Telecommunications and Internet Technologies: Curriculum

The existing Master's degree program Telecommunications and Internet Technologies is being developed into the new Master's degree program Internet of Things and Smart Systems (subject to approval by AQ Austria).

1. Semester

Name ECTS
SWS
Data Management (M15)
English/German / iMod
5.00
-
Data Management (DM)
- / LAB
5.00
3.00
Innovation- and Technologymanagement (M16)
English/German / iMod
5.00
-
Innovation- and Technologymanagement (ITM)
- / SE
5.00
3.00

Course description

The course "Innovation- and Technologymanagement" offers you on the one hand current theory and practical examples of IT innovations, on the other hand you apply the learned theoretical knowledge practically by working on a problem defined by our corporate partner. This dual teaching approach provides the opportunity to learn practical skills in innovation development, prototyping and iterative work through user research to finally critically discuss solutions. At the end of the course, you will be proud of two outcomes: One, you will have developed and presented a prototype to solve our corporate partner's challenge. The core is the design of an innovation strategy, the creation of an implementation concept including accompanying measures based on a prototype. On the other hand, you will have written an individual knowledge contribution about an innovation or technology application.

Methodology

Theory input from the lecturer Group work with a predefined problem of a company Discussion rounds Written elaboration and reflection of contents

Learning outcomes

After passing this course successfully students are able to ...

  • plan and execute innovation strategies and processes
  • critically discuss IT innovation tools and theories
  • conduct a design sprint that specifically includes prototyping, user research, and iterative innovation processes
  • evaluate and develop emerging technologies that induce innovation

Course contents

  • Design thinking and design sprints
  • Iterative work based on prototyping: from paper to digital prototypes
  • Innovation organization & processes: Design of innovation processes and their implementation using concrete company examples.
  • Theories (e.g. innovator's dilemma, open innovation, user lead innovation as well as co-creation approaches)
  • Technology-induced innovation: models for evaluating technologies, technology radar, uncovering future trends
  • Tools of IT innovation: playful approaches to IT innovation, innovation games; application of creativity techniques

Prerequisites

none

Literature

  • Franken, R., & Franken, S. (2020). Wissen, Lernen und Innovation im digitalen Unternehmen (Vol. 2). Mit Fallstudien und Praxisbeispielen. Springer Gabler, Wiesbaden
  • Bodemann, M., Fellner, W., & Just, V. (2021). Zukunftsfähigkeit durch Innovation, Digitalisierung und Technologien: Geschäftsmodelle und Unternehmenspraxis im Wandel, Springer Gabler, Wiesbaden

Assessment methods

  • Case Study "Innovation in an incumbent corporate": Application of theoretical knowledge in a practical application case; 50% of the total grade (group assessment)
  • Creation of a knowledge contribution: 20% of the total grade (individual performance)
  • Multiple Choice Exam 30% of the grade (individual performance)

Anmerkungen

-

IoT Operating Systems (M13)
English/German / iMod
5.00
-
IoT Operating Systems (IOS)
- / LAB
5.00
3.00
IoT System Models (M12)
English/German / iMod
5.00
-
IoT System Models (ISM)
- / ILV
5.00
3.00

Course description

The IoT System Models course covers the processing of the theoretical basis for the analysis and development of IoT systems.

Methodology

This ILV has been developed according to the "Constructive Alignment" principle. Each topic is processed in a distance learning and in a presence phase. These two phases complete each other and the main method in this ILV is "learning by doing". The distance learning is worked out by the students in self-study. Questions and open points are discussed in regular forums and meetings with the lecturer. In the attendance phase, the results of the distance learning are to be presented and the following topic is to be conveyed in the form of an impulse lecture.

Learning outcomes

After passing this course successfully students are able to ...

  • explain basic concepts and terms of IoT systems,
  • categorize and define IoT systems,
  • define common basic elements, properties and interfaces of IoT systems,
  • describe basics of Operation Technologies (OT) such as automation pyramid architecture as a basis for IIoT architectures,
  • understand and interpret key IoT standards and norms,
  • explain essential technologies on which IoT architectures are built (e.g. sensors, gateway, IT server, database),
  • specify requirements for the real-time capability (Real Time Operation) reliability, availability and safety (Security and Functional Safety) of IoT systems,
  • Specify elementary application-specific system architecture, define its interfaces, and implement it in the lab.

Course contents

  • Introduction to IoT systems (definition, history, application areas, ...)
  • Categorization of IoT systems (Industrial IoT, Home Automation, ...)
  • Architecture of IoT systems (general and application-specific)
  • Infrastructure fundamentals
  • Standardization
  • Real-time capability
  • Fail-safe
  • Team project

Prerequisites

Basic knowledge according to acceptence criteria

Literature

  • Prof. Dr. rer. nat. Felix Hüning (2018), Embedded Systems für IoT, Springer Vieweg, © Springer-Verlag GmbH Deutschland
  • Prof. Dr. Steffen Wendzel (2018), IT-Sicherheit für TCP/IP- und IoT-Netzwerke, Springer Vieweg, © Springer-Verlag GmbH Deutschland
  • David Hanes, Gonzalo Salgueiro et. al., IoT Fundamentals, Cisco Press, ISBN-13: 978-1-58714-456-1, 2017 Cisco Systems

Assessment methods

  • Immanent performance review (active participation/intermediate tests, 20%)
  • Team project, 40% (e.g., specify system architecture, define its interfaces, and present it as a team).
  • Final exam (theory, practical tasks, 40%)
Mobile and Wireless Systems (M14)
English/German / iMod
5.00
-
Mobile and Wireless Systems (MWS)
- / LAB
5.00
3.00

Course description

The scope of this lecture are the basics, necessary for wireless data transmission and communication

Methodology

Presentation Excercises | Simulation Study of provided material and references

Learning outcomes

After passing this course successfully students are able to ...

  • understand the basics of wave propagation
  • understand the elements a transmission path or circuit
  • understand the implementation of cellular communication networks, the related procedures like connection Setup, Authentication, Authorization, Handover and the associated signaling between the involved network elements
  • calculate the coverage and the capacity of the air interface
  • understand technologies like, digital modulation-, multiple access-, duplex-schemas, antenna technologies, MIMO and the associated mathematical basics in this context
  • understand the concepts of NFV, SDN, and Network Slicing as applied in 5G
  • understand the concepts of Low Power Wide Area Networks, their applicability and the aspects necessary to be considered in context of application development
  • understand the necessity of a standardized software middle layer, in respect of scalability and interoperability in context of application development

Course contents

  • Network- architectures and elements as well as the associated protocols as used in (GSM, GPRS, 3G, LTE, 5G..)
  • Cellular technologies for IoT devices (NB-IoT, LTE Cat-M, Lora)
  • Procedures and signaling of cellular communication systems
  • Physical aspects of the Air interface and related technologies for the data transmission over a wireless channel (CDMA, OFDMA, MIMO etc..)
  • NFV, SDN and Network Slicing
  • Standardized Software components (oneM2M, LwM2M) to ensure interoperability of applications

Prerequisites

Basic mathematical skills in: x.) Fourier series x.) Fourier transform x.) Trigonometric functions

Assessment methods

  • two written exams
Networking (M11)
English/German / iMod
5.00
-
Networking (NET)
- / LAB
5.00
3.00

2. Semester

Name ECTS
SWS
Data Analysis (M25)
English/German / iMod
5.00
-
Data Analysis (DAA)
- / LAB
5.00
3.00
IT- and Data Protection Law (M26)
English/German / iMod
5.00
-
IT- and Data Protection Law (IDR)
- / SE
5.00
3.00
IoT Systems Development (M21)
English/German / iMod
5.00
-
IoT Systems Development (ISD)
- / LAB
5.00
3.00
Iot Technologies (M23)
English/German / iMod
5.00
-
Iot Technologies (ITT)
- / ILV
5.00
3.00
Security (M24)
English/German / iMod
5.00
-
Security (SEC)
- / LAB
5.00
3.00
Sensor-/Actor Systems & Control Theory (M22)
English/German / iMod
5.00
-
Sensor-/Actor Systems & Control Theory (SAS)
- / LAB
5.00
3.00

3. Semester

Name ECTS
SWS
Automation (M31)
English/German / iMod
5.00
-
Automation (AUT)
- / LAB
5.00
3.00
Digital Leadership (M35)
English/German / iMod
5.00
-
Digital Leadership (MLS)
- / SE
5.00
3.00
Master's Project (M33)
English/German / iMod
5.00
-
Master's Project (MAP)
- / PRJ
5.00
3.00
Scientific Work (M34)
English/German / iMod
5.00
-
Scientific Work (SCW)
- / SE
5.00
3.00
Specialization (M32)
English/German / kMod
10.00
-
Advanced IoT Operating Systems (AIO)
- / LAB
5.00
3.00
Advanced IoT Systems Development (AID)
- / LAB
5.00
3.00
Advanced Networking (ANE)
- / LAB
5.00
3.00
App Development (APP)
- / LAB
5.00
3.00
Digital Business Modelling (DBM)
- / SE
5.00
3.00
Embedded Security (ESE)
- / LAB
5.00
3.00
Sensor Data Analytics (SDA)
- / LAB
5.00
3.00
Software Development Processes (SDP)
- / ILV
5.00
3.00

4. Semester

Name ECTS
SWS
Master Thesis (M41)
English/German / iMod
30.00
-
Master’s Seminar (MAS)
- / SE
5.00
3.00
Master’s Thesis (MAT)
- / SO
25.00
1.00