Basic concepts of operating systems are presented. The lecture explains how processes and threads interact in an operating system. For the practical application of the theoretical concepts, the exercises are provided, which mainly use Linux operating systems. The concepts are illustrated by means of programming examples. Deadlocks are identified and resolved. The operating systems are used in a virtual environment.

In particular the lecture covers the following contents:

• Processes and threads
• Memory management
• Deadlocks, Livelocks, Monitor, Semaphore
• File systems
• Input and output
• Virtualisation
• IT-Security
• Unix, Linux
• Windows

• After completing the ILV, students will be able to identify, create, pause and terminate processes and threads.

• After completing the ILV, students will be able to explain the differences between stack and heap.

• After completing the ILV, students will be able to identify and resolve deadlocks and livelocks independently.

• After completing the ILV, students will be able to virtualize operating systems.

• After completing the ILV, students will be able to use the basics of system-oriented programming under Linux and Windows.

Students' presentations, exercises, lecture presentation

Final exam: Individual work

In order to understand the structure and operation of current computer systems, this course takes a bottom-up approach. Starting with the bits and bytes, more complex components are assembled from the basic logical functions. In particular, the understanding of the structure of a microprocessor and the interaction with the bus system, the program and the data memory are learned with integrated practical exercises.

The course covers the following content in particular:

• Digital technology (Boolean algebra, gates, flip-flop, registers, number systems)
• State machine (state graphs, switching systems)
• Computer architectures (basic computer structures, von Neumann architecture)

• After completing the course, students will be able to formulate problems using logical expressions.

• After completing the course, students will be able to display data in different formats (binary & hex).

• After completing the course, students will be able to map processes in the form of state machines.

• After completing the course, students will be able to explain the structure of a computer and how the most important components work.

Lecture and practical exercises (on paper, on the PC, in the lab)

Final exam: Group work

The course provides basic concepts of object-oriented programming using the programming language Java. Concepts of programming languages ​​such as control structures, elementary data types, data structures, classes, objects, and methods are taught. Furthermore, the design of programs, as well as their analysis and techniques for debugging, tracing and testing is included. Working in small groups on a project promotes teamwork and self-organization.

The LV covers in particular the following contents:

• Basics of programming
• Variables and data types
• operators
• control structures
• Error Handling
• Basics of object orientation
• inheritance
• polymorphism
• Abstract classes
• interfaces
• Data Structures and Generics

• After completing the course, students are able to grasp practical tasks and problems and then translate them into programs.

• After completing the course, students will be able to structure problems and processes and recognize their interrelationships.

• After completing the course, students will be able to describe Java language concepts (syntax and semantics) in their own words and apply them to specific situations.

• After completing the course, students will be able to handle suitable state-of-the-art software development tools and use them for collaborative work in a team of developers.

• After completing the course, students will be able to analyze and test existing software and pieces of code and to detect and correct errors.

Short impulse lectures, immediate applicaton of the gained knowledge in practical exercises, group work, presentations, learning diaries

Final exam: Group work, practical exercises

Basics     

• Software projects require teamwork: teams & IT project process models, teams & modern software development processes
• Indicators and success criteria of teamwork

Team development

• Phase Models & Team Roles
• Personality structures & personal development potential
• Team culture, team rules & goal agreements
• Give feedback and accept feedback, retrospective
• Change & emotions
• Communication & Information: Solutions from the classic and agile software project world  
• Leadership in the "IT world"; Generation Y, Z, Alpha & Co?

Problems and disruptions in teams

• Conflicts, conflict discussions and solution strategies
• Intervention techniques and group mediation: what to do when it crackles?
• Psychological Safety; KPIs and measurement of "team quality"

• After completing the course, students will be able to explain and evaluate selected models and tools in the field of team development and team roles - with a focus on software development teams - and independently derive and apply them for their own practice.

• After completing the course, students will be able to analyze the causes and development of conflicts, develop possible solutions and use discussion techniques constructively.

• After completing the course, students are able to give feedback to other team members as a member of a team and to accept feedback themselves.

• After completing the course, students are able to take on an active, reflective role in a team, develop rules for cooperation and apply them in practice.

Theory lecture blocks including ScreenCasts (short videos). Practical exercises with role games or case studies. Networking with the software projects of the LV programming 1 in order to be able to apply the lessons learned from the LV teamwork in these projects.

Final exam

• Arithmetic: Number sets, complex numbers (representations and arithmetic operations).
• Linear Algebra: Calculations with vectors, matrices, and determinants. Methods for solving systems of linear equations.
• Calculus, fundamentals of functions, continuity, differentiation, and integration.
• Complete induction.
• Number Theory—Fundamentals of divisibility and prime numbers.

• Students can explain and apply the mathematical fundamentals of arithmetic and linear algebra as prerequisites for the use of mathematics in computer science.

• Students can explain and apply the mathematical foundations of number theory and analysis as a prerequisite for use in cryptography in computer science.

Lecture

Final exam

• Arithmetic: Number sets, complex numbers (representations and arithmetic operations).
• Fundamentals of discrete mathematics, algebra, and number theory.
• Linear Algebra: Calculations with vectors, matrices, and determinants. Methods for solving systems of linear equations.
• Analysis, fundamentals of functions, continuity, differentiation, and integration.
• Mathematical induction.

• Students learn to apply mathematical concepts from linear algebra, calculus, and number theory, which are fundamental to computer science.

• Students learn to understand and work with abstract concepts.

Exercises supporting the contents of the lecture, consolidation of the concepts from the lecture and application of the methods taught in the lecture to problems in theory and practice.

Final exam: Inherent assessment based on participation and presentations

Networks are essential for communication and IT. Whether in the field of embedded systems, web applications or middleware - understanding the network layers and protocols is crucial. This course focuses on the lower network layers (OSI L1-L3). Students will learn how protocols work and can be used on different network layers.

The course covers the following content in particular:

• Network protocols, models and layers (TCP/IP, OSI)
• Overview of L1 and L2
• Ethernet
• L2 switching, Spanning Tree Protocol, VLANs
• Physical and logical addressing
• ARP, IP, ICMP
• Configuration of switches, VLANs
• Observation of STP
• Protocol analysis on L2 and L3
• In-depth IPv4, IPv6
• Connectivity without routing; routing basics
• DHCP, NAT

• After completing the course, students will be able to compare OSI and TCP/IP network models and layers, explain examples of functions, protocols, PDUs and devices at the respective layers, and explain the data encapsulation and decapsulation process using the models.

• After completing the course, students will be able to build and configure a switched network, explain the relationship between IP and VLANs and set them up in the network.

• After completing the course, students will be able to explain the necessity of an explain and demonstrate the necessity of an internetwork protocol and routing.

• After completing the course, students will be able to configure networks with simple static, RIP or OSPF routing.

Hands-on exercises with network devices, a protocol analyzer, simulations; Cisco Networking Academy online learning platform; lectures.

Final exam: Work done in teams; final exam

Relational and object-relational database systems are a central component of many IT infrastructures and web-based online services. This basic course covers the design of such systems, interactive work (SQL - Structured Query Language) and the programming and web connection of such systems. A practical implementation project serves to consolidate what has been learned.

• Fundamentals and architectures of database systems
• Transaction concept
• Entity Relationship (ER) model and ER design
• Relational model, database design and normal forms
• Database implementation with SQL-DDL
• SQL as a query language
• Database programming (overview of persistence and ORM)
• Database connection to the WWW
• Practical design tasks

• After completing the course, students will be able to explain the basic concepts and architectures of database systems and relate them to each other

• After completing the course, students will be able to explain the ER model

• After completing the course, students will be able to explain the relational model

• After completing the course, students will be able to explain the use of persistence frameworks and the basic concepts of DB/web connection

Lecture, distance learning support and seminar presentations.

Final exam: Assessment of presentations

Building on the contents of Programming 1, in the ILV Programming 2 in-depth concepts of programming with Java are presented. The focus is on a good structuring of the program, which also builds on the design patterns and with the goal of developing a clean object-oriented solution for a task. Furthermore, in-depth concepts in programming are discussed, which make the creation of a program easier and represent the current state of programming concepts.

The course covers the following topics in particular:

• Design patterns and their implementation in code
• Writing Junit test cases to methods and developing the programs in modular fashion to make them testable.
• Explanation of the 3-tier architecture and implementation using a practical task.
• Multi-threading in Java and implementation using a practical task.
• Use of Java libraries and frameworks.
• Advanced programming concepts such as Java Streams and Lambda Expressions.

• After completing the course, students will be able to build a Java program according to the 3-layer architecture.

• After completing the course, students will be able to define unit tests for methods and implement the tests.

• After completing the course, students will be able to apply Java Streams.

• After completing the course, students will be able to use Java Lambda Expressions in a program.

• Upon completion of the course, students will be able to create a program with multiple threads.

• After completing the course, students will be able to create a simple user interface with Java.

Theory lecture with suitable practical exercise part

Final exam: Group work

• Algebraic Structures
• Modular Arithmetic and Cryptography: Application of number theory in residue classes, computations with residue classes, Euler’s theorem, the Chinese Remainder Theorem, prime residue classes, the RSA algorithm.
• Graph Theory: Directed and undirected graphs, Eulerian graphs, Hamiltonian graphs, networks. PageRank algorithm.
• Probability Theory: Markov chains.
• Advanced Topics in Linear Algebra: Vector spaces, function spaces of periodic functions, orthogonality, eigenvalues and eigenvectors. Linear combinations of vectors, orthogonality of vectors.
• Fourier Transform.

• Students are able to understand and apply the mathematical principles of cryptography.

• Students are able to explain vector spaces (especially function spaces), orthogonal bases and the orthogonal approximation of functions.

• Students are able to apply the fundamentals of graph theory that are important for computer science.

• Students are able to recognize and work with abstract algebraic structures.

Lecture

Final exam

- Algebraic structures
- Modular arithmetic and cryptography: Application of number theory in residue classes, arithmetic with residue classes, Euler's theorem, Chinese remainder theorem, prime remainder classes, RSA method.
- Graph theory: Directed and undirected graphs, Euler graphs, Hamiltonian graphs, networks. Page rank algorithm.
- Stochastics: Markov chains.
- Advanced topics in linear algebra: vector spaces, function spaces of periodic functions, orthogonality, eigenvalues and eigenvectors. Linear combination of vectors, orthogonality of vectors.
- Fourier transformation.

• Students are able to understand and apply the mathematical principles of cryptography

• Students are able to explain vector spaces (especially function spaces), orthogonal bases and the orthogonal approximation of functions.

• Students are able to apply the fundamentals of graph theory that are important for computer science.

• Students are able to recognize and work with abstract algebraic structures.

Practice of the content taught in the corresponding lecture using examples, consolidation of the concepts taught in the lecture and application of the methods taught in the lecture to problems in theory and practice.

Final exam: Individual work

Digital networks and the applications based on them dominate all business processes and also private areas of life today. The protocols of the transport and application layers of the IP protocol stack form the basis for these network applications. User acceptance and thus the success of a network application is essentially determined by its scalability and performance, in addition to its usability. The chosen protocols and the architecture of a network application are decisive for this.

The course covers the following contents in particular:

•     Basic concepts of network applications
•     Server-client, peer-to-peer and mixed architectures for network applications
•     Selected protocols of the transport and application layer
•     Implementation of network services (web, email, FTP)
•     Use of defacto industry standard applications for network services
•     Development of network applications

• After completing the course, the students are able to evaluate, select and independently use different protocols of the transport and application layer with regard to their suitability for the development of network applications.

• After completing the course, students are able to explain, evaluate and apply selected concepts and architectures for the development of network applications.

• After completing the course, students are able to implement network applications independently based on a given requirements definition.

• After completing the course, students will be able to independently analyse, identify and solve network and application problems within the framework of a systematic methodology.

Lecture, practical exercises, distance learning tasks

Final exam: Theoretical exam

Practical exam (Individual work)

• Presentation techniques and methods
• Preparation, structure and the actual presentation
• Body language, voice, intonation
• Feedback, Q&A and discussions
• Research and handling of scientific sources and material

• Students are able to get and keep the listeners´ attention.

• Students can professionally use presentation language.

• After completing the course, students will be able to use body language and facial expressions effectively.

• After completing the course, students will be able to use rhetorical devices (intonation, articulation).

• Students can handle a Q&A session and establish a good rapport with their audience.

• Students know how to apply gravitas and self confidence in their talks.

Interactive team work, role plays, presentations

Final exam: Class/online participation, revision exam, distance learning and presentations

Web Technologies are the technologies used for a static or dynamic presentation of content on the Web. The ILV addresses both infrastructural technologies (web servers, cloud services), content processing technologies and the technologies required for their implementation. The course covers in particular the following contents:

• Historical development of the Internet

• Technology and background

• HTTP protocol

• Rest & MVC

• Creating static websites using HTML5 and CSS3

• Fundamentals in JavaScript, PHP and Frameworks

• Responsive Web Design

• Javascript Libraries

• Security aspects of web technologies

• The students know the most important web server applications (Apache, nginx, lighttpd) and can install at least one of them

• Students know the theories and concepts of modern web servers such as: http, https, proxy, REST full API's, asynchronous communication, and the most important design patterns

• Students can use HTML5, CSS3, JavaScrip, PHP, bootstrap to create simple responsive web pages and publish them to one of the above mentioned servers.

• The students know the most important possible attacks on websites and countermeasures (SQL injection, DDOS, XSS, ...)

Presentation of topics by the students, practical exercises, lecture

Final exam

DevOps describes the methodical and technological convergence of software development (Development) and systems operations (Operations) to accelerate deployment cycles and increase software quality. The course covers essential command-line tools, concepts of containerization, and automated build processes (CI/CD), as well as the underlying infrastructure required for deploying modern applications.

The course covers in particular the following topics:

• Development Environments and Version Control: Utilization and control of the CLI (Bash/ZSH), file and process management, network diagnostics, and advanced version control with Git (branching strategies, rebasing, squashing).

• Automation and Scripting: Creating shell scripts to automate administrative tasks as well as background job management.

• Foundations of Containerization: Theory and practice of containers using Docker (images, layers, volumes, networks, caching) and multi-container orchestration for local environments using Docker Compose.

• Optimization and Security of Container Images: Building lean and secure Dockerfiles using multi-stage builds and distroless/non-root configurations.

• CI/CD and Git Platforms: Core principles of Continuous Integration and Continuous Delivery, and designing automated pipelines using build agents/runners, artifacts, and secrets management.

• Environments and Deployment Strategies: Structuring software environments (Dev, QA, Staging, Prod) and applying modern deployment types (Rolling, Blue-Green, Canary).

• Reverse Proxies and TLS Termination: Configuration and inner workings of Nginx as a reverse proxy and load balancer, including TLS encryption and header forwarding.

• Students are able to explain the foundational concepts of DevOps, version control, container isolation, and automated build processes.

• Students are able to efficiently automate administrative tasks and deployments using shell scripts.

• Students are able to write Dockerfiles according to current best practices (multi-stage, security, minimal image size) and locally orchestrate multi-container applications. Students are able to define automated CI/CD pipelines, debug errors, and securely handle sensitive data within them. Students are able to deploy web applications behind an Nginx reverse proxy with TLS encryption and configure basic deployment types.

Lecture, live-coding demonstrations, guided self-study through practical exercises

Continuous assessment: Individual work

In the Internet of Things (IoT), physical objects are networked and made virtually available via digital networks such as the internet. In addition to the simple and cost-saving network connection of these objects, the development of automated digital network services that realize the additional benefits of networking is the goal of the IoT. The IoT goes hand in hand with terms such as Industry 4.0 and ubiquitous computing.

The course covers the following content in particular:

• IoT network architecture and design
• Smart objects
• IoT constraints
• Selected IoT access technologies
• Adjustments to the IP stack for the IoT
• Application protocols for the IoT
• IoT in the industry

• After completing the course, students will be able to explain and evaluate concepts and architectures for the IoT.

• Upon completion of the course, students will be able to explain and define the requirements for the IoT technologies to be used in specific applications.

• After completing the course, students will be able to explain and assess various IoT access technologies and select them for specific tasks.

• After completing the course, students will be able to present and evaluate application protocols for the IoT and apply them to specific tasks.

Lecture, practical exercises, distance learning tasks

Final exam: Group work

The course gives a basic overview of the technical and organizational aspects of IT security, and defines the most important terms and technologies in this context.

The LV in particular covers the following contents:

• Protection goals
• Asymmetric and symmetric primitives (AES, RSA, ECC) and their practical applications
• PKIs
• TLS/HTTPS
• Firewalls Fundamentals (types, possible uses, limitations)
• ID(P)S Fundamentals (types, applications, limitations)
• security awareness

• After successful completion, students will be able to identify the differences between and applications of symmetric and asymmetric cryptography.

• After successful completion, students will be able to select current algorithms for selected cryptographic primitives (symmetric, asymmetric, hashing, key exchange) with adequate security requirements.

• After successful completion, students will be able to evaluate and classify basic security measures in IT networks (firewalls, ID(P)S).

• After successful completion, students will be able to implement basic procedures and strategies with regard to maintaining a given security level.

practical (lab) exercises, lecture

Continuous assessment

• Mathematical Basics of AI and Data Science
  • Linear Algebra
  • Probability Theory and Statistics
  • Optimization
• Introduction to Artificial Intelligence
  • Problem Solving and Heuristic Search
  • Logic and Knowledge Representation
  • Planning, Learning and Decision Making under Uncertainty
• Data Science and Machine Learning Fundamentals
  • Data Collection, Cleaning, Filtering
  • Model Building
  • Model Evaluation
  • Definition of Machine Learning and classes of Machine Learning Algorithms
  • Machine Learning Classifiers
  • Evaluation of Machine Learning Algorithms

• After completing the course, students get a firm background underlying principles and algorithms of artificial intelligence and data science

• After completing the course, students are able to understand, critically evaluate and develop basic AI and data science algorithms

• After completing the course, students have a solid foundation for understanding advanced AI and data science algorithms and methods like Deep Learning

- Lecture
- Group work (project)
- Practical exercises
- Continuous Discussion and feedback

Continuous assessment: - Project work

- Exercises during lectures

- Final written exam

Understanding of the process of scientific work and writing scientific articles.

• Upon completion of the course, students will be able to conduct systematic literature searches.

• Upon completion of the course, students will be able to interpret relevant scientific literature, summarize results and critically compare them.

• Upon completion of the course, students will be able to write a seminar paper as a scientific paper.

Lecture, Case Studies, Seminar Paper

Module exam

The goal of this integrated course is to explain the technical, organizational, and economic aspects of software engineering. It presents organizational approaches to structuring software development in the form of process models, such as the waterfall model, the spiral model, and agile models. With regard to the technical aspects of software engineering, the focus is particularly on requirements engineering, object-oriented analysis and design, UML modeling, high-level design, and software testing.

The course is divided into a theoretical and a practical component. In the theoretical component, key concepts of software engineering are taught through lectures and blended learning elements and applied in practice for the first time, particularly through the creation of specification and design documents. In the subsequent practical section, students work in teams using a challenge-based learning approach on projects based on their own ideas. The project work is supervised by instructors who provide expert guidance and feedback.

The course covers the following topics in particular:

• Software engineering activities,
• Requirements engineering,
• Software Requirements Specification,
• use cases,
• High-Level Design,
• UML Activity Diagrams,
• UML Class Diagrams,
• UML Sequence Diagrams,
• Software Testing,
• Software Process Models,
• Agile software development,
• Challenge-Based Software Development in a Team.

• Upon completion of the course, students will be able to analyze software engineering methodology models and process components and select them for project contexts, taking into account risk, change dynamics, and effort.

• Upon completion of the course, students will be able to derive consistent, complete requirements from stakeholder goals and use cases and document them using templates.

• Upon completion of the course, students will be able to design an object-oriented high-level architecture and model it using UML class, activity, and sequence diagrams in a manner consistent with the requirements and in accordance with established modeling conventions.

• Upon completion of the course, students will be able to evaluate UML-based modeling and software design strategies and apply them to the structured design of solutions in accordance with specified guidelines and design principles.

Blended learning, guest lectures, experiential learning, coaching, challenge-based learning, project-based learning, teamwork, peer feedback, professional reflection

Continuous assessment: Final exam, individual and group assignments, discussions on professional reflection

Project management is the application of knowledge, skills, tools and techniques to project activities in order to fulfill project requirements. The project manager has the task of fulfilling the stakeholders' expectations of the project.

The course provides an introduction to the knowledge areas of project management:

• Integration management
• Content and scope management
• time management
• cost management
• quality management
• personnel management
• Communication management
• risk management
• Procurement management
• Project Stakeholder Management

• After completing the course, students will be able to explain and independently apply basic concepts, methods and tools for initiating, planning, implementing, monitoring and completing projects

• After completing the course, students will be able to apply elementary PM techniques in a structured manner according to project requirements

• After completing the course, students will be able to create a project management plan tailored to the project for a given requirements definition and adapt it during the entire project life cycle

Lecture

Final exam

Students learn to put their theoretical knowledge of projects and implementations into practice by means of a practical, concrete task. They act autonomously and independently and document their work in a comprehensible and detailed manner. It is possible to work on an industrial R&D project or on current problems within the framework of the R&D activities of the UAS.

• After completing the course, students will be able to apply project management methods to a specific project.

• After completing the course, students will be able to develop requirements based on a problem and design a solution.

• After completing the course, students will be able to independently implement and/or configure software in accordance with requirements.

Group work, practical project implementation accompanied by exercises and coaching.

Final exam

The course deals with algorithms and data structures. In the lecture part, only pseudocode is used to represent the algorithms in order to express their general validity. In the practical part of the course, the understanding of the most important algorithms and data structures is deepened by implementing them in Java. At the same time, programming skills are further developed. At the same time, programming skills are further consolidated and the understanding of existing libraries is sharpened.

The course covers the following content in particular:

• Recursion
• O Notation
• Classes of algorithms (divide & conquer, brute force, greedy, etc.)
• lists
• Hash tables
• Tree structures
• heaps
• graphs
• Sorting algorithms (Selection Sort, Quick Sort, etc.)
• Search algorithms (linear search, binary search, binary and balanced search trees)
• Algorithms for text searches (brute force, Knuth-Morris-Pratt, Boyer-Moore, pattern matching)
• Graph algorithms (depth-first search, breadth-first search, shortest paths, maximum flow)

• After completing the course, students will be able to select suitable data structures for specific applications and problems and implement them in practical tasks.

• After completing the course, students will be able to think "algorithmically" and outline this algorithmic way of thinking in the form of pseudocode.

• After completing the course, students will be able to assess and evaluate the effort and efficiency of any algorithms.

• After completing the course, students will be able to understand the essential and basic sorting, search and graph algorithms of computer science and program them themselves.

Lectures, practical exercises, small group work, presentations, learning diaries

Final exam: Group work

Students will be able to discuss the state of the art in HCI and apply aspects of HCI in innovative solutions for machine translation technologies. Students will have a good overview of the most important HCI methods and techniques and a deep understanding of how to apply them in practice.

Contents:

• Psychological aspects of HCI
• User friendliness
• User research
• Benchmarking of usability
• Interaction design
• prototyping
• Methods for examining and testing usability
• Usability in practice

• After completing the course, students will have a solid understanding of communication between humans and computers.

• After completing the course, students will be able to explain and apply the underlying psychological and technical aspects of HCI.

• After completing the course, students will be able to evaluate innovations in the field of human-computer interaction technologies.

Lecture, practical exercises, case studies

Final exam: Group work

Economic activities performed within a company comprise mainly the following aspects:

• Entrepreneurship
• Legal framework
• Strategy
• Organization
• Employees
• Customers/market
• Production
• Finance/Management accounting and control

In this class, these aspects are first worked out theoretically and repeatedly supplemented with practical case studies, whereby the focus will be on the following topics:

• Entrepreneurship in the economy
• Most common forms of business in Austria
• Different forms of organization in the company
• Various management styles in the company
• Concepts of marketing
• Insight into strategic and operational management accounting and control
• Basic accounting guidelines

• Upon completion of the course, students will be able to name various aspects of economic activity in a company.

• After completion of the course, students will be able to classify and apply technical vocabulary relevant to practice.

• After completion of the course, students are able to implement general business management actions in everyday business life.

• After completing the course, students will be able to identify the strategic objectives in a company and make a positive contribution in their implementation.

• Upon completion of the course, students will be able to apply the operational, economically relevant measures set in a company.

Lecture, practical exercises, presentations

Final exam: Multiple choice

Students apply the skills they have acquired to carry out a project in a coordinated and structured manner. In doing so, they independently define specific sub-goals in the project. A well-founded theoretical approach is thus combined with practical application. It is possible to work on an industrial R&D project or on current problems within the framework of R&D activities at the UAS.

• After completion of the course, the students are able to plan and design a task from the selected subject area or interdisciplinary as a project.

• After completing the course, students will be able to create a software design based on this task and carry out the implementation.

• Upon completion of the course, students will be able to test and evaluate the implemented project in a sound manner.

Group work, practical project implementation accompanied with exercises and coaching.

Final exam: Practical project in small groups.

The course provides a introduction to Green IT and Sustainability in the context of responsible digital innovation and transformation. It emphasizes systems thinking and sustainability-oriented design as approaches for understanding and addressing sustainability challenges in an increasingly digital world.

Students explore the role of digital technologies in sustainability and critically analyze their environmental, and economic impacts. Through a systems thinking perspective, they examine how digital products can contribute to sustainability goals and support sustainable development.

The course further explores how digital products can be evaluated from a sustainability perspective and how sustainability principles can be applied throughout the design of digital solutions. Particular attention is given to the opportunities and challenges of digital innovation and the role of technology in creating sustainable value for individuals, organizations, and society.

The aim of the course is for students to acquire the competencies required to understand, critically reflect on, and apply the principles of Green IT and sustainability in the context of digital innovation and the design of digital solutions.

• After completing the course, students will be able to understand and explain the basic principles of Green IT and sustainability.

• After completing the course, students will be able to explain the role of digital technologies in sustainability and critically discuss their environmental, and economic impacts.

• After completing the course, students will be able to evaluate the contribution of digital products to sustainability goals.

• After completing the course, students will be able to apply sustainability principles throughout the design of digital solutions in the context of Green IT.

Lecture, distance learning support and presentations

Final exam: Presentations

Many modern systems are distributed systems: IoT (Internet of Things) such as Smart Environments (e.g. Smart Home, Smart Building, Smart City, ...) and Industry 4.0 (e.g. Digital Twin); VANETs (Vehicular Ad-Hoc Networks) and SmartCars; Critical Infrastructures and SCADA (Supervisory Control and Data Acquisition) Systems; GNS (Global Sensor Networks). In this basic course, the concepts and paradigms of such systems are developed. A practical implementation project serves to consolidate what has been learned.

• Fundamentals and properties of distributed systems, middleware
• Communication (RPC, RMI, Message Passing)
• Operating System Support and Code Migration
• Binding, Naming and Discovery
• Clocks and Agreement
• Dependability: Replication and Fault Tolerance
• Performance and Scalability
• Web Presentation Tier
• Web Services and XML
• Message-oriented middleware and JMS
• Enterprise Java

• After completing the course, students will be able to explain and evaluate selected concepts, methods, paradigms and problems of distributed systems and relate them to the limits of possible solutions.

• After completing the course, students will be able to describe communication, organization and binding in a distributed system and critically compare individual methods such as RMI and messaging.

• After completing the course, students will be able to explain areas of application, methods, limits and selected protocols of replication and fault tolerance.

• After completing the course, students will be able to explain scalability and its limits and compare the areas of application.

• After completing the course, students will be able to formulate problems and concepts of web and web service connection.

Lecture, distance learning support and seminar presentations.

Final exam: Presentations

• Independent work on a relevant subject based on the technical topics of the elective modules at a scientific level under the guidance of a supervisor.
• Elaboration of the bachelor thesis

• Upon completion of the course, students will be able to identify a relevant problem and analyze it in a scientifically sound manner.

• After completion of the course, students will be able to correctly apply scientific methods linked to specialized knowledge.

• After completion of the course, students are able to comprehensively elaborate a topic and to write it as a Bachelor Thesis.

Carrying out a practical work and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis at regular intervals and put it up for discussion.

Final exam: Approval of the bachelor thesis

• Presentation and discussion of the final thesis
• Professional discussion

• After passing the bachelor's examination, graduates are able to present and defend their scientific work concisely.

• After passing the bachelor's examination, graduates are able to lead a professional scientific discussion.

• After passing the bachelor's examination, graduates are able to recognize interrelationships of subject areas and to present their own conclusions.

Independent preparation for the bachelor's examination

Final exam: Bachelor exam

The students carry out a relevant practical work in a company in the field of computer science and/or communication systems. The concrete procedure for carrying out the internship is agreed upon with the respective company in which the internship is carried out. The technical orientation of the work must be related to the contents of the study program.

• After completion of the course, students will be able to explain the structures, working methods and procedures in a relevant company.

• After completion of the course, students will be able to use methods of logging and documentation in practice.

• After completion of the course, students will be able to analyze and solve practical problems.

Project work with a constructive permanent performance control and documentation

Final exam: Internship Report

Possible topics for the in-depth seminar:

• Implementation of a Deep Learning Algorithm
• Software design using design patterns
• Optimization of the energy consumption of embedded systems
• Programming of a robot (NAO)
• Simulation of attack scenarios and development of defense strategies

An extension of the topics is possible by the respective guest lecturers.

• Upon completion of the course, students will be able to identify and analyze a global issue relevant to their individual career path.

• Upon completion of the course, students will be able to investigate and work on a specific task from the selected topic.

Group work, practical implementation with the support of lecturers.

Final exam: Individual work

Software quality management is concerned with planning, controlling and checking the quality of software products and development processes. It includes management tasks to define the quality policy, quality objectives and responsibility for quality, as well as measures to fulfill specified quality requirements for software products and processes. Sensible process management consists of ensuring that a process effectively achieves the desired goal (effectiveness) and that the necessary activities require the minimum amount of effort (efficiency).

The course covers the following content in particular:

- Basic concepts of "quality", "quality assurance" and "quality management".

- Quality planning

- Quality requirements (non-functional requirements)

- Quality control and quality inspection

- Measures of product-oriented quality management

- Measures of process-oriented quality management

- Relationship between defect costs (consequential defect costs and defect rectification costs) and the opposing defect prevention costs (inspection costs and costs of preventive measures)

- Basics of process management

- Introduction to IT service management

- IT frameworks (ITIL, COBIT, MOF, MSF)

- IT norms and standards

- Implementation of best practices

- Case study

• After completing the course, students will be able to understand procedures and standards as the basis of quality management but also to evaluate the respective influence of the quality culture in companies.

• After completing the course, students will be able to assess the opportunities and challenges for software quality in connection with IoT.

• After completing this course, students will be able to assess the necessity of quality control throughout the development process and integrated into the software development process as well as project and risk management and apply it accordingly.

• After completing the course, students will be able to name the processes according to ITIL and their contribution to task accomplishment.

• After completing the course, students will be able to describe the advantages of applying ITIL "Best Practice" and the interaction of the individual processes (process objectives, key practices, KPIs, roles and tasks).

• After completing the course, students will be able to design "best practice" recommendations for their own IT organization.

Lecture with case studies, elaboration in the context of distance learning, discussion in the plenum

Final exam: Group work

The course is intended to cover fundamental legal issues in the areas of IT/IP law, with a focus on copyright law, data protection law and e-commerce law. After successfully completing the course, students should be able to recognize and classify common legal issues.

The course includes the following content in particular:

• Data protection and the main contents of the EU General Data Protection Regulation
• Trademark and domain law
• Basic legal issues of contract law on the Internet
• Consumer protection in distance selling
• Duty to provide information
• Basics of copyright law
• Cross-border issues in business transactions on the Internet
• Provider liability
• Cybersecurity and cybercrime

• After completing the course, students will be able to solve legal questions of general contract law.

• After completing the course, students will be able to apply important national and European legislation.

• After completing the course, students will be able to recognize special data protection problems.

• After completing the course, students will be able to explain the legal principles of electronic legal transactions.

Lecture with discussion

Independent preparation for the next teaching unit

Final exam