Technical and methodological competence:

After completing the course, students will be able to

• Classify the concept of the Internet of Things (IoT) and differentiate it from Machine 2 Machine Communication (m2m) and Industry 4.0

• Know the fields of application of IoT and specify their requirements for technology and architecture

• Understand IoT technologies, architectures and protocols and analyze existing IoT systems

• Classify wireless radio technologies such as UWB, LoRaWAN, Z-Wave, ZigBee, Bluetooth Smart in terms of range, data rate, interoperability and power consumption

• Understand routing protocols for ad hoc networking such as OLSR, AODV, DSR and implement them in your own systems

• Select architectures, technologies and protocols for given IoT applications and implement them in your own systems

• Design and implement new architectures and routing protocols for specific IoT applications

• Introduction

  • Motivation, definition, differentiation from m2m, Industry 4.0

  • Application areas and their requirements

  • Overview of layer models: ISO/OSI, TCP/IP, IPv6 and 6LoWPAN, Bluetooth Smart

  • Overview of radio transmission: ISM bands, licensed bands, UWB

  • Classification of technologies: IEEE 802.15.4, Bluetooth Smart, RFID, LoRaWAN

• Architectures and protocols of the IoT

  • Application layer protocols: CoAP, MQTT, GATT

  • Application layer protocol gateways: REST-HTTP/CoAP, REST-HTTP/GATT

  • Topologies: Star and tree topologies with central gateway, mesh networking, multi-gateway

  • Routing protocols: OLSR, AODV, DSR

  • IPv6, 6LoWPAN

• Basics of digital communication

  • Sampling of signals, Nyquist sampling theorem

  • Coding, modulation, Shannon Fano channel capacity

  • Multiple access methods: ALOHA, CSMA/CA, FDMA, TDMA, CDMA, OFDM

  • Radio transmission basics: Antennas, free space attenuation, Fresnel zone,

• Exemplary areas of application

  • Smart Home

    • Scenarios and their requirements

    • Technologies: Z-Wave, ZigBee, EnOcean

    • Exemplary implementation based on a current AAL research project

  • Logistics

    • Scenario Tracking & Tracing

    • Technologies: RFID, LoRaWAN, UWB

    • Exemplary implementation based on a current research project

Jan Höller: From machine-to-machine to the internet of things - introduction to a new age of intelligence, Elsevier, 2014

• Peter Waher: Learning Internet of Things - explore and learn about Internet of Things with the help of engaging and enlightening tutorials designed for Raspberry Pi, Packt Publishing, Birmingham, 2015

• Ralf Gessler, Thomas Krause: Wireless-Netzwerke für den Nahbereich, Eingebettete Funksysteme, ­ Vergleich von standardisierten und proprietären Verfahren, Vieweg+Teubner, 2009

• Martin Meyer: Kommunikationstechnik, Konzepte der modernen Nachrichtenübertragung, Vieweg+Teubner, 4. Auflage, 2011.

• Andrew S. Tanenbaum, David J. Wetherall: Computernetzwerke, 5. Auflage, Pearson Studium, 2012

Input and output modalities geared towards computer systems (screen, keyboard, mouse, but also microphones, loudspeakers, etc.) form the starting point for talking about interaction with computer systems. However, this module deals with a paradigm shift in which the focus is not on operating a computer system (or application), but on enabling the computer system to register and interpret human actions and to take over assistance functions. The computer system itself remains invisible and is integrated into the environment without becoming visible as a technical system. Such systems are becoming increasingly important, particularly due to developments in the Internet of Things, cyber-physical systems and increasing networking.
This module systematically analyzes how direct interaction (e.g. command input) and indirect interactions (e.g. use of context information) differ and how they can be used together to come closer to the vision of an intelligent environment. In addition to the theoretical background, selected aspects from the following areas are also addressed:
Sensor-based interaction technologies
Speech recognition and control
Interactive environments and surfaces
Ambient environments
Physiological sensors for interaction (affective computing)
Tangible interaction (tangible interaction, physical computing)
Goal-based interaction

In the application field of Ambient Assisted Living, concepts, methods and technologies are motivated and students are enabled to design and implement such systems themselves.

Technical and methodological competence:
Understand and classify current research work in the field of ambient intelligence.
Understand and analyze new (sensor-based, tangible, voice-based) forms of interaction and transfer them to their own use cases. To this end, students are familiar with typical areas of application and are able to classify technologies and infrastructures.
apply concepts, methods and models for the development of ambient assistance systems.
recognize requirements (especially for the MMI) of modern AAL systems and assemble solutions/products in their context as building blocks of a problem solution.
Understand infrastructures for new forms of interaction and be able to integrate them into their own solutions in a problem-oriented manner.
Create context-sensitive applications by using the context life cycle (measuring, modeling, deriving, distributing).

Interdisciplinary methodological skills:
Identifying alternatives to imperative user interfaces.
Extending applications to intelligent assistance systems.
Evaluate, select and combine forms of interaction.
Deriving semantic information from sensor data.

• Ambient Intelligence (AmI)
• Explicit and implicit interactions in AmI
• New forms of interaction (multimodality, proxemic interaction, tangible computing, affective computing...)
• Context-sensitive applications (context life cycle)
• Semantic modeling of context information
• Context Reasoning (OWL)
• Interaction models for AmI
• Deepening and application in the following technical areas:
  • Sensor-based interaction technologies,
  • Voice recognition and control,
  • Tangible interaction/camera projector systems;
• Ambient environments from the field of AAL, in the task areas:
  • Security & prevention (home emergency call, lighting systems, ),
  • Health and care (vital signs monitoring, fitness trackers, ),
  • Home and care (Google Nest, robotics, service portals, ),
  • Communication and social environment (voice control, communication solutions, );
• AAL platforms and Internet of Things infrastructures as the basis for AmI.
• Approach (analysis, conception, methods, models) for the development of AmI solutions
• Problem solving using the example of a self-developed assistance function from the field of AAL (student projects);

• • Rogers, I. (2012). HCI Theory: Classical, Modern, and Contemporary - Synthesis Lectures on Human-Centered Informatics. Morgen & Claypool.
  • Journal on Multimodal User Interfaces (2016), Volume 10, Springer International Publishing 2016
  • BMBF/VDE Innovationspartnerschaft AAL (Hrsg.) 2011: Ambient Assisted Living (AAL) Komponenten, Projekte, Services Eine Bestandsaufnahme, VDE Verlag.

Technical and methodological competence:

• Processes, activities, methods, techniques, languages and tools for handling IT procurement projects
• Overview of the central procedures, legal framework and relevant tender guidelines for IT procurement projects

Interdisciplinary methodological expertise:

• Requirements management
• Project management
• Market research and analysis

Self-competence:

• Independent preparation and creation of result documents and their presentation on IT procurement-specific topics and content

Social skills:

• Project work in teams with 5-8 students

Professional field orientation:

• Practice-oriented implementation of a tendering and procurement project in cooperation with IT companies

• Project management
  • Project planning with activity node network plans and Gantt charts, cost and effort controlling
• Requirements collection and determination
  • Survey methods such as written surveys and semi-structured interviews with interview guidelines
  • Practical implementation by the project team(s) in cooperation with regional IT companies
• Requirements analysis, specification and documentation
  • Development and creation of requirements documents and functional specifications
  • Outlines and IEEE standards
• Legal framework conditions of an IT procurement project
  • Rights and obligations of the client/contractor
  • ITIL vs. IT procurement
• Structure and preparation of tender documents: forms, regulations, laws
  • EVB-IT, BVB
• Tendering law, public procurement law, tender evaluation
  • Public, restricted and direct award
  • Primary and secondary legal protection
• Conducting bidder interviews and presentations: Process and procedure

• Balzert, H. (2008): Lehrbuch der Softwaretechnik - Softwaremanagement, Heidelberg: Spektrum Akademischer Verlag.
• Balzert, H. (2009): Lehrbuch der Softwaretechnik - Basiskonzepte und Requirements Engineering, 3. Auflage, Heidelberg: Spektrum Akademischer Verlag.
• Keller-Stoltenhoff, Leitzen, Ley (2017): Handbuch für die IT-Beschaffung (Band 1 und 2), Heidelberg: Rehm-Verlag.
• Mangold, P. (2009): IT-Projektmanagement kompakt, 3. erweiterte Auflage, Heidelberg: Spektrum Akademischer Verlag.
• Spitczok, N.; Vollmer, G., Weber-Schäfer, U. (2014): Pragmatisches IT-Projektmanagement, 2. überarbeitete Auflage, Heidelberg: dpunkt-Verlag.
• Vollmer, G. (2018): Vorlesungsunterlagen zur seminaristischen Lehrveranstaltung "Organisatorische und rechtliche Aspekte der IT-Beschaffung"
• Winkelhofer, G. (2005): Management- und Projekt-Methoden, 3. vollst. überarbeitete Auflage, Berlin, Heidelberg: Springer Verlag.

Technical and methodological competence:

• Students can explain the specific tasks of managers and differentiate them from specialist tasks.
Students know selected psychological principles of leadership and selected leadership theories.Students are familiar with selected leadership methods and can apply these in case studies and role plays.Students can analyze case descriptions of typical leadership situations and develop and argue solutions based on the theory they have learned.

Interdisciplinary methodological competence:

• The knowledge of psychological principles, the ability to analyze (conflict) situations and communication skills can be used by students in any professional situation.

Social skills:

 

• Group work promotes the ability to develop solutions with other (unfamiliar) students
.
• Role-playing games strengthen skills in dealing constructively with feedback and train the ability to observe communicative (conflict) situations.

Professional field orientation:

• Through guest contributions from HR managers and managers from the field, students learn what requirements are placed on managers in professional fields of computer science.

Transfer of basic knowledge regarding the importance and tasks of IT service management in the company. Theoretical knowledge of methods and procedures for business process-oriented, user-friendly and cost-optimized monitoring and control of the quality and quantity of IT service. Understanding of the fundamentals of security management and the interlinking of security and service management requirements in a joint incident management process. Deepening and practical application of previously acquired specialist knowledge using practical examples based on known frameworks, IT reference models and standards.

Technical and methodological competence:

• Integrating IT service management into comprehensive IT management
• Classifying and comparing the various IT service processes and IT security
• Name the advantages and disadvantages of using IT service reference models, frameworks and standards
• Differentiate between the various models, frameworks (including ITIL) and standards and highlight their similarities
• Assess the current IT security in a company on the basis of basic IT protection
• Designing and implementing optimization measures for IT services processes based on case studies
• Organize a semester-accompanying project in the field of IT service management

Self-competence:

• Demonstration of goal and time management skills as well as presentation skills as part of the semester-long assignment and exercises in the course

Social skills:

• Evaluating the importance of communication, conflict and team skills in implementation and adaptation projects
• Awareness of the social issues involved in the introduction of service management processes or the implementation of an ITSM framework
• Increasing cooperation and teamwork skills as part of a semester-long project

Professional field orientation:

• Knowing the requirements of different job profiles in IT Service Management (esp. Relationship Manager, Service Level Manager, Service Owner, Service Manager, Process Owner, Process Manager)

Literatur:

• Böttcher, R.; IT-Servicemanagement mit ITIL® V3: Einführung, Zusammenfassung und Übersicht der elementaren Empfehlungen; Heise; 2. Aufl.; Hannover; 2010
• Buchsein, R., Victor, F. Günther, H., Machmeier, V.; IT-Management mit ITIL® V3: Strategien, Kennzahlen, Umsetzung; Vieweg; 2. Aufl.; Wiesbaden; 2008
• Ellis, A., Kauferstein, M.; Dienstleistungsmanagement: erfolgreicher Einsatz von prozessorientiertem Service Level Management; Springer; Berlin; 2004
• Kersten, H., Reuter, J., Schröder, K.W.; IT-Sicherheitsmanagement nach ISO 27001 und Grundschutz; Der Weg zur Zertifizierung; Vieweg; Wiesbaden; 2009
• Köhler, P.T.; ITIL. Das IT-Servicemanagement Framework; Springer; 2. Aufl.; Berlin; 2007
• Van Bon, J.; Foundations of IT Service Management basierend auf ITIL V3; Van Haren Publishing; LK Zaltbommel; 2008
• Zarnekow, R., Hochstein, A., Brenner, W.; Service-orientiertes IT-Management. ITIL-Best-Practices und Fallstudien; Springer; Berlin; 2005

Technical and methodological competence:

• The students should
• know and be able to classify quality terms
• be able to explain and justify the principles of software quality assurance
• Be able to carry out (code) inspections
• be able to analyze programs and use control-flow-oriented and data-flow-oriented test procedures
• be able to use the concepts of verification and symbolic testing and differentiate them from testing procedures
• be able to carry out integration and acceptance tests for simple scenarios
• Be able to assess and use test tools
• Be able to determine and use tools and procedures for test automation

Interdisciplinary methodological competence:

• Learning quality management methods that are transferable to other areas beyond the field of software development
.

Self-competence:

• Independent familiarization with in-depth questions and presentation of results

Social skills:

• Independent development of exercise units, practice with fellow students, organization of feedback by fellow students

Self-competence:

• The participants are able to independently deal with current developments in the field of artificial intelligence and its specializations and current applications in the field of business informatics and to understand the core statements.

Social skills:

• The participants are able to lead discussions on scientific issues (in particular with regard to the applicability of the content taught to their field of study)
The participants understand the relevance of the content taught for their field of study and are able to communicate this relevance adequately.The participants can discuss the challenges of the project tasks together in project-oriented group work, identify possible alternative approaches and define, implement and evaluate justified approaches.

Basic part:

• Introduction to the Python programming language and selected libraries for preparing and manipulating data
• Basic concepts of artificial intelligence (agent theory, environments, application areas, search methods, Markov decision processes, constraint satisfaction problems, etc.)
• Introduction to machine learning (neural networks, learning paradigms, applications, etc.)

Main part:

• Classical optimization methods of AI and associated solution approaches using the example of the Traveling Salesman Problem
• Introduction to the field of natural language processing with a focus on autonomous text-based dialog systems ( chatbots ) and sentiment analysis
• Reinforcement Learning: current methods and limitations as well as exemplary application in the areas of optimization methods and autonomous text-based dialog systems
• Consideration of selected topics from the field of AI ethics with a focus on applications and relevance in business informatics

Project-oriented part:

• Project-oriented practical application of the content learned to specific topics relevant to the field of business informatics. Possible examples to be selected in the course: Development of autonomously acting chatbots in customer support, solution of concrete optimization problems, for example in warehousing, etc.
  The methods considered in the course are to be applied and evaluated in practical applications.

• Stuart Russell und Peter Norvig, Artificial Intelligence: A Modern Approach, Global Edition, Pearson 2021

Teaching advanced content on the topic of distributed systems and teaching the basics of wireless and mobile systems

Technical and methodological competence:

• Describe the basics of signal propagation and transmission techniques
• Name and describe the most important technologies (wired and wireless)
• Differentiated description of the special aspects of routing, QoS and localization
• Understand the special features of software development for small devices (e.g. smartphones) in detail
• Classifying current and future developments in the overall context
• Perform prototype programming of wireless applications

Self-competence:

• Independent processing of current research-related questions

Social skills:

• Working in small teams
• Results-oriented group work

Literatur:

• Schiller, Jochen: Mbilkommunikation, Pearson Studium, 2000
• Sauter, Martin: Grundkurs Mobile Kommunikationssysteme: UMTS, HSDPA und LTE, GSM, GPRS und Wireless LAN, Vieweg und Teubner, 4. Auflage 2011
• Firtman, M.: Programming the Mobile Web, O'Reilly Media, 2010
• Fling, B.: Mobile Design an Development: Practical Concepts and Techniques for Creating Mobile Sites and Web Apps, O'Reilly Media, 2010