Software Design & Cloud Computing (FT)

Introduction to fundamental data structures and algorithms: formal characteristics of algorithms, identification of efficiency, linear lists, queues, stacks, sort algorithms, search algorithms, hashes, trees, graphs.

This course gives students an understanding of the specific problems of computational mathematics. Basic numerical mathematical methods to solve problems such as interpolation, approximation and systems of linear equations (including error handling and efficiency) form the fundamental skills for the design and analysis of numerical algorithms.

Organization theory, outline of structural and procedural organization, strategic business management, corporate planning, management styles, human resource management.

Discussion of relevant technical topics; improvement of reading and listening comprehension by working with authentic material; emphasis on increasing students' vocabulary. Critical discussion of current developments in the fields IT, IT Security, Software Development and New Media.

The course covers the fundamental, essential tasks of Linux Systems- and Network Administration.

This course serves as a consolidation of students' knowledge of local networks. Main areas of interest are Switching and Routing in LAN, virtual LANs as well as a detailed introduction to technologies such as MPLS and IPv6. - Wireless LAN - Switching in LAN - Routing in LAN - virtual LANs - MPLS - consolidation of IPv6

At the bootcamp, students work in teams to find concrete solutions to digital problems. This challenge-based approach to teaching and learning encourages students to use the technologies used in their studies to solve real-world problems. The bootcamp is collaborative and hands-on, challenging students to work with peers, teachers and experts to ask good questions, develop deeper expertise, take action and solve challenges in order to finally share their experiences.

This course focuses on relational theory as well as relational operations and their applications in the form of SQL-queries. Based on the data and data structures worked on during the previous semesters, students learn and practise queries in all forms and complexity. Further topics are multi-user synchronization, procedural extension of SQL as well as object-relational concepts.

The following topics will be covered: object-oriented programming including exception handling, scope, data structures (lists and maps), interfaces, inheritance, structuring of modules and tools relevant for deployment.

Students acquire methods and tools for conceptualizing and designing (graphical) user interfaces. They have the theoretical foundations of usability engineering and learn how to practically apply this knowledge by working on a concrete project of their own.

The knowledge is enlarged upon the first Semester's course "Web Technologies". In the following, these topics are covered: XML, DTD,XSD, XSL(T) and XPath Structured documents, basic concepts of markup languages on the example of XML, Document Type Definitions (DTD), XML Schema Definitions (XSD),Difference "well-formed" / "valid", Processing XML-documents with XSL: Transformation with XSLT, Overview on Standard-APIs for rendering XML/XSL, XML as a base for data exchange and storage, XML applications in various areas (e.g. multimedia, (mobile) communication Client-side Scripting (e.g. Javascript) Basics, Events and controlling of web content, DOM manipulation, asysnchronous data exchange for interactive web applications and basic knowledge for Rich Internet Applications (RIA) with AJAX, combination with XML Server-side Scripting (e.g. PHP) Overview on server-side Scripting (application, differences between server-side and client-side scripting …

In this course, students learn the definition and the characteristics of Cloud Computing, service and provisioning models. Students get insight in technologies, which are necessary to create, provide and maintain virtual machines and software in the cloud. Students use cloud based infrastructures for existing and new services. Therefore "public cloud services" and aequivalents are used. Additionaly, students examine APIs (application programming interfaces) which are provided by the most important cloud vendors. RESTful Webservices will be developed as well, using highly available cloud infrastructures. In this matter, the change from tradtional to cloud-based IT infrastructure is highlighted. (i.e. VPN Cloud-System, Directory-Info adjustment). On premise solutions are outsourced as "Software as a Service" (Saas) ("Off Premise")

During this course, the student will be confronted with important server technologies, theoretically as well as practically. Goal of the subject is to familiarize the student with servers she is using day by day. • Domain Name System (DNS) • Dynamic Host Configuration Protocol (DHCP) • Hyper Text Transfer Protocol (HTTP), Apache Webserver Common Gateway Interface (CGI), Secure Socket Layer (SSL), Certificates, Additional modules and configurations • Simple Mail Transfer Protocol (SMTP) & Security (TLS) • Post Office Protocol (POP), Internet Message Access Protocol (IMAP) • File Systems & Services in the Internet.

Introduction to the topic of business processes; development of organization theory in the 20th century, definition of business processes; process analysis, inventory-and as-is-analysis; organization of labor - Taylor's structure of labor; optimization of business processes, Business Process Reengineering; modelling, controlling and benchmarking of business processes.

The course provides an application-oriented introduction to Big Data data models and architectures. Storage and database systems in the Big Data environment are then tested and studied using practice-oriented training scenarios. Particular emphasis is placed on the development of interfaces and connectivity options for current software technologies. Further topics, which are finally developed by means of practical exercises, include Big Data Views and Queues, Performance and Tuning. Special care is taken to provide enough room for discussion of current technological developments in the area of ??Big Data.

Introduction to the most important statistical methods. Basics of data mining (including clustering, classification, regression). In the area of visualization, handling and plotting of data as well as static and interactive visualizations are covered. In the exercise, these topics are treated in an application-oriented manner using current software packages.

Introduction in object-oriented software design: (i) Modeling of software systems using UML; (ii) Introduction to design patterns; (iii) Refactoring using design Patterns.

Practical approaches to improve the quality of software: debugging, software inspection, software testing (unit-, integration-, system- and performance tests), test case design, verification and validation in the software development process.

In this seminar, students work on a selected digital problem. The participating teams work within a limited time span to develop or design a proof-of-concept for a solution to a specific problem or challenge. The phases of the collaboration are defined as follows Engage - Investigate - Act.

During this course, the student will be confronted with important server technologies, theoretically as well as practically. Goal of the subject is to familiarize the student with servers she is using day by day. • Domain Name System (DNS) • Dynamic Host Configuration Protocol (DHCP) • Hyper Text Transfer Protocol (HTTP), Apache Webserver Common Gateway Interface (CGI), Secure Socket Layer (SSL), Certificates, Additional modules and configurations • Simple Mail Transfer Protocol (SMTP) & Security (TLS) • Post Office Protocol (POP), Internet Message Access Protocol (IMAP) • File Systems & Services in the Internet.

Design and implementation of rich internet applications with main focus on mobile devices: support for offline functionality and different screen sizes as well as semantic HTML Tags and canvas/SVG animation, various JavaScript APIs to support location based services and real time communication with web sockets. Furthermore, analysis and optimisation of performance as well as automated testing are of relevance.

This course teaches technical principles of private cloud solutions. Students learn the basic concepts that are the fundamentals for different cloud service modells: IT infrastructure virtualization, object storage implementations, application container runtime environments and application container cluster, serverless computing and basic methods for the lifecycle management of cloud applications

This course teaches techniques relevant for designing systems with a reasonable amount of availability. Students learn about the methods necessary to minimize the impacts of problems like hardware and software failures, natural disasters or the corruption of critical data by using the following techniques: - Backup and restore strategies - Network redundancy - RAID - Storage Area Networks (SANs) and Network Attached Storage (NAS) - Virtualization - Load balancing - High availability clustering

Introduction to the legal foundations of e-business. The course gives an overview of certain legal questions relevant in e-business projects (domain names, e-commerce law, intellectual property law, legal signature etc). A special focus is placed on the subject of copyright in e-Business (protection of software, websites, databases etc.)

Development of the technical language required for negotiations and business meetings; Planning, setting up and conducting meetings using simulations. Application training, interviews and assessment centers.

Students will be taught the basics of marketing and PR and will further consolidate their knowledge. They know the various functions of marketing and are able to make cross-references and use the material taught throughout the course in practical examples.

The following topics are covered in this course: - definition of projects - types of projects and their categorization - project management - life cycle of projects - management of projects

The basics of data retrieval and preparation, especially data cleansing methods, are presented at the beginning of the course. After an overview of the Data Analytics Life Cycle, the basic data analytical methods such as clustering, association, regression, classification, time series analysis, text analysis, map reduction and statistical methods are presented. After the elaboration of data bases (distance and similarity measures, neural networks, knowledge representation, textmining, webmining), a final discussion of basic techniques of data visualization, as well as current developments and technologies is presented.

Designing software for distributed environments, managing remote objects, setting up socket connections, creating restful web services hosted on (web-)application servers with n-tier architecture. Various (design) patterns and paradigms of (quasi-)parallel and distributed computing are discussed: serialisation, multi-threading with synchronisation, deadlocks, map/reduce or producer/consumer paradigm. Students design and plan the implementation of software component in distributed and heterogenous systems. That includes on the one hand web sockets for real time and on the other hand message brokers for asynchronous communication between clients and servers.

Start-up: This seminar is about making digital solutions sustainable. The students can conceptualise, design, implement, document and present a prototype in small groups based on an idea. In addition, they can critically evaluate and reflect on the collaboration, learning progress, work result and documentation.

Basics of 3D Graphics: Coordinate System, Vertices, Vectors, Matrices, Transformations, Quaternions, Graphics-Pipeline, Szenenegraph, Shader Graphics Libraries: OpenGL(Vulcan) DirectX, WebGL,etc.  as an overview 3D Engines (Middleware): Overview on actual software, Differencies/Unique properties Focus on  3D Programming in the Web New Technologies: AR, VR

This course focuses on the server side technologies of dynamic webpages and on the communication duties between web client and web server: HTTP Request/Response, Sessions, Cookies, Mimetypes, User Input, Up- and Download, Mail, Database connection, AJAX.

Students work independently on predefined topics (sometimes in cooperation with partner companies) that are based on any of the fields taught in the bachelor programme. They develop and describe solutions to given problems by applying scientific approaches.

This course is designed to guide students through the process of writing their bachelor thesis. This includes techniques for structuring and designing scientific papers. Students are meant to apply in their bachelor thesis the skills they have acquired throughout their studies.

Students learn about the difference between old and new economy (with regard to new technologies) on the macro- and micro-economic level as well as on the business administration level; traditional, digital and hybrid business models will be analyzed with respect to client focus and quality awareness. Online Marketing emphasizes the diversity of this current business philosophy and links the various existing marketing tools with each other by assessing them from different viewpoints. The course aims to give students a general understanding of the behaviour of buyers and sellers and to teach them how to best use online marketing.

The students deal with IT trends, i.e. with current developments that rise quickly and are used by companies and private individuals, such as trends in the software area, current hardware developments, new combinations of these and trends in in-house and outsourced IT services for Establishments. For the years 2022-2025, the following trends will be dealt with from a technological, economic and socio-political point of view: Unlimited interactions, networked intelligence, self-learning data systems, unlimited modularity, self-optimizing DevOps and zero trust architecture.

Students learn about methods for the practical implementation of security solutions on different levels of IT-systems, based on scientific-technical foundations such as kryptography or basic IT-technologies (network- and server technologies, programming)

In the course ESP students improve their academic writing skills. The following topics will be dealt with in detail: - writing different types of texts (special focus will be laid on writing abstracts and summaries) - acquiring strategies that help students comprehend and independently write complex, scientific texts - extending their academic vocabulary - introduction to presentation skills: summarizing and presenting scientific papers (such as project work or bachelor theses)

At the beginning, architecture and principles of neural networks and principles of machine learning (e.g. gradient descent, data splitting, fitting, regularization ...) are reviewed. Subsequently, different types of artificial neural networks for Deep Learning as well as Deep Learning scenarios are presented (e.g. Convolutional Neural Networks in image recognition). The exercise part lets the students experience these scenarios.

Several generic solution concepts applicable to a variety of different optimization problems are presented. These include construction and improvement heuristics, metaheuristics, branch and bound, and integer linear programming.

Introduction to several programming concepts, especially compiler and linker compared to interpreters, dynamic vs. static programming languages, memory management including pointer arithmetics, automation with scripts (including pattern matching and regular expressions); several aspects of functional and parallel computing (multithreading topics).

Lecture topics are methods to gather and analyse web data. The seminar is divided in three major parts: 1) Statistical analysis of data from available data sources like server logs or user tracking records 2) Analysis and Reporting on dynamic Online data sources 3) Usage of integlligent algorithms for data mining and gathering like Recommender systems

Basic features of individual employment law and collective employment law (employment, service notes, employers, employees, type of employment, termination of employment, collective sources of law, workplace representation) and questions that arise in the context of staff recruitment and development.

Necessity of innovation and trends, definition of innovation management, phases of innovation management, methods of innovation management, development of innovation teams, influence factors for innovation management, innovation audit, implementation of innovation projects

This course aims to develop the skills needed in order to be able to successfully deliver a presentation in English. It systematically takes students through the key stages of presentations, from planning and introducing to concluding and handling questions. Students also learn how to design effective slides for their presentations. By the end of this term students should have improved their presentation skills (including their body language, rhetorics and communication strategies) in order to be able to give a clear, well-organized presentation in English.

When working in companies on real life projects, students gain practical knowledge in the respective professional fields and can practically apply the theoretical knowledge acquired throughout their studies.

This course is designed to guide students through the process of solving tasks when working in companies.

Introduction to the fundamental ideas of computer science, data versus information, coding (ASCII-code, Unicode), number systems (decimal, binary, hexadecimal, octal), hardware (Neumann architecture), basic concepts of software, operating systems and programming languages, further selected topics

Mathematical Basics: numbers and number systems, mathematical logics, sets, proof techniques, divisibility and primes, special topics of modern applied mathematics, matrices.

Basic economic aspects; economic relations and connections; practical illustration of accounting and costing; fundamentals of the theory of taxation

Since a variety of contracts include parts written by non-laywers, students are introduced to the basics of contract law. The course focuses on the following topics: - general principles of contract law - verbal agreements - silence in legal relations - offer/acceptance - warranty/guarantee - property - liability avoidance

The following topics are covered: - phases of team development - success factors for effective teams - processes of team building - interaction of team members and their different roles within the team - methods of conflict management - role plays

The course serves as an introduction to the purpose and functionalities of operating systems in general and the teaches the basic usage of a command line shell of the "Linux" operating system

The course serves as an introduction to TCP/IP-based networks. Strong emphasis on the interaction of the protocols/-layers with each other and the application- and operating systems levels.

The course gives a systematic approach to relational database design in theory and practice (design tools and DDL). The emphasis lies on the conceptual and logical design, including the definition of semantic conditions towards the resulting data structures. Overview of requirements engineering and physical design. In addition, systematic introduction to function and operation of database management systems (including transaction) as well as related operations (DDL + CRUD commands etc.) All topics will be applied in practice in the accompanying tutorial.

Introduction to procedural and object-oriented programming languages including data types, variables and constants, loops, functions and methods, objects and classes and basic data structures. Usage of libraries for I/O as well as the use of tools to compile source code.

Overview of software engineering principles: (i) Challenges of software development; (ii) Activities in software development: requirements engineering, design, implementation, verification and validation, software evolution; (iii) Software Process Models: waterfall model, spiral model, V-model, component-based development, agile software development.

Consolidation and extension of vocabulary, improvement of idiomatic language and grammar skills by working on general and specific/technical topics which are selected according to the students' previous knowledge.Introduction to content specific language, i.e. ICT, Computing and Engineering; Improvement of communication strategies and idiomatic expression. Integration of various Web 2.0 technologies (eLearning), critical evaluation of current developments of the WWW and the internet.

The lecture serves as an introduction to web technologies with the following key topics: • Hypertext, Hypermedia, Information Systems, WWW, Social Web, Semantic Web, Search Engines • Web Design, Web Usability and Accessibility • Hypertext Markup Language - HTML5 • Color models and image formats appropriate for the web • Cascading StyleSheets and an introduction to Javascript • CSS based responsive Web-Layouts The tutorial deals with the programming of standardized web pages with HTML5, CSS and Javascript and the basics of image editing for the web.

Introduction to fundamental data structures and algorithms: formal characteristics of algorithms, identification of efficiency, linear lists, queues, stacks, sort algorithms, search algorithms, hashes, trees, graphs.

This course gives students an understanding of the specific problems of computational mathematics. Basic numerical mathematical methods to solve problems such as interpolation, approximation and systems of linear equations (including error handling and efficiency) form the fundamental skills for the design and analysis of numerical algorithms.

Organization theory, outline of structural and procedural organization, strategic business management, corporate planning, management styles, human resource management.

Students learn about the legal fundamentals and effects of economic law. By looking at current examples, students learn how legal conditions may quicken, slacken or even hamper economic processes. The focus lies on private economic law combined with aspects of administrative law concerning trade and industry.

The course covers the fundamental, essential tasks of Linux Systems- and Network Administration.

This course serves as a consolidation of students' knowledge of local networks. Main areas of interest are Switching and Routing in LAN, virtual LANs as well as a detailed introduction to technologies such as MPLS and IPv6. - Wireless LAN - Switching in LAN - Routing in LAN - virtual LANs - MPLS - consolidation of IPv6

Introduction to the technical environment of software projects and effective team work: software project structure, source code versioning, automatic build, automatic tests, and technical documentation.

This course focuses on relational theory as well as relational operations and their applications in the form of SQL-queries. Based on the data and data structures worked on during the previous semesters, students learn and practise queries in all forms and complexity. Further topics are multi-user synchronization, procedural extension of SQL as well as object-relational concepts.

The following topics will be covered: object-oriented programming including exception handling, scope, data structures (lists and maps), interfaces, inheritance, structuring of modules and tools relevant for deployment.

Discussion of relevant technical topics; improvement of reading and listening comprehension by working with authentic material; emphasis on increasing students' vocabulary. Critical discussion of current developments in the fields IT, IT Security, Software Development and New Media.

The knowledge is enlarged upon the first Semester's course "Web Technologies". In the following, these topics are covered: XML, DTD,XSD, XSL(T) and XPath Structured documents, basic concepts of markup languages on the example of XML, Document Type Definitions (DTD), XML Schema Definitions (XSD),Difference "well-formed" / "valid", Processing XML-documents with XSL: Transformation with XSLT, Overview on Standard-APIs for rendering XML/XSL, XML as a base for data exchange and storage, XML applications in various areas (e.g. multimedia, (mobile) communication Client-side Scripting (e.g. Javascript) Basics, Events and controlling of web content, DOM manipulation, asysnchronous data exchange for interactive web applications and basic knowledge for Rich Internet Applications (RIA) with AJAX, combination with XML Server-side Scripting (e.g. PHP) Overview on server-side Scripting (application, differences between server-side and client-side scripting …

The course provides an application-oriented introduction to Big Data data models and architectures. Storage and database systems in the Big Data environment are then tested and studied using practice-oriented training scenarios. Particular emphasis is placed on the development of interfaces and connectivity options for current software technologies. Further topics, which are finally developed by means of practical exercises, include Big Data Views and Queues, Performance and Tuning. Special care is taken to provide enough room for discussion of current technological developments in the area of ??Big Data.

Introduction to the main statistical procedures. In the exercise, the statistics environment R is used.

Perfection of communication strategies needed for a professional conduct in the business world; cultural differences in business; main topics of interest: job satisfaction, management styles, business ethics as well as relevant aspects of e-business; strong emphasis is put on leadership and management

Introduction to the topic of business processes; development of organization theory in the 20th century, definition of business processes; process analysis, inventory-and as-is-analysis; organization of labor - Taylor's structure of labor; optimization of business processes, Business Process Reengineering; modelling, controlling and benchmarking of business processes.

Students acquire methods and tools for conceptualizing and

Development of software applications running on mobile devices with limited ressources:

The course provides an overview of IoT-specific communication protocols and their practical implementation. Protocols such as e.g. CoAP, XMPP, MQTT, wireless communication standards, integration into IoT infrastructures, combining with existing network topoliges and the practical implementation in the laboratory for analysis and troubleshooting.

The focus of the lecture is the development of IoT applications on different software and hardware platforms. Special emphasis is placed on the following topics: • Low level development principles for resource-constrained devices. • Prototyping of new IoT devices. • Communication between IoT devices and backend systems. • Basic security measures for IoT devices.

Introduction in object-oriented software design: (i) Modeling of software systems using UML; (ii) Introduction to design patterns; (iii) Refactoring using design Patterns.

Practical approaches to improve the quality of software: debugging, software inspection, software testing (unit-, integration-, system- and performance tests), test case design, verification and validation in the software development process.

Design and implementation of rich internet applications with main focus on mobile devices: support for offline functionality and different screen sizes as well as semantic HTML Tags and canvas/SVG animation, various JavaScript APIs to support location based services and real time communication with web sockets. Furthermore, analysis and optimisation of performance as well as automated testing are of relevance.

During this course, the student will be confronted with important server technologies, theoretically as well as practically. Goal of the subject is to familiarize the student with servers she is using day by day. • Domain Name System (DNS) • Dynamic Host Configuration Protocol (DHCP) • Hyper Text Transfer Protocol (HTTP), Apache Webserver Common Gateway Interface (CGI), Secure Socket Layer (SSL), Certificates, Additional modules and configurations • Simple Mail Transfer Protocol (SMTP) & Security (TLS) • Post Office Protocol (POP), Internet Message Access Protocol (IMAP) • File Systems & Services in the Internet.

The basics of data retrieval and preparation, especially data cleansing methods, are presented at the beginning of the course. After an overview of the Data Analytics Life Cycle, the basic data analytical methods such as clustering, association, regression, classification, time series analysis, text analysis, map reduction and statistical methods are presented. After the elaboration of data bases (distance and similarity measures, neural networks, knowledge representation, textmining, webmining), a final discussion of basic techniques of data visualization, as well as current developments and technologies is presented.

Focus is put on key competences for future IT professionals. Consolidation of relevant skills for the students' later professional careers: Improvement of negotiation and meeting skills, critical reflection of relevant topics from the fields of business, law and engineering; English for specific purposes: specific language used in meetings and negotiations; simulated meetings in class. Further emphasis is put on application, interviews and training for assessment centres.

Introduction to the legal foundations of e-business. The course gives an overview of certain legal questions relevant in e-business projects (domain names, e-commerce law, intellectual property law, legal signature etc). A special focus is placed on the subject of copyright in e-Business (protection of software, websites, databases etc.)

The following topics are covered in this course: - definition of projects - types of projects and their categorization - project management - life cycle of projects - management of projects

This course teaches techniques relevant for designing systems with a reasonable amount of availability. Students learn about the methods necessary to minimize the impacts of problems like hardware failures, viruses, natural disasters or the corruption of critical data by using the following techniques: - Backup and restore strategies - Network redundancy - RAID - Storage Area Networks (SANs) and Network Attached Storage (NAS) - Virtualization - Load balancing - High availability clustering

The students will get in touch with all Windows related topics such as Windows Server, Windows Client, Batch and Powershell commands, automated teak scheduling, server- and domain-administration, advanced windows client administration as well as network- and active-directory sturctures and ressource-administration.

By working independently on projects of average difficulty students learn to apply project management skills.

Designing software for distributed environments, managing remote objects, setting up socket connections, creating restful web services hosted on (web-)application servers with n-tier architecture. Various (design) patterns and paradigms of (quasi-)parallel and distributed computing are discussed: serialisation, multi-threading with synchronisation, deadlocks, map/reduce or producer/consumer paradigm. Students design and plan the implementation of software component in distributed and heterogenous systems. That includes on the one hand web sockets for real time and on the other hand message brokers for asynchronous communication between clients and servers.

Analysis and modelling of functional and non-functional requirements of software systems: (i) UML modelling (User Case-, Activity-, State-, Class-Diagram); (ii) Object-oriented analysis; (iii) Requirements engineering process; (iv) Requirements management; (v) Prototyping.

Basics of 3D Graphics: Coordinate System, Vertices, Vectors, Matrices, Transformations, Quaternions, Graphics-Pipeline, Szenenegraph, Shader Graphics Libraries: OpenGL(Vulcan) DirectX, WebGL,etc.  as an overview 3D Engines (Middleware): Overview on actual software, Differencies/Unique properties Focus on  3D Programming in the Web New Technologies: AR, VR Final Project

This course focuses on the server side technologies of dynamic webpages and on the communication duties between web client and web server: HTTP Request/Response, Sessions, Cookies, Mimetypes, User Input, Up- and Download, Mail, Database connection, AJAX.

Students work independently on predefined topics (sometimes in cooperation with partner companies) that are based on any of the fields taught in the bachelor programme. They develop and describe solutions to given problems by applying scientific approaches.

This course is designed to guide students through the process of writing their bachelor thesis. This includes techniques for structuring and designing scientific papers. Students are meant to apply in their bachelor thesis the skills they have acquired throughout their studies.

Students learn about the difference between old and new economy (with regard to new technologies) on the macro- and micro-economic level as well as on the business administration level; traditional, digital and hybrid business models will be analyzed with respect to client focus and quality awareness. Online Marketing emphasizes the diversity of this current business philosophy and links the various existing marketing tools with each other by assessing them from different viewpoints. The course aims to give students a general understanding of the behaviour of buyers and sellers and to teach them how to best use online marketing.

Students learn about the difference between old and new economy (with regard to new technologies) on the macro- and micro-economic level as well as on the business administration level; traditional, digital and hybrid business models will be analyzed with respect to client focus and quality awareness. Online Marketing emphasizes the diversity of this current business philosophy and links the various existing marketing tools with each other by assessing them from different viewpoints. The course aims to give students a general understanding of the behaviour of buyers and sellers and to teach them how to best use online marketing.

Development of an Open Source IoT solution under real world conditions: - agile development methods (XP, Scrum) - distributed developer teams - Continuous integration: source code repository, automatic build, automatic tests, automatic source code analysis, automatic documentation - Application Monitoring

The course combines knowledge gained in the course IoT Communication with the elctronic basics they are based on. Networks, filters, analogue and digital signals, multiplex methods, AD implementation, bandwidth, interferences during signal transmission, transmission media, radiocommunication systems (Bluetooth, WLAN, ZigBee) and infrastructure for mobile data services are covered during the lectures and the lab sessions.

Students learn about methods for the practical implementation of security solutions on different levels of IT-systems, based on scientific-technical foundations such as kryptography or basic IT-technologies (network- and server technologies, programming)

In the course ESP students improve their academic writing skills. The following topics will be dealt with in detail: - writing different types of texts (special focus will be laid on writing abstracts and summaries) - acquiring strategies that help students comprehend and independently write complex, scientific texts - extending their academic vocabulary - introduction to presentation skills: summarizing and presenting scientific papers (such as project work or bachelor theses)

Introduction to several programming concepts, especially compiler and linker compared to interpreters, dynamic vs. static programming languages, memory management including pointer arithmetics, automation with scripts (including pattern matching and regular expressions); several aspects of functional and parallel computing (multithreading topics).

Lecture topics are methods to gather and analyse web data. The seminar is divided in three major parts: 1) Statistical analysis of data from available data sources like server logs or user tracking records 2) Analysis and Reporting on dynamic Online data sources 3) Usage of integlligent algorithms for data mining and gathering like Recommender systems

Basic features of individual employment law and collective employment law (employment, service notes, employers, employees, type of employment, termination of employment, collective sources of law, workplace representation) and questions that arise in the context of staff recruitment and development.

Necessity of innovation and trends, definition of innovation management, phases of innovation management, methods of innovation management, development of innovation teams, influence factors for innovation management, innovation audit, implementation of innovation projects

This course aims to develop the skills needed in order to be able to successfully deliver a presentation in English. It systematically takes students through the key stages of presentations, from planning and introducing to concluding and handling questions. Students also learn how to design effective slides for their presentations. By the end of this term students should have improved their presentation skills (including their body language, rhetorics and communication strategies) in order to be able to give a clear, well-organized presentation in English.

When working in companies on real life projects, students gain practical knowledge in the respective professional fields and can practically apply the theoretical knowledge acquired throughout their studies.

This course is designed to guide students through the process of solving tasks when working in companies.