Master, Vollzeit
- Campus Hagenberg
- E-Mail mc@fh-hagenberg.at
- Telefon +43 5 0804 22800
- Infoblatt downloaden Anfrage stellen
Studienplan
Module
A. Mobile Communication
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Location-Based and Context-Aware Systems |
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Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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Mobile Services |
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Mobile Services
Immersion in the construction and functions of public and private mobile networks. Knowledge of architecture, protocols, interfaces Mobile Services
Survey of Services and Service Architecture, Mobile Messaging (SMS, EMS, MMS, Unified Messaging), IMS (IP Multimedia Subsystem) incl. Group List Management, Presence, Location-Based Services, SIP, VoIP |
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Communication Networks |
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Communication Networks
Immersion in the radio resource algorithms used in mobile networks. Communication Networks
Network Technologies and Algorithms. Specialization in |
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Contemporary Concepts in Mobile Communication |
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Contemporary Concepts in Mobile Communication
Immersion in the modern concepts used in mobile networks. Contemporary Concepts in Mobile Communication
Survey of modern concepts in mobile systems. Scheduler as the key element in packet oriented networks, OFDM as the state of the art modulation scheme to deal with high data rates over mobile radio channels, multi antenna technology (antenna diversity, smart antennas, MIMO,…) to increase the utilizable channel capacity. |
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Modeling and Simulation of Mobile Networks |
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Modeling and Simulation of Mobile Networks
Immersion in modeling and simulation of components of a mobile Modeling and Simulation of Mobile Networks
Simulation and modeling methods, representation of signals and systems, random numbers and processes for the simulation, creation of non-uniformly distributed random numbers, Monte Carlo method, convergence behavior, transmission channels. |
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Short-Range Wireless Communication |
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Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Sensors and Networks |
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Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
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Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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B. Ubiquitous Computing
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Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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Augmented Reality |
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Augmented Reality
Augmented Reality (i. e. the overlay of computer graphics onto the Augmented Reality
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude). |
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Home and Building Automation |
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Home and Building AutomationImmersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom. Home and Building Automation
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron |
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Short-Range Wireless Communication |
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Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Sensors and Networks |
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Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
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Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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C. Mobile Infotainment
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Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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Augmented Reality |
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Augmented Reality
Augmented Reality (i. e. the overlay of computer graphics onto the Augmented Reality
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude). |
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Artificial Intelligence |
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Artificial Intelligence
Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial Artificial Intelligence
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains. |
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Computer Vision |
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Computer VisionEinführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen. Computer Vision
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods. |
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Home and Building Automation |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Home and Building AutomationImmersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom. Home and Building Automation
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron |
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Interactive Technologies |
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Interactive Technologies
Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes Interactive Technologies
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces. |
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Short-Range Wireless Communication |
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Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Sensors and Networks |
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Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
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Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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D. Mobile Software Techniques
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Operating Systems for Mobile Applications |
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Operating Systems for Mobile ApplicationsEspecially the strong fluctuation and heterogeneity of end user devices, together with their distribution in the room, make the development of mobile applications a laborious undertaking. Students gain knowledge that enables them, on one hand, to develop software for mobile end user devices and, on the other hand, to design and develop complex and distributed SW systems. Operating Systems for Mobile Applications
Focus on selected mobile operating systems: Android, iOS, BADA, Mobile Linux, BlackBerry, Phone 7 and other operating systems coming up in the next years. |
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Software Architectures and Patterns |
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Software Architectures and Patterns
Due to the restrictive and highly dynamical environment, designing Software Architectures and Patterns
Software Architecture Design Process, Process Models, Software Pattern, Architectural Pattern (Layers, Pipes and Filters, MVC, Blackboard, …), Design Pattern (Builder, Factory, Command, Decorator, Strategy, …), Idioms, Anti-Pattern |
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Cloud Computing |
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Cloud ComputingGraduates learn the system architecture of the main cloud computing platforms and can assess their applications. They acquire a sound knowledge in the design of highly scalable software applications and can apply the relevant architectural patterns. The graduates are familiar with the programming models and available services of major cloud-computing providers, and are capable of designing cloud applications for these platforms. Cloud Computing
Basic principles of cloud computing (idea and motivation, opportunities and risks, application areas), architecture of cloud computing platforms (layer model for the classification of platforms, IaaS, PaaS, SaaS), architecture of cloud applications (tier architecture, AOP, stateful / stateless Services, loose coupling, separation of concerns, asynchronous message processing), Google App Engine (architecture, memory models, task queues, integration of external services, security, programming model), Microsoft Windows Azure (Architecture, Fault Tolerance, programming model, memory services: Blobs, tables , queues, SQL Azure, Windows Azure service bus), Amazon Web Services (architecture, EC2, SQS, SNS, S3, load balancing, VPC). |
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Cross-Platform Development of Mobile Applications |
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Cross-Platform Development of Mobile Applications
With about ten major platforms and operating systems on Cross-Platform Development of Mobile Applications
This course focuses on technical aspects (architecture, design, patterns in cross development frameworks) as well as the applicability of such frameworks in an industrial context (usability, look-and-feel, deployment) and gives an overview about commonly used crossplatform frameworks, including: |
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Distributed Real-Time Systems |
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Distributed Real-Time Systems
Immersion in real-time design and programming with a special focus Distributed Real-Time Systems
Fundamentals of RT Systems (hard/soft RT systems, scheduling etc.), Distributed Systems, Distributed Scheduling Algorithms, Holistic Scheduling, Global Time, Clock Synchronization, Network Time Protocol (NTP), Real-Time Communication (Event- and Time-Triggered Solutions), Real-Time Java, Real-Time CORBA, Real-Time |
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XML Specialization |
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XML Specialization
This course covers the concepts, technology, and applications of XML Specialization
XML, XML-Schema, DTD, Xquery, XPATH, XSLT, DOM/SAX, Xerces, Xalan, kXML |
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Mobile Business and Marketing |
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Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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E. Automotive Computing
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Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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Augmented Reality |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Augmented Reality
Augmented Reality (i. e. the overlay of computer graphics onto the Augmented Reality
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude). |
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Artificial Intelligence |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Artificial Intelligence
Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial Artificial Intelligence
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains. |
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Automotive Computing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Automotive Computing
Immersion in the multimedia entertainment systems, driver supporting and security systems of vehicles as well as traffic telematics. Automotive Computing
- Overview and architecture of vehicles and automotive computer systems: functional domains (power train, chassis, body, HMI, telematics), ECUs, head units, instrument cluster displays … |
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Computer Vision |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Computer VisionEinführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen. Computer Vision
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods. |
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Interactive Technologies |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Interactive Technologies
Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes Interactive Technologies
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces. |
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Short-Range Wireless Communication |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Sensors and Networks |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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F. Mobile Games
| 1. | 2. | 3. | 4. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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|
Augmented Reality |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Augmented Reality
Augmented Reality (i. e. the overlay of computer graphics onto the Augmented Reality
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude). |
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Mobile Games |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile GamesWithin the framework of this module, all of the important components of mobile infotainment will be examined. Mobile Games
Computer game genres, Game Design for the Mobile Games Market, general software architecture of games and interactive applications, software design patterns, architectural patterns, related algorithms and data structures, representation of entities and states, real-time processing of events, game physics, game specific artificial intelligence, architecture and integration of middle ware components like physics, graphics, sound, logic and artificial intelligence, quality assurance in game development, performance-oriented game programming, software project management, game development with Scrum, software testing. |
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|
Artificial Intelligence |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Artificial Intelligence
Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial Artificial Intelligence
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains. |
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|
Computer Vision |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Computer VisionEinführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen. Computer Vision
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods. |
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|
Interactive Technologies |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Interactive Technologies
Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes Interactive Technologies
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces. |
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|
Sensors and Networks |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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|
Mobile Business and Marketing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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G. Ambient Assisted Living/Mobile Health
| 1. | 2. | 3. | 4. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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|
Augmented Reality |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Augmented Reality
Augmented Reality (i. e. the overlay of computer graphics onto the Augmented Reality
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude). |
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|
Artificial Intelligence |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Artificial Intelligence
Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial Artificial Intelligence
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains. |
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|
Computer Vision |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Computer VisionEinführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen. Computer Vision
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods. |
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Home and Building Automation |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Home and Building AutomationImmersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom. Home and Building Automation
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron |
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Interactive Technologies |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Interactive Technologies
Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes Interactive Technologies
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces. |
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Mobile Health and Sports |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Health and Sports
Immersion and specialization in the design and implementation of Mobile Health and Sports
Fundamentals of Biosignal Analysis, EEG, ECG, EMG, , Measuring Blood Pressure, Measuring Blood Flow, Measuring Cardiac Output, Pulsoximetry, Functional Electro-Stimulation (FES), Lactate Measurement, |
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Short-Range Wireless Communication |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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|
Sensors and Networks |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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|
Mobile Business and Marketing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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H. Smart Energy
| 1. | 2. | 3. | 4. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Location-Based and Context-Aware Systems |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Location-Based and Context-Aware Systems
Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore Location-Based and Context-Aware Systems
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, … |
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|
Artificial Intelligence |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Artificial Intelligence
Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial Artificial Intelligence
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains. |
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Home and Building Automation |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Home and Building AutomationImmersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom. Home and Building Automation
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron |
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Short-Range Wireless Communication |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Sensors and Networks |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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I. Logistics
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Computer Vision |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Computer VisionEinführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen. Computer Vision
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods. |
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Short-Range Wireless Communication |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Short-Range Wireless Communication
This course introduces students to the modern technology involved Short-Range Wireless Communication
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC |
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Supply Chain Management |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supply Chain Management
Mobile computing technologies play a very important role in the Supply Chain Management
The Role of IT – “Enablers” of Supply Chain Processes, Collaborative Planning, Forecasting and Replenishment (CPFR), Efficient Consumer Response (ECR), Automatic Identification (Barcode, RFID) in the Supply Chain, Enterprise Application Integration (EAI) Tools, Warehouse Management Systems (WMS) |
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Sensors and Networks |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sensors and Networks
Today's mobile devices are characterized by an increasing number Sensors and Networks
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- |
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Mobile Business and Marketing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile Business and Marketing
Mobile Business is based on the assumption that the increasing Mobile Business and Marketing
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong |
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Methodic/Organization Competences
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Systems Engineering 1: UML and MDA |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Systems Engineering 1: UML and MDA
Graduates possess advanced knowledge in the area of UML Modeling Systems Engineering 1: UML and MDA
Introduction to Systems Engineering, Modeling Using UML, Unified Process, Structure and Behavior Diagrams, UML Style Guidelines, Language Architecture of UML2 (Metamodel, Meta Object Facility (MOF)), XML Metadata Interchange Format (XMI), UML Profiles, Domain Specific Languages and Domain Specific Modeling, Model Driven Architecture, Object Constraint Language (OCL), Eclipse Modeling Framework (EMF), Graphical Modeling Framework, Model-to-Model transformation, Model-to-Text transformation, Code Generation. |
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Systems Engineering 2: Real-Time and Mobility in UML |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Systems Engineering 2: Real-Time and Mobility in UML
Graduates possess advanced knowledge in the area of UML Modeling Systems Engineering 2: Real-Time and Mobility in UML
Introduction to real-time systems (classification of real-time systems, worst-case execution time, scheduling, resources, real-time operating systems), modeling and simulation of real-time systems in UML, SPT profile, MARTE profile, fault-tolerant systems, modeling reliability and availability in UML, architecture and design patterns for mobile and real-time systems. |
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Systems Engineering 3: Metrics and Testing |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Systems Engineering 3: Metrics and Testing
This course is a step by step description of the software metrics. It Systems Engineering 3: Metrics and Testing
Software metrics (e. g., code coverage, kloc, bugs/kloc, cyclomatic complexity, function points, cohesion and coupling,…), black box and white box testing, unit tests, integration tests, system test, regression tests, testing of non-functional properties, test plans, testing tools, automated testing, testing and the software development |
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Interdisciplinary Qualifications
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Project 1: Advanced Project Engineering |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Project 1: Advanced Project Engineering
Due to the rapidly changing IT world and based on a real life scenario Project 1: Advanced Project Engineering
General Agile Methods (Pair Programming, Test Driven Development, Refactoring, Story-Cards, Frequent Code Reviews, etc.). Agile Processes (eXtreme Programming, Scrum, Crystal, Dynamic System Development Methods, Feature Driven Development, etc.), Project Management Basics, Risk Management, Managing Cultural Diversity / (International) Teamwork, Quality Management |
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Project 2 |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Project 2Projects should prepare students as realistically as possible for their later professional lives with concrete case studies and consolidate the connection to theoretical teaching content through the independent study of real themes. Deadline pressure and stress situations should not be avoided; great value is placed on effective time management. Team work and the capacity for teamwork should be promoted, as well as individual initiative, the quick assessment of complex situations and flexible reaction in unexpected situations. Project 2
Independent project work which should be assigned to one of the chosen main focus areas. Team projects (team size: 2-4 persons) are possible. A coach/advisor is assigned to the projects. Immanent project goal is the extraction of a suitable master thesis topic. |
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Project 3: Master's Thesis Project |
3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Project 3: Master's Thesis Project
Projects should prepare students as realistically as possible for their Project 3: Master's Thesis Project
The project work in the 3rd semester is expressively seen as a preparation for the master's thesis. In this project, the concretization of the master's thesis topic will be supported, so that a very clear concept for the master's thesis is available at the end of the semester. This project is normally an individual project and should be conducted with the future thesis advisor as far as possible. |
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Scientific Competences
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Scientific Working |
2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Scientific Working
Course participants learn the techniques of writing a scientific work Scientific Working
Understanding the scientific method, the peer reviewing process, and the organization of program committees and scientific conferences. Improving scientific paper reading and paper writing skills. Improving scientific presentation skills. |
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Master's Thesis |
25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Master's ThesisCourse participants learn the techniques of writing a scientific work and implement these into their own work. Through support and feedback of the advisor, a successive advancement with continuous improvement in quality is assured. Master’s Examination
Master’s Examination Master's Thesis
Finalization of the thesis project and the production of the master's thesis. Thesis Seminar
Accompanying master's thesis seminar which is usually conducted in small groups with the master thesis advisor. |
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Kontakt
E-MailE mc@fh-hagenberg.at
TelefonT +43 5 0804 22800
Quick Links
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