the professional linguistic abilities and skills using subject-specific texts and topics related to the key subjects taught on the Bachelor’s degree programme in Information Management. Students practise writing academic texts, such as abstracts, and scientific papers on information technology topics. Mini-presentations on subject-specific academic and business topics provide additional vocabulary for a future career in the field.

The seminar helps students develop and experience their own communication behaviour in different situations. They are given an insight into their own communication patterns and analyse these patterns using self-reflection and peer feedback based on elements from systemic theory, group dynamics and coaching. The students apply the acquired knowledge of conflict management and coaching in practice, develop coaching units and implement them in small teams.

This course unit provides basic knowledge of the operational tasks and processes within companies, especially production and logistics companies. Operations management (OM) focuses on the efficient and effective provision of products and services using limited resources. The topics discussed include production planning and inventory management (MPS and MRPII), parts lists and work schedules, batch processes, queuing systems and stochastic processes, production control systems, just-in-time und supply chain management concepts. Specific topics related to digital factories will also be dealt with and discussed in the context of digital transformation. The theoretical fundamentals and practical methods of process simulation will be discussed and applied in order to support and consolidate the aspects of application.

This course unit focuses on highly interactive single page applications based on popular JavaScript application frameworks. The interaction with the server is via secure REST interfaces. The necessary basics are provided in the course unit, which also deals with responsive design to round off the technical skills.

Coaching and assistance in finding a topic and defining the content of the second project-oriented Bachelor's thesis which is assigned to the project to be carried out in the 5th semester. A supervisor supports the student in writing his/her Bachelor's thesis. The topic of the Bachelor's thesis is to be selected according to the project. The aim of the thesis is to generate subject-specific scientific findings, develop them for publication and apply them in practice as part of the associated interdisciplinary project.

Independent application and use of key methods and tools of project management using the project as a case study. The course unit also includes general coaching, discussion and reflection of typical project situations using the projects as examples.

The objectives of this course unit are manifold. On the one hand, it aims to expand the professional expertise of the degree programme by investigating innovative topics from the respective research areas and by publishing relevant results. On the other hand, the projects also serve to transfer the expertise of the degree programme to external partners and/or customers. The detailed goals for the students include the following: promoting and improving teamwork (coordination, communication, interaction), learning problem- and goal-oriented approaches, implementing the acquired knowledge and combining it with new topics, identifying and solving problems analytically and systematically, taking a synthetic and efficient approach to achieve the defined project goals, professionally presenting the project results. The project is carried out in close connection with the Bachelor's thesis. The results of the Bachelor's thesis are fed into the project …

This video-assisted course unit aims to provide students with the English skills required for business meetings. Meetings are simulated in case studies in order to improve the communication strategies required for the profession. The students learn how to successfully plan (agenda), carry out and document business meetings (meeting minutes). The technical vocabulary (phrases) will be jointly developed, deepened and improved.

Identity as a Service - authentication protocols, identity federation Desktop as a Service - virtual desktop infrastructure, remote apps, digital workplace Platform as a Service - application virtualization & scalability, container administration Function as a Service - serverless computing Infrastructure as a Service – cross-cloud computing & migration Artificial Intelligence as a Service - intelligent bot services, cognitive services, knowledge mining

This course unit provides an introduction to Internet of Things platforms and applications. The focus is on transferring high-frequency data as typically generated by sensor networks. These data are subsequently processed as data streams (stream processing) and persistently stored. The unit also presents tools and methods for querying, processing and presenting these data in a clearly structured manner.

Definition of terms and fundamentals, profitability factors (IT cost/benefit categories), elements of value creation and process cost accounting, corporate accounting (cashflow, profit and loss account, balance sheet), different investment appraisal methods (ROI, payback, NPV, IRR, …), cost, benefit and profitability models, data collection, data processing and data analysis, project controlling.

Area 1: Repetition and consolidation - Repetition and consolidation of key concepts of combinatorics, probability theory and univariate statistics Area 2: Overview of interdependence methods: - Principal component analysis - Explorative factor analysis - Nearest neighbour classification - Cluster analysis - Partial least squares regression - Support vector machines - Multidimensional scaling Area 3: Overview of dependence methods: - Multivariate linear, non-linear and logistic regression - LASSO (least absolute shrinkage and selection operator) - Discriminant analysis - Variance analysis - Confirmatory factor analysis Area 4: Visualisation: - Common visualisation methods of multivariate statistics

Practical introduction to a selected ERP system (e.g. MS Dynamics NAV): basic configuration and initialisation, typical functionalities in sales, purchasing, logistics and production.

Legal fundamentals. principles of the Austrian Federal Constitution; basic structure of public administration, EU development, EU bodies, EU institutions, EU standards, legal transactions, contractual law/fundamentals, selected contract types, law of damages, intellectual property law/ fundamentals and copyright law, trade law, data protection law, telecommunication law (including projects and presentations)

This video-assisted course unit aims to provide students with the English skills required for professional presentations. The students learn how to prepare effective and interesting presentations in English and present them in a manner appropriate to the target audience. The technical vocabulary (phrases) for presentations will be jointly developed, deepened and improved. The use of different media and visualisation techniques will be discussed and applied in practice.

The students undertake an internship at a company subject to ongoing reporting obligations. The students are required to practically apply what they have learned in an authentic environment. The details of the internship are agreed between the company and the student within the framework of the subject taught on the programme.

This seminar accompanies the internship. It provides quality assurance for the internship and addresses the following topics/areas: project management, project documentation, formal framework conditions of the internship and dealing with problems at the workplace. The internship seminar provides the students with the skills required for reliable and precise project work, documentation and communication.

The board examination is carried out in accordance with the requirements for final examinations at FH Bachelor's degree programmes pursuant to FHStG as amended.

ISP business models and access network technologies (xDSL, HFC, 5G, FTTx; satellite networks and new approaches such as balloon platforms and autonomous drones); backbone networks (submarine cable networks, optical transmission networks and DWDM)

Scalable Internet services using content delivery networks (CDNs); ensuring Internet stability and openness – network neutrality and Internet governance; Internet core technologies (submarine cable networks, high-speed optical networks, BGP, MPLS); sustainable infrastructures: green IT and green web, optimising resource use along the entire lifecycle.

This seminar gives the students the opportunity to learn about current innovations and trends in the field of software engineering. The students will prepare the topics and present them in the form of workshops and presentations. Critical analysis is encouraged by discussions on the potential impacts of these trends, methods or programming languages on the software engineering environment.

This course unit provides an introduction to the iterative user-centered design process and the associated usability methods. Software projects are explored from the perspective of users, who are involved in all phases – from initial and detailed design to development and evaluation. Reflection on software projects developed by the students in the first five semesters also forms an integral part of this course unit.

This course unit provides a critical analysis of the topic of digital transformation with a focus on business management aspects. This includes analysing typical business process models (architectural patterns) and exploring possibilities of significantly increasing competitiveness through the digital transformation of business models using existing and future (disruptive) digital technologies. Fields of innovation may include: the Internet of Things, the digital factory and Industry 4.0, big data and analytics, artificial intelligence and machine learning, blockchain, etc. The course unit also addresses the changes this implies for business management as well as structural and procedural organisation.

The students independently prepare a relevant current topic from the field of business informatics, including presentation and discussion in a plenary session.

Area 1: Fundamentals - Overview of modelling and simulation - Fundamentals of systems science, cybernetics and control engineering Area 2: System dynamics - Causal loop diagrams & matrices, pulse models - Markov chains - Differential equations, initial value problems and numerical integration - Equilibria and stability of differential equations Area 3: Agent-based modelling - Cellular automata, self-organisation and emergences - Characteristics of agents and agent-based models - Describing agent-based models using an ODD protocol - Overview of established agent-based models

Following a recapitulation of the basic methods of artificial intelligence, the students independently explore a specific topic (method or application), present their results and discuss them with their fellow students.

Fundamentals of logic and Boolean algebra, binary numbers, prime numbers and applications, methods of mathematical proof, graphs and graph algorithms, matrices and linear equation systems, introduction to financial mathematics, fundamentals of linear optimisation.

The focus of this course unit is on technical informatics. The storage of information in computers is explained starting from the principles of informatics. This includes methods for minimising redundancy such as Huffman's algorithm. Students gain a sound understanding of bits and bytes as a basis for the development of computer systems. Both simple reference models (von Neumann) and the basic principles of modern architectures will be explained. Another key element is providing students with knowledge about memory structure and access mechanisms in order to help them understand the difference between primitive and reference data types. The history of the programming languages and programming paradigms is outlined based on machine language and microcode. Finally the course unit shows the students how simple structured programs are executed by the computer and where and how the values, variables, parameters and function results are stored…

Categorisation of information management within the scientific disciplines; introductory description of the key tasks and methods of information management at the strategic and operative level; introduction to the key content of the degree programme as guidance for the students.

- Introduction to the fundamentals of UNIX/Linux operating systems - Emergence and spread of UNIX/Linux - Overview of widespread UNIX derivatives and Linux distributions - Partition layout, file systems and drives under Linux - File System Hierarchy Standard - Handling of command line arguments for system management - Shell variables, regular expressions, alias commands - User and access management - X Windows system

This course unit provides students with a general introduction to operating system architectures and the principles of virtualisation. The focus is on providing a general understanding of hardware abstraction and virtualisation. This involves explaining the basic characteristics of processor and memory management and providing an overview of common partition and file systems. Students carry out practical exercises in installation, configuration and error correction thus gaining an insight into the structure and functional principles of the Microsoft Windows client operating system, which is in use around the world. The course unit demonstrates key administrative processes of user and access management (authentication, authorisation, audit) and concepts of data security (access control lists, encryption, shadow copies) and associated backup strategies. The students are given simple tasks to gather experience in handling the system tools …

The lecture part of this course unit gives an introduction to the fundamentals of internet and LAN technologies using the established layer model. In the practical lab exercises, students learn how to plan and implement structured cabling, network configuration of end devices (PCs), the configuration of a simple web server, analysis of network traffic using a sniffer program, use of Ethernet switches, use of Internet access networks (DSL, mobile networks, FTTH), performance measurements in LANs, planning and configuration of secure corporate wireless networks (WLANs) and simple router configurations.

Fundamentals of multimedia technology (2D graphics, digital video technology, compression, digital audio and 3D computer graphics), copyright, basic techniques of design thinking, usability and accessibility.

Motivation and benefits of database systems; historical and current data models; the relational data model; consistency and integrity; conceptual and logical modelling, practical implementation; transactions and multi-user operation

Creating and editing MS Word text files and MS Excel spreadsheets and creating professional MS PowerPoint presentations.

In this module, individual learning goals will be defined and documented (error analysis und study journal) based on an individual realistic self-assessment in accordance with the Common European Framework of Reference (CEFR) so that students learn to learn independently. The students learn to structure and recapitulate facts, express their opinion, describe their experience (e.g. school career) and articulate plans. They write simple structured texts, e.g. essays (cause & effect essay, comparison/contrast essay) and summaries at academic level. Students practise listening comprehension of English news broadcasts and presentations on general, business-related and subject-specific topics in the field of information and communication technology (e.g. VOA Special English). The students develop their grammar and reading skills and enhance their informatics and business vocabulary.

In this module, individual learning goals will be defined and documented (error analysis und study journal) based on an individual realistic self-assessment in accordance with the Common European Framework of Reference (CEFR) so that students learn to learn independently. The students learn to structure and recapitulate facts, express their opinion, describe their experience (e.g. school career) and articulate plans. They write simple structured texts, e.g. essays (cause & effect essay, comparison/contrast essay) and summaries at academic level. Students practise listening comprehension of English news broadcasts and presentations on general, business-related and subject-specific topics in the field of information and communication technology (e.g. VOA Special English). The students develop their grammar and reading skills and enhance their informatics and business vocabulary.

Descriptive statistics, fundamentals of probability theory, discrete and continuous distributions, point estimators, confidence interval, hypothesis test, analysis of categorical data, linear models, aspects of data processing for statistical analysis.

Real functions, differential and integral calculus including applications, matrix algebra and applications, Markov chains, interpolation

Students learn the essential basics of theoretical computer science and develop solid foundations in computer programming techniques. A central aspect is the design, analysis and implementation of algorithms as well as the selection and usage of appropriate data types and control structures. The course focuses on structured, imperative programming which also includes the usage of composite data types. The course unit is designed to compensate for different levels of prior knowledge of computer programming.

- Package management - Management of services, processes and scheduled jobs (cron jobs) - Configuration of remote access for secure remote maintenance (SSH, RDP) - Installation and configuration of a central directory for managing identities and resources (e.g. OpenLDAP) - Installation & configuration of elementary IT infrastructure services (DNS, Web server, file server, database server) - Management of secure access to shared resources (SFTP, NFS) - Integration of Windows and Unix/Linux systems (SAMBA, etc.)

- Virtualisation of hardware resources for operating system environments - Design & administration of a platform for server virtualisation (Microsoft Hyper-V) - Design & implementation of basic DNS architectures for name resolution - Design & implementation of distributed file systems (DFS) - Installation & configuration of elementary IT infrastructure services (DNS, DHCP, Web server, file server) - Management of secure access to shared corporate resources (NTFS permission management)

Basics of analog and digital video signals, capture & editing of analog and digital videos, filters, real-time effects (F/X), basics of 3D modelling and use of a real-time graphics engine, basic terms of digital audio editing and microphone technology

Students learn how to use Structured Query Language (SQL) for creating relational structures; retrieve data using joins, groups and subqueries; use automatic implicit and explicit transactions for write access using the Data Manipulation Language; create and use views; grant and withdraw access permission; optimise database access by indexing.

I. Fundamentals of Economics and Business: Economies, sciences, economics vs. business administration. II. Economics: 1. Microeconomics: supply and demand, market mechanisms, market balance. 2. Macroeconomics: unemployment, inflation, GDP. III. Business administration: 1. Basics: production factors, business goals, business sectors, sub-areas of business administration. 2. Constitutive business decisions: choice of legal form and location. 3. Business administration in daily business: a) Materials cycle: purchasing, production, logistics (JIT, ABC analysis, ...). b) Sales and marketing: market research, marketing; marketing instruments and marketing trends. c) Organisation: organisational forms, management, HR. d) Controlling: strategic, operative, tactical controlling (SWOT, GAP, ...). e) Accounting and finance: external/internal accounting (preparation/analysis of annual accounts, cash basis accounting, cost accounting, investment, financing options, ...).

This course unit provides an introduction to cryptography (AES, RSA, ECC, hash), routing and switching using the most common protocols. It involves a theoretical introduction to the OSI layer model, Ethernet framing, switched networks, VLAN, RSTP, MSTP, IP, VLSM and CIDR, IP networks, static routing, RIP, OSPF, route redistribution, BGP, IPv6 and OSPFv3, followed by practical exercises supported by network simulation software.

This course unit promotes self-learning competency and self-study and enhances the grammar skills and business vocabulary at academic level. Students also build up vocabulary in the field of information and communication technologies. Students provide recapitulations, learn about efficient communication strategies and prepare short presentations on relevant subject-specific topics. The students practise understanding and summarising audio and video input (TED Talks) and speed reading comprehension of longer general business and subject-specific texts. Students also learn to write and present short academic texts.

The focus of this course unit is on teaching students how to prepare interesting presentations that are well structured, rhetorically appealing and clearly understandable using different presentation media. Video feedback is used to help students develop their own presentation style and present different topics in a way that is appropriate to the target group.

- Design of a complex Domain Name System structure (DNS) - Installation and configuration of a central directory for the management of identities and resources (e.g. Active Directory) - Configuration of directory replication and federation with a cloud-based directory service (e.g. Azure Active Directory) - Role-based access control (RBAC) - Central configuration management using group guidelines - Central software lifecycle management using group guidelines - Implementation of certificate services (public key infrastructure, encryption and digital signature)

Lecture: IT information security basics; vulnerabilities and threats; two-factor authentication; certificates and PKI, TLS/HTTPS; explanations and definitions, approaches and methods, standards, regulations, motivation; use and application, possibilities and limitations, detailed implementation, planning and architecture Tutorial: Use of different tools & hardware, fundamentals of TCP/IP communication, function and configuration, router and firewall configuration, use of switches for structured enterprise networks; structure & use of access control lists different between router and firewall, basics of LAN security, virtual private networks

This module provides an introduction to object-oriented programming based on Module 08. This knowledge is implemented in practice by developing mobile applications for Android smartphones. Programming training is supplemented with the fundamentals of software engineering (process models, requirements management, testing, version and configuration management).

Development of complex SQL queries, development of triggers, stored procedures/functions/packages based on both MS SQL-Server and Oracle; process models; application of software engineering in database development; implementation of a practical project

Introduction to multimedia programming and visualisation of 1D, 2D and 3D data; animation techniques, integrating different media data (image, text, fonts, audio, video and 3D objects) into an overall application; publishing and testing the final application

Area 1: Introduction to data science - Overview of the field - Key terms - Applications - Societal and legal context - Future perspectives Area 2: Overview of key data science methods, e.g. - Multivariate statistics and data mining - Fuzzy logic - Bayes networks - Decision trees - Neural networks - Genetic and evolutionary methods - Agent-based methods and swarm intelligence - Monte Carlo methods

Accounting: External vs. internal accounting, investment appraisal and financing. Key accounting terms: Cash receipts, income, proceeds/revenue, output vs. cash payments, expenses, charges, costs. Accounting acc. to UGB/IFRS: Elements of annual accounts, obligation to prepare annual accounts, overview. Cash basis accounting Balance sheet analysis: Analysis of earnings, financial and assets position; key performance indicators. Cost accounting: Absorption costing and variable costing; cost type, cost centre and cost unit accounting; profit and loss accounting and decision accounting (bottom prices, break-even point, production programme planning, ...). Static and dynamic investment appraisal methods: Cost, profit, profitability comparison method method, payback method, net present value, annuity method, internal rate of return. Forms of financing

The course unit gives an introductory overview of the basics of normative business management. This provides the basis for presenting and discussing the strategic and operative aspects of business management. The fundamentals of planning and control, corporate organisation (structural and procedural organisation) as well as leadership models and aspects will also be discussed. Entrepreneurial thinking and the course content are expanded and consolidated by discussing case studies and developing business models.

This course unit provides a basic introduction to project management and aims to enhance the understanding and practical application of project management in a comprehensive project scenario. The project theory presented will be discussed in small project teams and will be practised and implemented by the students in the form of competence drills. Each student will finally document and interpret the project content and results in writing. Collaboration with a course unit from another module of this semester are designed to promote the interdisciplinary approach both in direct/indirect and synchronous/asynchronous exchange with the lecturer.

The course unit deals with the fundamentals of different communication theories, starting from the models developed by Paul Watzlawick and Schulz von Thun. The focus is on developing and experiencing one’s own communication skills in different situations. The students learn to develop strategies for improving their communication skills and promoting active listening. In addition to providing theoretical knowledge the unit also focuses on practical exercises in which students learn to recognise and optimise their own communication patterns. They are made familiar with discussion models and communication strategies for successful conflict management (e.g. Harvard concept) and apply them in practical exercises. The unit also promotes the students’ personal development and outlines successful communication within companies.

This course unit develops and consolidates the professional linguistic abilities and skills (e.g. effective communication within a team, English for decision makers, English for business trips) using subject-specific texts and topics related to the key subjects taught on the Bachelor’s degree programme in Information Management. Exercises include short simulations, discussions and presentations on subject-specific business topics. A focus is also placed on providing students with professional vocabulary used in different business contexts (e.g. HR, marketing, accounting, finances, international trade, business ethics, quality management, project management). Links to other subject-specific course units are designed to provide students with a practical learning environment.

- Models for cloud computing provision (private cloud, public cloud, hybrid cloud) - Cloud computing architectures (XaaS, edge computing, fog computing) - Cloud native design (microservices, APIs, endpoints) - Modelling of cloud service architectures and virtual networks - Resource, user and group administration - Access control and authentication - Data storage (table storage, file storage, blob storage, data lake) - Data query and manipulation - Logging and monitoring of cloud services

- Planning and management of demand-driven cloud scaling - Automatic scaling of virtual computers and containers - Creating highly-available scalable cloud applications and APIs - Horizontal scaling of Big Compute and Big Data applications - Management of integrated load balancing - Developing event-driven, serverless architectures - Service provision across multiple availability zones

Characteristics and applications of mobile networks: Network architecture and services Parameter for measurements in wireless networks (signal power, quality, bit error rate, jitter, availability...) 4G and 5G mobile networks Wi-Fi 5 and 6 Internet of Things (LPWA: LoRaWAN, ZigBee, LTE-M, NB-IoT)

Introduction and fundamentals of interface programming, microcontrollers and sensor technology; differences between and applications of different analog and digital sensors; different interface options (e.g. I2C Inter-Integrated Circuit) and processing; data optimisation and filtering of disturbances (median, mean, thresholds, etc.); use of data for real-time control of interface elements for different real-world applications such as industry, Smart Home, Internet of Things and accessibility.

This course unit is about classical server-centred web applications with a focus on practical applications using the Java enterprise stack. It provides the fundamentals of HTTP and all aspects of web application development. This includes token-based security mechanisms and the possibility of mapping an object-oriented data model to relational databases (OR mapping).

Fundamentals and aims of business process management (BPM), terms and definitions, process controlling, the phases of the BPM lifecycle model, methods and procedural models of process analysis and modelling, models in IT in general, modelling of business processes using a formal notation such as BPMN 2.x, fundamentals of model verification and validation, BPM maturity models, integration of BPM in a corporate architecture, relationships between business processes and corporate information systems.

Fundamentals and aims of quality management (QM), terms and definitions, QM standards (e.g. ISO 900x), audit and certification of quality management systems, the EFQM model, Total Quality Management, Kaizen/CVP, Six Sigma, selected methods of statistical process control, QM methods and tools, applications of QM in IT (computer integrated quality).

Principles of information security and data protection; fundamentals of the General Data Protection Regulation (GDPR) and the Data Protection Act (DSG); overview of the ISO 27000 series, in particular ISO 27001 and ISO 27005; IT baseline protection (BSI Grundschutz); VdS guidelines (VdS 3473 and VdS 10000); Risk assessment; information security guidelines and regulations; Case studies and best practices for ISMS implementation

This course unit prepares students for writing a Bachelor's thesis in one of the key areas of the degree programme. This includes clarifying and critically discussing key terms such as 'science' and 'academic paper'; typical structure and thematic criteria of academic papers, different forms of scientific questions and how they are formulated, the corresponding thematic planning and methodological implementation of the planned research project; methods of source and literature research, including qualitative evaluation and use in the text as well as forms of citation. Students will practise their skills of reflection and critical discussion in academic papers and develop an independent working style.

This course unit develops and consolidates the professional linguistic abilities and skills using subject-specific texts and topics related to the key subjects taught on the Bachelor’s degree programme in Information Management. Students practise writing academic texts, such as abstracts, and scientific papers on information technology topics. Mini-presentations on subject-specific academic and business topics provide additional vocabulary for a future career in the field.

The seminar helps students develop and experience their own communication behaviour in different situations. They are given an insight into their own communication patterns and analyse these patterns using self-reflection and peer feedback based on elements from systemic theory, group dynamics and coaching. The students apply the acquired knowledge of conflict management and coaching in practice, develop coaching units and implement them in small teams.

This course unit provides basic knowledge of the operational tasks and processes within companies, especially production and logistics companies. Operations management (OM) focuses on the efficient and effective provision of products and services using limited resources. The topics discussed include production planning and inventory management (MPS and MRPII), parts lists and work schedules, batch processes, queuing systems and stochastic processes, production control systems, just-in-time und supply chain management concepts. Specific topics related to digital factories will also be dealt with and discussed in the context of digital transformation. The theoretical fundamentals and practical methods of process simulation will be discussed and applied in order to support and consolidate the aspects of application.

This course unit focuses on highly interactive single page applications based on popular JavaScript application frameworks. The interaction with the server is via secure REST interfaces. The necessary basics are provided in the course unit, which also deals with responsive design to round off the technical skills.

Coaching and assistance in finding a topic and defining the content of the second project-oriented Bachelor's thesis which is assigned to the project to be carried out in the 5th semester. A supervisor supports the student in writing his/her Bachelor's thesis. The topic of the Bachelor's thesis is to be selected according to the project. The aim of the thesis is to generate subject-specific scientific findings, develop them for publication and apply them in practice as part of the associated interdisciplinary project.

Independent application and use of key methods and tools of project management using the project as a case study. The course unit also includes general coaching, discussion and reflection of typical project situations using the projects as examples.

The objectives of this course unit are manifold. On the one hand, it aims to expand the professional expertise of the degree programme by investigating innovative topics from the respective research areas and by publishing relevant results. On the other hand, the projects also serve to transfer the expertise of the degree programme to external partners and/or customers. The detailed goals for the students include the following: promoting and improving teamwork (coordination, communication, interaction), learning problem- and goal-oriented approaches, implementing the acquired knowledge and combining it with new topics, identifying and solving problems analytically and systematically, taking a synthetic and efficient approach to achieve the defined project goals, professionally presenting the project results. The project is carried out in close connection with the Bachelor's thesis. The results of the Bachelor's thesis are fed into the project …

This video-assisted course unit aims to provide students with the English skills required for business meetings. Meetings are simulated in case studies in order to improve the communication strategies required for the profession. The students learn how to successfully plan (agenda), carry out and document business meetings (meeting minutes). The technical vocabulary (phrases) will be jointly developed, deepened and improved.

Identity as a Service - authentication protocols, identity federation Desktop as a Service - virtual desktop infrastructure, remote apps, digital workplace Platform as a Service - application virtualization & scalability, container administration Function as a Service - serverless computing Infrastructure as a Service – cross-cloud computing & migration Artificial Intelligence as a Service - intelligent bot services, cognitive services, knowledge mining

This course unit provides an introduction to Internet of Things platforms and applications. The focus is on transferring high-frequency data as typically generated by sensor networks. These data are subsequently processed as data streams (stream processing) and persistently stored. The unit also presents tools and methods for querying, processing and presenting these data in a clearly structured manner.

Definition of terms and fundamentals, profitability factors (IT cost/benefit categories), elements of value creation and process cost accounting, corporate accounting (cashflow, profit and loss account, balance sheet), different investment appraisal methods (ROI, payback, NPV, IRR, …), cost, benefit and profitability models, data collection, data processing and data analysis, project controlling.

Area 1: Repetition and consolidation - Repetition and consolidation of key concepts of combinatorics, probability theory and univariate statistics Area 2: Overview of interdependence methods: - Principal component analysis - Explorative factor analysis - Nearest neighbour classification - Cluster analysis - Partial least squares regression - Support vector machines - Multidimensional scaling Area 3: Overview of dependence methods: - Multivariate linear, non-linear and logistic regression - LASSO (least absolute shrinkage and selection operator) - Discriminant analysis - Variance analysis - Confirmatory factor analysis Area 4: Visualisation: - Common visualisation methods of multivariate statistics

Practical introduction to a selected ERP system (e.g. MS Dynamics NAV): basic configuration and initialisation, typical functionalities in sales, purchasing, logistics and production.

Legal fundamentals. principles of the Austrian Federal Constitution; basic structure of public administration, EU development, EU bodies, EU institutions, EU standards, legal transactions, contractual law/fundamentals, selected contract types, law of damages, intellectual property law/ fundamentals and copyright law, trade law, data protection law, telecommunication law (including projects and presentations)

This video-assisted course unit aims to provide students with the English skills required for professional presentations. The students learn how to prepare effective and interesting presentations in English and present them in a manner appropriate to the target audience. The technical vocabulary (phrases) for presentations will be jointly developed, deepened and improved. The use of different media and visualisation techniques will be discussed and applied in practice.

The students undertake an internship at a company subject to ongoing reporting obligations. The students are required to practically apply what they have learned in an authentic environment. The details of the internship are agreed between the company and the student within the framework of the subject taught on the programme.

This seminar accompanies the internship. It provides quality assurance for the internship and addresses the following topics/areas: project management, project documentation, formal framework conditions of the internship and dealing with problems at the workplace. The internship seminar provides the students with the skills required for reliable and precise project work, documentation and communication.

The board examination is carried out in accordance with the requirements for final examinations at FH Bachelor's degree programmes pursuant to FHStG as amended.

ISP business models and access network technologies (xDSL, HFC, 5G, FTTx; satellite networks and new approaches such as balloon platforms and autonomous drones); backbone networks (submarine cable networks, optical transmission networks and DWDM)

Scalable Internet services using content delivery networks (CDNs); ensuring Internet stability and openness – network neutrality and Internet governance; Internet core technologies (submarine cable networks, high-speed optical networks, BGP, MPLS); sustainable infrastructures: green IT and green web, optimising resource use along the entire lifecycle.

This seminar gives the students the opportunity to learn about current innovations and trends in the field of software engineering. The students will prepare the topics and present them in the form of workshops and presentations. Critical analysis is encouraged by discussions on the potential impacts of these trends, methods or programming languages on the software engineering environment.

This course unit provides an introduction to the iterative user-centered design process and the associated usability methods. Software projects are explored from the perspective of users, who are involved in all phases – from initial and detailed design to development and evaluation. Reflection on software projects developed by the students in the first five semesters also forms an integral part of this course unit.

This course unit provides a critical analysis of the topic of digital transformation with a focus on business management aspects. This includes analysing typical business process models (architectural patterns) and exploring possibilities of significantly increasing competitiveness through the digital transformation of business models using existing and future (disruptive) digital technologies. Fields of innovation may include: the Internet of Things, the digital factory and Industry 4.0, big data and analytics, artificial intelligence and machine learning, blockchain, etc. The course unit also addresses the changes this implies for business management as well as structural and procedural organisation.

The students independently prepare a relevant current topic from the field of business informatics, including presentation and discussion in a plenary session.

Area 1: Fundamentals - Overview of modelling and simulation - Fundamentals of systems science, cybernetics and control engineering Area 2: System dynamics - Causal loop diagrams & matrices, pulse models - Markov chains - Differential equations, initial value problems and numerical integration - Equilibria and stability of differential equations Area 3: Agent-based modelling - Cellular automata, self-organisation and emergences - Characteristics of agents and agent-based models - Describing agent-based models using an ODD protocol - Overview of established agent-based models

Following a recapitulation of the basic methods of artificial intelligence, the students independently explore a specific topic (method or application), present their results and discuss them with their fellow students.