Master, Berufsbegleitend
- Campus Hagenberg
- E-Mail eni@fh-hagenberg.at
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Studienplan
Module
Interdisziplinäre Kompetenzen
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Physics |
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PhysicsDieser Kurs zielt darauf ab, den Studierenden ein grundlegendes Verständnis der physikalischen Grundprinzipien im Energiesektor zu vermitteln. Dadurch sollen ihr konzeptionelles Verständnis der physikalischen Gesetze verbessert und ihre Problemlösungsfähigkeiten gesteigert werden. Besonderes Augenmerk wird auf die Messung im Kontext der Energieerzeugung, -verteilung und -speicherung gelegt. Physics
- Fundamental definitions and units DC and AC, current, voltage, resistor, impedance, energy and power. - Measurement technology Fundamentals of measurements (electrical Power, electrical energy, temperature, light); measurement chain (sensor to data acquisition). - EMC Physically principles of electromagnetically impacts; screening and coupling decreasing measures; source and sink considerations; filtering. - Measurement errors and accuracy Error types (systematic, digitalization, random, ...); accuracy; resolution. - Data acquisition concepts - Filtering of data - Measurement amplifiers |
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International Energy Markets and Energy Law |
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International Energy Markets and Energy LawDie Teilnehmer entwickeln ein umfassendes Verständnis für die verschiedenen Aspekte des Energierechts und -marktes, wobei der Schwerpunkt deutlich auf den Bereichen Elektrizität und Gas liegt. Besonderes Augenmerk wird auf die unterschiedlichen Herangehensweisen gelegt, die in verschiedenen Ländern verfolgt werden. International Energy Markets and Energy Law
- Energy and Climate Policy within the EU The 2020 climate and energy package; the 2030 framework for climate and energy policies; liberalisation of the electricity and gas markets; promotion of the use of energy from renewable sources; energy efficiency directive; the EU emissions trading system; regulation on wholesale energy market integrity and transparency (REMIT); agency for the cooperation of energy regulators; network codes. - Smart Meter Smart meter rollout recommendation (EU); smart grid task forces (EU); homologation/verification of meters (Non EU/EU/National). - Energy pricing with respect to examples like: Whole sale trading market, stock exchange; classical energy utilization; domestic systems; island systems. - Microgrid systems Energy trading Market places, products, hedging, … - Financial assessment - Overview on marketing and market development |
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Processes and Process Modelling |
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Processes and Process ModellingStudierende verstehen existierende Marktprozesse in einem liberalisierten Energiemarkt und beherrschen Software-Werkzeuge und Methoden, die die Modellierung solcher Prozesse unterstützen. Processes and Process Modelling
- Market roles and processes in a liberalized energy market Supply contract management and related processes, such as start of supply, move-in and move-out and end of supply; grid usage contracting and billing; meter-reading services; master data distribution; energy settlement; process and communication monitoring; grid operator, supplier. - Business processes - Rollout process - Processes modelling Methodologies, tools. |
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Energy Generation, Distribution and Storage |
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Energy Generation, Distribution and StorageAbsolvent*innen erlangen ein umfassendes Verständnis über den Aufbau und die Funktionsweise unserer Energieinfrastruktur. Dies umfasst die verschiedenen Methoden der Energieerzeugung, die Mechanismen und Infrastrukturen, die für den Transport von Energie über große Entfernungen benötigt werden unter besonderer Berücksichtigung von Smart Grids. Ein weiterer Schwerpunkt liegt auf verschiedenen Technologien und Methoden zur Speicherung von Energie für spätere Verwendung. Die Lehrveranstaltung betont auch die Bedeutung von Energieeffizienz und nachhaltiger Energieerzeugung, -verteilung und -speicherung, um Umweltauswirkungen zu minimieren und eine langfristige Versorgungssicherheit zu gewährleisten. Zusätzlich werden aktuelle technologische Entwicklungen, Trends und zukünftige Perspektiven in der Energiebranche diskutiert. Energy Generation, Distribution and Storage
- Power generation Fossil, nuclear and renewables; harmonics and load system feedback; economic aspects of operation; plant deployment planning; maintenance and monitoring energy demand; forecasts; load fluctuations energy transmission and distribution; concepts and technologies; components; high voltage DC systems grid stability and load flow control; smart grid - a critical infrastructure; primary, secondary and tertiary control (e.g. PV and wind systems impact); load flow control; grid control (voltage, active / reactive power; frequency); protection and failure prevention and interruption; settling up after black out energy storage; hydro; batteries; hydrogen; flywheels; power to gas. - Centralized versus distributed concepts - Smart grid aspects Idea; safety and emergency operation features. |
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Energy Consumers |
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Energy ConsumersStudierende können Potenziale zur Steigerung der Energieeffizienz identifizieren und die damit verbundenen wirtschaftlichen Auswirkungen beurteilen. Sie erkennen die Rahmenbedingungen, unter denen energieeffiziente Technologien erfolgreich implementiert werden können. Dies beinhaltet auch das Verständnis von Konzepten wie Passivhäusern und Niedrigenergiehäusern. Die Studierenden werden befähigt, Automatisierungskonzepte zu verstehen und ihre Auswirkungen auf die Energieeffizienz und Kostenreduktion durch Lastverschiebung zu bewerten. Zusätzlich erlangen sie die Fähigkeit, die ökonomischen und ökologischen Auswirkungen dieser Maßnahmen zu analysieren. Energy Consumers
- Technology of energy consumers with special respect to energy efficiency and load shift flexibility: Lights ( Tungsten, florescent, LED); power supply aspects (power electronic converters, daylight concepts, drives, single phase, three phase); heating, cooling, and venting systems (heat pumps, venting systems, air conditions, fridges). - Applications with respect to efficiency and load shift potential: Pumping; compressed air; heating, venting and air conditioning (low energy and passive house aspects); lighting (life cycle, physiology, and architecture aspects); street lighting (life span aspects with special aspects to: LED technology (lightning protection, life span under environ-mental conditions)). - Automation aspects: Automation concepts; additional auxiliary energy aspects; energy saving potentials due to automation. - Economic aspects of energy efficient technologies and load shift. |
Technische Kompetenzen
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Communication Technology |
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Communication TechnologyStudierende erhalten Einblick in die Kommunikationstechnologien, die im Zusammenhang mit Smart Grids zum Einsatz kommen. Ein besonderer Schwerpunkt liegt auf den Powerline- und Funkkommunikation. Neben den spektralen Anforderungen, den Eigenschaften des Kommunikationskanals und den Modulationsprinzipien werden auch die rechtlichen Anforderungen in diesem Kurs behandelt. Zusätzlich wird ein Überblick über bestehende und laufende Standardisierungsarbeiten gegeben. Communication Technology
- State of the art communication technology - Communication architectures and models for smart grid - Physical data communications, access, detection and estimation techniques for smart grid - Smart grid and wide-area networks - Spectrum requirement planning - Communication channel characteristics: CENELEC A-D Band; FCC; ARIB; EPRI; ISM; COSTxxx; IMT etc. - Radio communication systems: Cellular systems; wireless local area networks; terrestrial broadcasting; shortrange communication. - Standards / Upcoming standards: IEEE P1901; ITU-T G.hn; IEEE 802.15.4; 6LoWPAN; IEEE 802.11; ETSI GS OSG 001; G3-PLC; homeplug. |
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Smart Grid Field Components |
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Smart Grid Field ComponentsSmart-Grids bestehen aus vielen verschiedenen Komponenten, die für die Messung, die Überwachung und der Steuerung von Umgebungs- und Netzparametern erforderlich sind. Im Rahmen dieses Moduls werden diese Komponenten hinsichtlich Funktionalität, verwendete Kommunikationstechnologien der der erforderlichen Zulassungs- und Eichthematik behandelt. Smart Grid Field Components
- Electricity meters (single phase, poly phase, CT), gas meters, water meters, cooling/heating meters: measuring principles, smart meter architectures, smart meter protocols (M-Bus, OMS, DLMS/COSEM, OSGP, meters and more, …), homologation and verification. - Load management components (ripple control) - Gateways - Power quality measurement components (EN 50160, ...) - Switchgears, protection devices, automation devices, relevant standards (IEC 61850, …) - Charging stations and protocols (open charge point protocol, …) |
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IT Security |
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IT SecurityDas Modul vermittelt einen fundierten Überblick und ein kritisches Bewusstsein für aktuelle Entwicklungen und zukünftige Trends in den Grundlagen der IT-Sicherheit, Kryptographie, Netzwerk- und drahtlosen Sicherheit, Smart-Grid-Sicherheit, Cyber-Bedrohungen und Bedrohungsanalyse, IT-Risikomanagement sowie Informationssicherheitsmanagement. IT Security
Terms and definitions in IT security, introduction into network security and cryptography and security aspects of Industrial Control Systems as well as an introduction into Smart Grid Security. Protection targets and security objectives, treads in it security, cyber threads and tread analysis, introduction in to it risk management methods (topics, methods and standards like ISO 31000 and NIST SP300-80). An introduction into information security management (topics, methods and Security Standards like ISO 2700x family and BSI Grundschutz) and business continuity management. Additionally relevant international frameworks and models, like: - Austrian Cyber-Security-Strategy (in German) (ÖSCS, 2013, BKA, BM.I, BMLVS) - Cyber-Security Risk Analysis (in German) (KSÖ, BM.I, 2011) - Austrian Programme for Critical Infrastructure Protection (AP-CIP, 2008, BM.I) - European Programme for Critical Infrastructure Protection (EP-CIP, 2006) - NIST Cyber-Security Framework (NIST-Guidelines for Smart Grid Cyber Security) - NIST Guideline to Intrustion Detection and Prevention Systems - NESCOR Guide to Penetration Testing for Electrical Utilities - Schweizer IKT-Risikoanalyse will be discussed. |
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Software Systems I |
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Software Systems IAbsolvent*innen erhalten einen umfassenden Einblick in den funktionalen und architektonischen Aufbau von SW-Produkten, wie sie bei Energieversorgern oder Netzbetreibern zum Einsatz kommen. Sie beherrschen SW-Produkte, die das Modellieren solcher Systeme hinsichtlich Schnittstellen, Architektur, Austauschformate etc. erlauben. Darüber hinaus wird ein Überblick über aktuelle Standards gegeben. Software Systems I
- Functionality of Operation Support, Business Support and Customer Information Systems: Headend systems (HES), grid management system (GMS), meter data management (MDM), energy data management (EDM), geographic information system (GIS), enterprise resource planning system (ERP), customer information systems (CIS). - Principles of scalable architectures - Common Information Model (CIM) - Ongoing Standardization |
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Home and Building Automation |
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Home and Building AutomationAbsolvent*innen kennen den prinzipiellen Aufbau von Home- und Buildingautomations-Systemen. Sie verstehen die Funktionsweise wesentlicher Sensoren und Aktoren und können derartige Systeme systematisch planen. Ebenso sind sie in der Lage auf Basis von KNX und Loxone Lösungen praktisch umzusetzen. Darüber hinaus kennen sie eine Vielzahl weiterer OpenSource (OpenHAB, HomeAssistant), wie auch proprietärer Lösungen (Homematik etc.) Home and Building Automation
KNX, LON, BACNet, digitalstrom, DALI, Z-Wave, ZigBee, EnOcean, HomePlug (AV, GreenPhy), Nest, ULE (DECT), G3-PLC, IEEE 1901.2, BACnet, EEBus, openHAB, OSGI (Open Services Gateway initiative), Apple HomeKit. |
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Cloud Computing / Big Data |
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Cloud Computing / Big DataSmart-Grid-Anwendungen generieren riesige Mengen neuer Daten. Diese beträchtliche Datenmenge muss auf kosteneffektive Weise verarbeitet, analysiert und gespeichert werden. Die Absolvent*innen erlernen die Systemarchitektur der wichtigsten Cloud-Computing-Plattformen und können deren Anwendungen bewerten. Sie erwerben fundierte Kenntnisse im Entwurf hochskalierbarer Softwareanwendungen und können die relevanten architektonischen Muster anwenden. Die Absolvent*innen sind mit den Programmiermodellen und verfügbaren Diensten der wichtigsten Cloud-Computing-Anbieter vertraut und können Cloud-Anwendungen für diese Plattformen entwerfen. Cloud Computing/Big Data
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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Software Systems II: SCADA |
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Software Systems II: SCADAThis module aims at providing insights into software concepts, products and communication technologies for electric power system automation and analysis. Students will learn about control architectures and information/data processing in power grids and which protocols are used with respect to their standards. Also, students will gain an overview on existing products and their typical features in order to be able to understand practical requirements to software systems and be able to select/introduce such systems in companies. While power grid automation integrates embedded devices, students will also learn to understand the special requirements concerning integration and (real-time) communication that result from the respective components. Beside typical SCADA systems used in online-operation of power grids, simulation and analysis tools build a secondary focus of the course. Here, students shall gain insights into standard analysis methods for demand and generation forecasts, applied computation methods for simulation and analysis, and once more typical software products and their abilities. In a practical part, students will get in touch with such systems in order to deepen their understanding through hands-on learning. Software Systems II: SCADA
- Power System Operation: Supervisory control and data acquisition (SCADA); basics of power grid automation (typical functionality, real-time requirements, information flow); information architecture (CIM-reference model); protocols (IEC 61850, IEC 60870-5 standards, DNP3); deepened understanding of IEC 61850; existing software solutions and their features; power grid protection; IT security aspects in power grids. - Power System Analysis: Data analysis (weather forecast, load profiles and simultaneity of loads); basic simulation/computation/analysis approaches used in power grid operation (load flow, short circuit); optimization and control of the grid (optimal power flow, load frequency control). - Practical Part: Application of selected SCADA and simulation tools. |
Wissenschaftliche Kompetenzen
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Scientific Working |
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Scientific WorkingDie Kursteilnehmer*innen erlernen die Techniken zum Verfassen wissenschaftlicher Arbeiten und setzen diese in ihre eigenen Arbeiten um. Durch die Unterstützung und das Feedback des Betreuers wird ein sukzessiver Fortschritt mit kontinuierlicher Verbesserung der Qualität gewährleistet. 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 Seminar |
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Master's Thesis SeminarDie Teilnehmer*innen dieses Moduls erlernen die Techniken zum Verfassen wissenschaftlicher Arbeiten und setzen diese in ihre eigenen Arbeiten um. Durch die Unterstützung und das Feedback des Betreuers wird ein kontinuierlicher Fortschritt mit stetiger Verbesserung der Qualität gewährleistet. Master's Thesis Seminar
Course 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. |
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Master's Thesis |
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Master's ThesisAbsolvent*innen erlernen die Techniken zum Verfassen wissenschaftlicher Arbeiten und setzen diese in ihren eigenen Arbeiten um. Durch die Unterstützung und das Feedback des Betreuers wird ein fortschreitender Fortschritt mit kontinuierlicher Verbesserung der Qualität sichergestellt. Master’s Examination
Master’s Examination Master's Thesis
Course 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. |
Methodische/Organisatorische Kompetenzen
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Systems Engineering I: Fundamentals |
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Systems Engineering I: FundamentalsAbsolvent*innen verfügen über fortgeschrittene Kenntnisse im Bereich System- und Softwaretechnik, die alle Phasen von der Anforderungsanalyse bis zur Wartung umfassen. Neben Prozessen und Methoden liegt der Schwerpunkt auf der Verwendung standardisierter Modellierungssprachen wie UML oder SysML. Das Wissen über Softwaremetriken sowie die methodische Prüfung von Softwaresystemen vervollständigen diese Expertise. Systems Engineering I: Fundamentals
Fundamentals of systems and software engineering; system development life cycle, life cycle management, agile and traditional processes and methods, unified process, scrum, XP, eclipse process framework project; requirements engineering, use cases; software architectures; modeling structure and behavior in UML and SysML, UML style guidelines, language architecture of UML (Metamodel, meta object facility (MOF)), XML metadata interchange format (XMI), UML profiles, object constraint language (OCL), eclipse modeling framework (EMF), graphical modeling framework, model-to-model transformation, model-to-text transformation, code generation, Xtext and Xtend; model driven architecture, domain specific languages and domain specific modeling; software configuration management (SCM), defect tracking. |
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International Project Management |
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International Project ManagementAbsolvent*innen erlangen umfassende Expertise in der praktischen Anwendung des internationalen Projektmanagements. Dies beinhaltet interkulturelle Verhandlungsprozesse, ein vertieftes Verständnis gesellschaftlicher und beruflicher Kulturen sowie die Grundprinzipien agiler Projektmanagementmethoden. International Project Management
- Intercultural competences: Global awareness, cultural dimensions and standards, negotiation styles and insights into cultural communication practices, management of multicultural projects based on case studies and critical incidents. - Leadership skills: Leadership theory, leading with cultural intelligence, common traits in leaders, change management and decision making processes, conflict resolution. - International project management: Characteristics of international projects, pitfalls and success factors, project concept creation, force field analysis. |
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Master's Thesis Project |
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Master's Thesis ProjectProjekte sollten die Studierenden möglichst realistisch auf ihr späteres Berufsleben vorbereiten, indem konkrete Fallstudien verwendet werden und die Verbindung zum theoretischen Lehrinhalt durch eigenständige Recherche zu realen Themen verstärkt wird. Termin- und Stresssituationen sollten nicht vermieden werden; großen Wert wird auf effektives Zeitmanagement gelegt. Teamarbeit und die Fähigkeit zur Zusammenarbeit sollten gefördert werden, ebenso wie individuelle Initiative, schnelle Beurteilung komplexer Situationen und flexible Reaktion in unerwarteten Situationen. Master's Thesis Project
The project work 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. |
Wahlfächer (Pro Semester muss ein Wahlfach gewählt werden)
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Elective Course 1 |
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Elective Course 1Elective Course 1
Please choose one of the following elective courses each semester. You can also select courses from other Master’s degree programmes after consultation with the Head of Studies. - Design of Eco-Feedback (5 ECTS) In this course, students will explore how technology can be used to effectively sense and report information about environmental behaviours to promote awareness and enable positive behaviour change. Students will learn the fundamental concepts of human-computer interaction and user-centered design thinking. - Electromobility (5 ECTS) Types of electrical cars, comparison of electric and combustion engine concepts, dominant energy consumption effects, environmental impact, electrical drives, battery systems, auxiliary consumers in cars and aspects of consumption decreasing, safety aspects, charging aspects. - Numeric and Heuristic Optimization (5 ECTS) Introduction and basic definitions, taxonomy of optimization methods, examples of optimization problems, heuristic optimization vs. exact methods, motivation and survey of metaheuristic optimization algorithms, trajectory based methods, hill-climbing methods, simulated annealing, tabu-search, population based methods , ant colony optimization (ACO), particle swarm optimization (PSO),genetic algorithms (GA), evolution strategies (ES), genetic programming (GP), hybrid methods. - Project (5 ECTS) Independent project work that should be assigned to one of courses of the then current semester or in addition to the Master’s theses project to the Master’s theses itself. 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’s thesis topic. - Software Architecture and Patterns (5 ECTS) 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. - Systems Engineering II: Metrics and Testing (5 ECTS) 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 process, test-driven development, model-based testing, GUI-testing, UML testing profile, TTCN-3 (Testing and test control notation), certifications. |
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Elective Course 2 |
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Elective Course 2Elective Course 2
Please choose one of the following elective courses each semester. You can also select courses from other Master’s degree programmes after consultation with the Head of Studies. -Design of Eco-Feedback (5 ECTS) In this course, students will explore how technology can be used to effectively sense and report information about environmental behaviours to promote awareness and enable positive behaviour change. Students will learn the fundamental concepts of human-computer interaction and user-centered design thinking. - Electromobility (5 ECTS) Types of electrical cars, comparison of electric and combustion engine concepts, dominant energy consumption effects, environmental impact, electrical drives, battery systems, auxiliary consumers in cars and aspects of consumption decreasing, safety aspects, charging aspects. -Numeric and Heuristic Optimization (5 ECTS) Introduction and basic definitions, taxonomy of optimization methods, examples of optimization problems, heuristic optimization vs. exact methods, motivation and survey of metaheuristic optimization algorithms, trajectory based methods, hill-climbing methods, simulated annealing, tabu-search, population based methods , ant colony optimization (ACO), particle swarm optimization (PSO),genetic algorithms (GA), evolution strategies (ES), genetic programming (GP), hybrid methods. -Project (5 ECTS) Independent project work that should be assigned to one of courses of the then current semester or in addition to the Master’s theses project to the Master’s theses itself. 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’s thesis topic. -Software Architecture and Patterns (5 ECTS) 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. -Systems Engineering II: Metrics and Testing (5 ECTS) 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 process, test-driven development, model-based testing, GUI-testing, UML testing profile, TTCN-3 (Testing and test control notation), certifications. |
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Elective Course 3 |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Elective Course 3Elective Course 3
Please choose one of the following elective courses each semester. You can also select courses from other Master’s degree programmes after consultation with the Head of Studies. -Design of Eco-Feedback (5 ECTS) In this course, students will explore how technology can be used to effectively sense and report information about environmental behaviours to promote awareness and enable positive behaviour change. Students will learn the fundamental concepts of human-computer interaction and user-centered design thinking. - Electromobility (5 ECTS) Types of electrical cars, comparison of electric and combustion engine concepts, dominant energy consumption effects, environmental impact, electrical drives, battery systems, auxiliary consumers in cars and aspects of consumption decreasing, safety aspects, charging aspects. -Numeric and Heuristic Optimization (5 ECTS) Introduction and basic definitions, taxonomy of optimization methods, examples of optimization problems, heuristic optimization vs. exact methods, motivation and survey of metaheuristic optimization algorithms, trajectory based methods, hill-climbing methods, simulated annealing, tabu-search, population based methods , ant colony optimization (ACO), particle swarm optimization (PSO),genetic algorithms (GA), evolution strategies (ES), genetic programming (GP), hybrid methods. -Project (5 ECTS) Independent project work that should be assigned to one of courses of the then current semester or in addition to the Master’s theses project to the Master’s theses itself. 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’s thesis topic. -Software Architecture and Patterns (5 ECTS) 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. -Systems Engineering II: Metrics and Testing (5 ECTS) 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 process, test-driven development, model-based testing, GUI-testing, UML testing profile, TTCN-3 (Testing and test control notation), certifications. |
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Elective Course 4 |
5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Elective Course 4Elective Course 4
Please choose one of the following elective courses each semester. You can also select courses from other Master’s degree programmes after consultation with the Head of Studies. -Design of Eco-Feedback (5 ECTS) In this course, students will explore how technology can be used to effectively sense and report information about environmental behaviours to promote awareness and enable positive behaviour change. Students will learn the fundamental concepts of human-computer interaction and user-centered design thinking. - Electromobility (5 ECTS) Types of electrical cars, comparison of electric and combustion engine concepts, dominant energy consumption effects, environmental impact, electrical drives, battery systems, auxiliary consumers in cars and aspects of consumption decreasing, safety aspects, charging aspects. -Numeric and Heuristic Optimization (5 ECTS) Introduction and basic definitions, taxonomy of optimization methods, examples of optimization problems, heuristic optimization vs. exact methods, motivation and survey of metaheuristic optimization algorithms, trajectory based methods, hill-climbing methods, simulated annealing, tabu-search, population based methods , ant colony optimization (ACO), particle swarm optimization (PSO),genetic algorithms (GA), evolution strategies (ES), genetic programming (GP), hybrid methods. -Project (5 ECTS) Independent project work that should be assigned to one of courses of the then current semester or in addition to the Master’s theses project to the Master’s theses itself. 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’s thesis topic. -Software Architecture and Patterns (5 ECTS) 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. -Systems Engineering II: Metrics and Testing (5 ECTS) 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 process, test-driven development, model-based testing, GUI-testing, UML testing profile, TTCN-3 (Testing and test control notation), certifications. |
Kontakt
E-MailE eni@fh-hagenberg.at
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