Switch to organizational form part-time Overview Digitalization is bringing IT and the real world ever closer together. Where the two intersect, potential is created for fresh innovation in products, services and jobs – which means a myriad of opportunities for imaginative IT specialists. Smart City, eHealth and mobile app design are just some of many examples. This course invites you to help shape the digital future. Combining the fundamentals of computer science and telecommunications, it offers the prospect of individual specialization.Apply nowContact usContact us!Mag.a Marion BozsingMarina PaukovitsMelanie PaukovitsFavoritenstraße 226, B.3.20 1100 Wien T: +43 1 606 68 77-2130 F: +43 1 606 68 77-2139 informatik@fh-campuswien.ac.atMap main campus Favoriten (Google Maps)Office hours during semester Mon, 8.00 a.m.-12.00 p.m. and 1.30 p.m.-5.45 p.m. Tue, 1.30 p.m.-7.30 p.m. Wed, 9.00 a.m.-12.00 p.m. and 1.30 p.m.-5.45 p.m. Thu, 8.00 a.m.-12.00 p.m.Until further notice the opening hours are not valid. Please make an appointment in advance by phone or e-mail, should personal contact in the secretary's office be necessary.Anrede Frau Herr Vorname *Nachname *E-Mail address *Nachricht *AbsendenIhre E-Mail wurde versendetDuration of course6 SemestersOrganisational formfull-time180ECTSLanguage of instruction German36Study placesFinal degreeBachelor of Science in Engineering (BSc)Application period for academic year 2022/231st October 2021 to 12th June 2022tuition fee / semester:€ 363,361+ ÖH premium + contribution2 1 Tuition fees for students from third countries € 727,- per semester 2 for additional study expenses (currently up to € 83,- depending on degree program and year) What you will need You have a light-hearted and practical attitude to computers and IT in general, using the latest apps for fun, and to make life easier. Inquisitive by nature, you want to know more about the technology behind those apps.When it comes to applications you ask such questions as, what do people need? How can applications be made secure and user-friendly? Where are they best deployed, and how are they best linked to other apps? You typically think in an analytic and systematic manner. Data protection matters to you, and you developed a basic understanding of mathematics and physics at school. What we offer you Since the ‘how’ is every bit as important as the ‘what’, we are continually developing our course content and teaching methods. We were recently invited to present an innovative teaching concept at Columbia University in New York City in which smartphones and tablets serve as mobile learning aids. Alongside teaching, the practical element is important to us. We uphold cooperation agreements with reputable IT businesses that also appear at our annual technology careers fair. Take this opportunity to make important contacts for your future career and open up a dialogue with potential employers. We will help also you put out feelers abroad for the purposes of an internship, Bachelor dissertation or study trip. In the process, you will benefit from our wide-ranging contacts with international universities. If you want to turn your ideas into exciting projects, we will back you all the way. We present the best projects to a broad public through the Innovation Lab (part of our Open House) and the BeSt trade fair. We also give you the chance to take an active part in R&D projects. For example, our Competence Center for IT Security carries out research into security concepts for mobile applications and the Internet of Things. Practical relevance is also guaranteed at our Campus Lecture evenings, which are open to all and feature contributions from prominent experts. What makes this degree program special Personal specialization from the 4th semesterGuaranteed place in the modern network labCertification including Cisco CCNA, Cisco CCNA Security, PMA Level D, Oracle Java, Oracle SQL, ISTQBDigitalization is revolutionizing more and more areas of life and industry – and the interplay of computer science and digital communication is central to this development. It is a symbiosis that is changing the IT sector permanently while creating practically unlimited possibilities for innovative applications. That said, the process calls for technical expertise, project management know-how and the ability to recognize trends early and adapt to evolving situations with flexibility. The prospect of personal specialization while still a student will help you raise your personal profile. Throughout the course, we support students with innovative teaching concepts and research in the future-facing fields of Internet of Things and IT security. Moreover, a modern network lab provides an ideal infrastructure for testing out and implementing practical ideas. As well as gaining a qualification, the FH gives you the opportunity to acquire certificates such as Cisco CCNA 3-4, Cisco CCNA Security, PMA Project Management Austria Level D, Oracle Java, Oracle SQL and ISTQB, all of which are in demand on the job market. What you will learn in the degree program The course combines fundamentals of computer science and telecommunications with soft skills and an eight-week internship. It starts by establishing a knowledge of software, hardware and digital communication.From the fourth semester onwards, you will build on that knowledge in elective subjects and apply it to academic and practically-focused projects.Elective courses on current issues including IT security, mobile app development, virtual reality, project management and modern networks give individual students the opportunity to specialize. Joint projects with our business partners enable you to apply your knowledge and ideas to practical situations. Curriculum 1. Semesters LectureSWSECTSOperating Systems ILVOperating Systems ILVLector: Dr. Loay Alzubaidi, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contentsBasic concepts of operating systems are presented. The lecture explains how processes and threads interact in an operating system. For the practical application of the theoretical concepts, the exercises are provided, which mainly use Linux operating systems. The concepts are illustrated by means of programming examples. Deadlocks are identified and resolved. The operating systems are used in a virtual environment. In particular the lecture covers the following contents: - Processes and threads - Memory management - Deadlocks, Livelocks, Monitor, Semaphore - File systems - Input and output - Virtualisation - IT-Security - Unix, Linux - WindowsAssessment methodsFinal examTeaching methodsStudents' presentations, exercises, lecture presentationLanguageGerman36IT Concepts ILVIT Concepts ILVLector: FH-Prof. DI Thomas Fischer, Halil Ibrahim Pamuk2SWS4ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Um den Aufbau und die Arbeitsweise aktueller Computersysteme zu verstehen wird in dieser LV ein Bottom-Up Ansatz verfolgt. Beginnend mit den Bits und Bytes werden aus den logischen Grundfunktionen komplexere Komponenten zusammengesetzt. Insbesondere das Verständnis über den Aufbau eines Mikroprozessors und das Zusammenwirken mit dem Bussystem, dem Programm- und dem Datenspeicher werden mit integrierten praktischen Übungen erlernt. Die LV deckt insbesondere die folgenden Inhalte ab: - Digitaltechnik (boolsche Algebra, Gatter, Flipflop, Register, Zahlensysteme) - State-Maschine (Zustandsgraphen, Schaltwerke) - Rechnerarchitekturen (Computergrundstrukturen, von Neumann - Architektur)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag und praktische Übungen (auf Papier, am PC, im Labor)LanguageGerman24Mathematics 1 UEMathematics 1 UELector: Dr. Christian Steineder1.5SWS3ECTSLecture contents- Arithmetics: number ranges, complex numbers (forms of representation and arithmetic operations). - Foundations of Discrete Mathematics, Algebra and Number Theory. - Linear Algebra: calculation with vectors, matrices and determinants. Solution methods for linear systems of equations. - Analysis: Sequences and Rows, Functions: Continuity, Differentiation and Integration.Assessment methodsFinal examTeaching methodsExercises supporting the contents of the lecture, consolidation of the concepts from the lecture and application of the methods taught in the lecture to problems in theory and practice.LanguageGerman1.53Mathematics 1 VOMathematics 1 VOLector: Dr. Christian Steineder1.5SWS2ECTSLecture contents- Arithmetics: number ranges, complex numbers (forms of representation and arithmetic operations). - Foundations of Discrete Mathematics, Algebra and Number Theory. - Linear Algebra: calculation with vectors, matrices and determinants. Solution methods for linear systems of equations. - Analysis: Sequences and Rows, Functions: Continuity, Differentiation and Integration.Assessment methodsFinal examTeaching methodsLectureLanguageGerman1.52Networking Technologies 1 ILVNetworking Technologies 1 ILVLector: Ing. Stefan Schmitzhofer, BSc, Joyce Flynt Visne, B.Mus., BSc, MSc2SWS5ECTSLecture contentsNetworks are important foundations for communication and for computer science. Whether one is working at a hardware level with embedded systems, on a user interface with web applications, or at a level in between with middleware, the network is an integral part of the work, the system, and the product, and a good understanding of how a network works and of its protocols is important. In this course, students will explore the lowest layers of networks and learn how they work. The course covers the following topics: - Network protocols, models and layers (TCP/IP, OSI) - Overview of L1 - Detailed insight into L2 tasks and functions - Ethernet - L2 switching, Spanning Tree Protocol, VLANs - Physical and logical addressing - ARP, IP, ICMP - Configuration of switches, VLANs - Observation of STP - Protocol analysis at L2 and L3Assessment methodsFinal exam Work done in teams; final examTeaching methodsHands-on exercises with network devices, a protocol analyzer, simulations; Cisco Networking Academy online learning platform; lectures.LanguageEnglish25Programming 1 ILVProgramming 1 ILVLector: Dipl.-Ing. Dr.techn. Jürgen Falb, Leon Freudenthaler, BSc MSc, Mag. Dr. Michael Strommer4SWS8ECTSLecture contentsThe course provides basic concepts of object-oriented programming using the programming language Java. Concepts of programming languages ​​such as control structures, elementary data types, data structures, classes, objects, and methods are taught. Furthermore, the design of programs, as well as their analysis and techniques for debugging, tracing and testing is included. Working in small groups on a project promotes teamwork and self-organization. The LV covers in particular the following contents: - Basics of programming - Variables and data types - operators - control structures - Error Handling - Basics of object orientation - inheritance - polymorphism - Abstract classes - interfaces - Data Structures and GenericsAssessment methodsModule examTeaching methodsShort impulse lectures, immediate applicaton of the gained knowledge in practical exercises, group work, presentations, learning diariesLanguageGerman48Team Work ILVTeam Work ILVLector: Dipl.-Ing. (FH) Sven Schweiger, Dipl.-Ing. (FH) Johannes Wirgler2SWS2ECTSLecture contentsBasics - Software projects require teamwork: teams & IT project process models, teams & modern software development processes - Indicators and success criteria of teamwork Team development - Phase Models & Team Roles - Personality structures & personal development potential - Team culture, team rules & goal agreements - Give feedback and accept feedback, retrospective - Change & emotions - Communication & Information: Solutions from the classic and agile software project world - Leadership in the "IT world"; Generation Y, Z, Alpha & Co? Problems and disruptions in teams - Conflicts, conflict discussions and solution strategies - Intervention techniques and group mediation: what to do when it crackles? - Psychological Safety; KPIs and measurement of "team quality"Assessment methodsModule examTeaching methodsTheory lecture blocks including ScreenCasts (short videos). Practical exercises with role games or case studies. Networking with the software projects of the LV programming 1 in order to be able to apply the lessons learned from the LV teamwork in these projects.LanguageGerman22 2. Semesters LectureSWSECTSAlgorithms & Data structures ILVAlgorithms & Data structures ILVLector: Dipl.-Ing. Dr.techn. Jürgen Falb, Dipl.-Ing. Branislav Miskovic, FH-Prof. Dipl.-Ing. Herbert Paulis, Mag. Dr. Michael Strommer4SWS6ECTSLecture contents(ONLY IN GERMAN - 26.06.2018) Die LV befasst sich mit Algorithmen und Datenstrukturen. Im Vortragsteil wird ausschließlich Pseudocode zur Darstellung der Algorithmen, um deren Allgemeingültigkeit auszudrücken, verwendet. Im praktischen Teil der LV wird das Verständnis der wichtigsten Algorithmen und Datenstrukturen durch deren Implementierung in C und C++ vertieft. Gleichzeitig werden so auch die Programmierkenntnisse weiter gefestigt und das Verständnis für bestehende Bibliotheken geschärft. Die LV deckt insbesondere die folgenden Inhalte ab: - Rekursion - O Notation - Klassen von Algorithmen (Divide & Conquer, Brute-Force, Greedy, etc.) - Listen - Hash Tabellen - Baumstrukturen - Heaps - Graphen - Sortieralgorithmen (Selection Sort, Quick Sort, etc.) - Suchalgorithmen (lineare Suche, binäre Suche, binäre und ausgeglichene Suchbäume) - Algorithmen zur Textsuche (Brute-Force, Knuth-Morris-Pratt, Boyer-Moore, Pattern Matching) - Graphenalgorithmen (Tiefensuche, Breitensuche, kürzeste Wege, maximaler Durchfluss)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vorträge, praktische Übungen, Kleingruppenarbeit, Präsentationen, LerntagebücherLanguageGerman46Mathematics 2 UEMathematics 2 UELector: Dr. Christian Steineder1.5SWS3ECTSLecture contents- Further topics of linear algebra: vector spaces, function spaces of periodic functions, orthogonality, eigenvalues ​​and eigenvectors. Linear combination of vectors, orthogonality of vectors. - Graph theory: Directed and undirected graphs, Euler graphs, Hamilton graphs, networks. - Applications of Number Theory - Modular Arithmetic. - Stochastics: Probability Theory, Conditional Probabilities, Stochastic Processes, Markov Chains. - Algorithms: FFT algorithm, Page-Rank algorithm.Assessment methodsFinal examTeaching methodsExercises supporting the contents of the lecture, consolidation of the concepts from the lecture and application of the methods taught in the lecture to problems in theory and practice.LanguageGerman1.53Mathematics 2 VOMathematics 2 VOLector: Dr. Christian Steineder1.5SWS2ECTSLecture contents- Further topics of linear algebra: vector spaces, function spaces of periodic functions, orthogonality, eigenvalues ​​and eigenvectors. Linear combination of vectors, orthogonality of vectors. - Graph theory: Directed and undirected graphs, Euler graphs, Hamilton graphs, networks. - Applications of Number Theory - Modular Arithmetic. - Stochastics: Probability Theory, Conditional Probabilities, Stochastic Processes, Markov Chains. - Algorithms: FFT algorithm, Page-Rank algorithm.Assessment methodsFinal examTeaching methodsLectureLanguageGerman1.52Networking Technologies 2 ILVNetworking Technologies 2 ILVLector: Ing. Stefan Schmitzhofer, BSc, Joyce Flynt Visne, B.Mus., BSc, MSc2SWS5ECTSLecture contentsThe main focus of this course is on internetworking. Building on the introduction to the lower network layers in "Networking Technologies 1," the emphasis here is on the middle layers (OSI L3-L4). The course includes the following content: - Continuation of IPv4; IPv6 - Connectivity without routing; routing fundamentals - Static routing - Distance-vector dynamic routing; RIP - Link-state dynamic routing; OSPF - OSI L4 (Transport Layer); TCP, UDP - DHCP - NATAssessment methodsFinal exam Work done in teams; final examTeaching methodsPractical exercises using network devices, a protocol analyzer, simulations; Cisco Networking Academy online learning platform; lecturesLanguageEnglish25Professional Presentations ILVProfessional Presentations ILVLector: Mag. Dr. Elfriede Anna Stanka2SWS4ECTSLecture contentsProfessional Presentations (LV) will successfully prepare the students for their future jobs so that they are able to communicate scientific ideas in a professional way. Thus, this course covers the following aspects: - Presentation techniques and methods (single and team presentations) - Planning and preparing effective presentations that engage the audience - Rhetoric, facial expressions and body language - Hosting presentations and Q&A sessions as well as giving feedback - Utilizing and analyzing scientific literatureAssessment methodsModule examTeaching methodsInteractive group work, role plays, oral presentationsLanguageEnglish24Programming 2 ILVProgramming 2 ILVLector: Leon Freudenthaler, BSc MSc, Dipl.-Ing. Branislav Miskovic2SWS4ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Aufbauend auf die Inhalte von Programmieren 1 werden in der ILV Programmieren 2 vertiefende Konzepte der Programmierung mit Java vorgetragen. Dabei liegt der Fokus auf eine gute Strukturierung des Programmes, die auch auf die Design Patterns aufbaut und mit dem Ziel eine saubere objektorientiete Lösung für eine Aufgabenstellung zu entwicklen. Weiters wird auf vertiefende Konzepte in der Programmierung eingegangen die das Erstellen eines Programmes einfacher machen und den aktuellen Stand der Programmierkonzepte darstellen. Die LV deckt insbesondere die folgenden Inhalte ab: - Designpatterns und die Umsetzung im Code - Junit Testcases zu Methoden schreiben und die Programme modular entwicklen, damit sie testbar sind. - Erklärung der 3-Schichten Architektur und Umsetzung anhand einer praktischen Aufgabe. - Multi-Threading in Java und Umsetzung anhand einer praktischen Aufgabe - Einsatz von Java Bibliotheken und Frameworks. - Erweiterte Programmierkonzepte wie Java Streams und Lambda Expressions.Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Theorievortrag mit passenden praktischen ÜbungsteilLanguageGerman24Web Technologies ILVWeb Technologies ILVLector: Dipl.-Ing. Georg Mansky-Kummert, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Web Technologies are the technologies used for a static or dynamic presentation of content on the Web. The ILV addresses both infrastructural technologies (web servers, cloud services), content processing technologies and the technologies required for their implementation. The course covers in particular the following contents: - Historical development of the Internet - Technology and background - HTTP protocol - Rest & MVC - Creating static websites using HTML5 and CSS3 - Fundamentals in JavaScript, PHP and Frameworks - Responsive Web Design - Javascript Libraries - Security aspects of web technologiesAssessment methodsModule examTeaching methods(ONLY IN GERMAN - 28.02.2018) Präsentation von Themen durch die Studierenden, praktische Übungen, VortragLanguageEnglish36 3. Semesters LectureSWSECTSElectronics and Microcontroller ILVElectronics and Microcontroller ILVLector: FH-Prof. DI Thomas Fischer, Halil Ibrahim Pamuk3SWS5ECTSLecture contents(ONLY IN GERMAN - 02.03.2018) Mit der Vernetzung auch kleinster Mikro-Computer-Systeme dem Internet-of-Things hat der Einsatz dieser Spezialform der Embedded Systems an Bedeutung gewonnen. Die Grundlage dafür sind einfache Microcontroller welche durch elektronische Aktoren und Sensoren mit der Umwelt in Kontakt stehen. Programme mit grundlegenden Funktionen sollen in dieser Lehrveranstaltung Sensordaten einlesen und verarbeiten sowie daraus Aktoren ansteuern. Die LV deckt insbesondere die folgenden Inhalte ab: - Einfache Microcontroller Programmierung auf Basis ARM-mbed (oder Arduino) - Digital Input/Output (LEDs, Taster) – Gleichspannung, ohmscher Widerstand, Pull-up/down, Pegelanpassung - Analog Input/Output (AD/DA) - Wechselstrom (Sinus- und Rechtecksignal), Kondensator, Tiefpass - PWM, USART - Periode, Frequenz, Kondensator-Ladung, RGB-LEDs, Datenübertragung - Messungen mit dem Multimeter und dem OszilloskopAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 02.03.2018) Vortrag und praktische Übungen (im Labor)LanguageGerman35IT Security Fundamentals ILVIT Security Fundamentals ILVLector: FH-Prof. Dipl.-Ing. Manuel Koschuch, Bakk.techn., Silvia Schmidt, BSc MSc2SWS4ECTSLecture contentsThe course gives a basic overview of the technical and organizational aspects of IT security, and defines the most important terms and technologies in this context. The LV in particular covers the following contents: - Protection goals - Asymmetric and symmetric primitives (AES, RSA, ECC) and their practical applications - PKIs - TLS/HTTPS - Firewalls Fundamentals (types, possible uses, limitations) - ID(P)S Fundamentals (types, applications, limitations) - security awarenessAssessment methodsContinuous assessmentTeaching methodspractical (lab) exercises, lectureLanguageEnglish24Network Applications ILVNetwork Applications ILVLector: FH-Prof. Dipl.-Ing. Heimo Hirner, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contentsDigital networks and the applications based on them dominate all business processes and also private areas of life today. The protocols of the transport and application layers of the IP protocol stack form the basis for these network applications. User acceptance and thus the success of a network application is essentially determined by its scalability and performance, in addition to its usability. The chosen protocols and the architecture of a network application are decisive for this. The course covers the following contents in particular: - Basic concepts of network applications - Server-client, peer-to-peer and mixed architectures for network applications - Selected protocols of the transport and application layer - Implementation of network services (web, email, DNS, firewall) - Deployment of defacto industry standard applications for network services - Implementation of network applicationsAssessment methodsFinal exam Practical examination and theoretical examination.Teaching methodsLecture, practical exercises, distance learning tasksLanguageEnglish36Scientific Technical Writing SEScientific Technical Writing SELector: Prof. Priv.-Doz. DI Dr. techn. Slavisa Aleksic, Prof. Dr.-Ing. Christian-Alexander Bunge2SWS4ECTSLanguageEnglish24Software Engineering ILVSoftware Engineering ILVLector: Mag. Dipl.-Ing. Peter Gerstbach, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Sebastian Ukleja, BSc4SWS7ECTSLecture contentsThis lecture aims to explain the technical, organizational and economic aspects of software engineering. Organizational possibilities for structuring software development in the form of process models, such as waterfall model, spiral model and agile models are presented. The technical aspects of software engineering focus on the creation of object-oriented systems and their modeling. The course covers in particular the following contents: - Software Engineering Activities, - Requirements Engineering, - use cases, - high-level design - UML activity diagrams, - UML class diagrams, - UML sequence diagrams, - Software testing, - software process models and - Agile software development.Assessment methodsFinal exam Individual and group worksTeaching methodsBlended learning, guest lectures, experiental learning, coachingLanguageGerman47Telecommunications Systems VOTelecommunications Systems VOLector: Prof. Priv.-Doz. DI Dr. techn. Slavisa Aleksic, DI Mag. Richard Menedetter2SWS4ECTSLanguageEnglish24 4. Semesters LectureSWSECTSData bases UEData bases UELector: DI. Dr.techn. Dominik Ertl, Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Relationale und Objektrelationale Datenbanksysteme sind zentraler Bestandteil vieler IT-Infrastrukturen und Web-basierter Online-Services. In dieser Grundlagen-LVA wird der Entwurf solcher Systeme, das interaktive Arbeiten (SQL – Structured Query Language) und die Programmier- und Web-Anbindung solcher Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Architekturen von Datenbanksystemen - Transaktionskonzept - Entity Relationship (ER) Modell und ER-Entwurf - Relationales Modell, Datenbankentwurf und Normalformen - Datenbankimplementierung mit SQL-DDL - SQL als Abfragesprache - Datenbankprogrammierung (Überblick Persistenz und ORM) - Datenbankanbindung ans WWW - Praktische EntwurfsaufgabenAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Fernlehrunterstützung und praktisches Projekt in der Kleingruppe.LanguageGerman23Data bases VOData bases VOLector: Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Relationale und Objektrelationale Datenbanksysteme sind zentraler Bestandteil vieler IT-Infrastrukturen und Web-basierter Online-Services. In dieser Grundlagen-LVA wird der Entwurf solcher Systeme, das interaktive Arbeiten (SQL – Structured Query Language) und die Programmier- und Web-Anbindung solcher Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Architekturen von Datenbanksystemen - Transaktionskonzept - Entity Relationship (ER) Modell und ER-Entwurf - Relationales Modell, Datenbankentwurf und Normalformen - Datenbankimplementierung mit SQL-DDL - SQL als Abfragesprache - Datenbankprogrammierung (Überblick Persistenz und ORM) - Datenbankanbindung ans WWW - Praktische EntwurfsaufgabenAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag, Fernlehrunterstützung und Seminarpräsentationen.LanguageGerman23Internet of Things ILVInternet of Things ILVLector: FH-Prof. DI Thomas Fischer, FH-Prof. Dipl.-Ing. Heimo Hirner, Silvia Schmidt, BSc MSc, Sebastian Ukleja, BSc3SWS5ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Im Internet of Things (IoT) werden physische Gegenstände über digitale Netzwerke, wie das Internet, vernetzt und virtuell verfügbar gemacht. Neben der einfachen und kostensparenden Netzwerkanbindung dieser Gegenstände ist die Entwicklung von automatisierten digitalen Netzwerkdiensten, die den zusätzlichen Nutzen der Vernetzung realisieren, Ziel des IoT. Das IoT geht einher mit Begriffen wie Industrie 4.0, oder Ubiquitous Computing. Die LV deckt insbesondere die folgenden Inhalte ab: - IoT Netzwerkarchitektur und Design - Smarte Objekte - IoT Access Technologien - Applikationsprotokolle für das IoT - Datenanalyse im IoT - IoT Datenanalyse und Management - IoT in der IndustrieAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag, praktische Übungen, FernlehreaufgabenLanguageEnglish35Project management ILVProject management ILVLector: Mag. Reinhard Rader2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Projektmanagement ist die Anwendung von Wissen, Können, Werkzeugen und Techniken auf Projektaktivitäten, um Projektanforderungen zu erfüllen. Der Projektmanager hat die Aufgabe, die Erwartungen der Stakeholder an das Projekt zu erfüllen. Die LV gibt eine Einführung in die Wissensgebiete des Projektmanagements: - Integrationsmanagement - Inhalts- und Umfangsmanagement - Zeitmanagement - Kostenmanagement - Qualitätsmanagement - Personalmanagement - Kommunikationsmanagement - Risikomanagement - Beschaffungsmanagement - Projekt Stakeholder ManagementAssessment methodsModule examTeaching methods(ONLY IN GERMAN - 01.03.2018) VortragLanguageGerman23Elective Project 1 UEElective Project 1 UELector: DI Dr. techn. Mugdim Bublin, Tobias Buchberger, BSc MSc, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, Ines Kramer, BSc MSc, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS4ECTSLanguageGerman14 Elective Modules 1 (12 ECTS of your choice)LectureSWSECTSIntroduction to AI and Data Science ILVIntroduction to AI and Data Science ILVLector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder3SWS6ECTSLecture contents- Mathematical Basics of AI and Data Science- Linear Algebra - Probability Theory and Statistics - Optimization - Introduction to Artificial Intelligence- Problem Solving and Heuristic Search - Logic and Knowledge Representation - Planning, Learning and Decision Making under Uncertainty - Data Science and Machine Learning Fundamentals- Data Collection, Cleaning, Filtering - Model Building - Model Evaluation - Definition of Machine Learning and classes of Machine Learning Algorithms - Machine Learning Classifiers - Evaluation of Machine Learning AlgorithmsAssessment methodsContinuous assessment - Project work - Exercises during lectures - Final written examTeaching methods- Lecture - Group work (project) - Practical exercises - Continuous Discussion and feedbackLanguageEnglish36Microcontroller Programming ILVMicrocontroller Programming ILV3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Microcontroller oder auch Systems-on-Chip sind in einer Vielzahl von Anwendungen und Geräte enthalten, Ihr Einsatz reicht von der Ansteuerung der LEDs in Beleuchtungskörpern über unzählige Steueraufgaben bis hin zu Smartphones die jeder Mensch ständig bei sich führt. Diese Bauteile enthalten eine Vielzahl unabhängiger Komponenten welche, durch entsprechende Konfiguration, sowie die Erstellung hardwarenaher Programme, Aufgaben energiesparend übernehmen. Die LV deckt insbesondere die folgenden Inhalte ab: - ARM-Cortex M Familie, Harvard Architektur - Statischer & Dynamischer Speicher - STM32 Familie - GPIO, EXTI, NVIC - Advanced TIMER, Systick, RTC - ADC, DMA - LCD-Zeichen-DisplayAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag und praktische ÜbungenLanguageGerman36Mobile App Development ILVMobile App Development ILVLector: Leon Freudenthaler, BSc MSc, Mag. Dipl.-Ing. Peter Gerstbach, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc3SWS6ECTSLanguageEnglish36Modern Networks ILVModern Networks ILVLector: Dr. Jürgen Wolf-Hofer3SWS6ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Im Rahmen der LV wird der Entwurfsprozess der modernen Kommunikationsnetze beschrieben und an praktischen Beispielen angewendet. Angefangen mit Use Cases und der daraus abgeleiteten technischen Anforderungen, wird die Vorgehensweise erklärt, wie man Architektur und Protokolle auswählt und entwirft. Dabei wird besonders auf die Entwicklungsmethodik eingegangen, um die Studenten in der Lage zu versetzten selbstständig einen konstruktiven Beitrag zu Entwurf und Implementierung der modernen Kommunikationsnetzen zu leisten. Weiters wird Analyse, Evaluierung, Test und Wartung der Kommunikationsnetze behandelt. Als praktische Beispiele werden die modernsten Netztechnologien erläutert und diskutiert. Die LV deckt insbesondere die folgenden Inhalte ab: - Anforderungen an die moderne Kommunikationsnetzte - Entwurfsmethodik der Kommunikationsnetze - Quality of Service (QoS) und User Quality Experience (QoE) - Software Defined Network (SDN) - Network Functions Virtualization (NFV) - Cloud Computing - Internet of Things (IoT) - Kommunikationsnetze in der Industrie 4.0 - 5G Mobile Networks - Evaluierung, Test und Wartung der Kommunikationsnetze - Sicherheitsaspekte in den modernen NetzenAssessment methodsTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag, praktische Übungen, Fallstudien, Diskussion der aktuellen Literatur und StandardsLanguageEnglish36Secure Admin Tools ILVSecure Admin Tools ILVLector: FH-Prof. Dipl.-Ing. Manuel Koschuch, Bakk.techn., Silvia Schmidt, BSc MSc3SWS6ECTSLecture contentsThe course gives an overview and a practical introduction to the most important software tools of a system administrator in the context of secure networks. Students will be enabled to use these tools correctly and securely and to configure them accordingly. - VPNs - Hard disk encryption - SSH - Mail Security (PGP, S/MIME) - bash scripting - Establishment of PKIs - Introduction to penetration testingAssessment methodsContinuous assessment Short tests, exercise interviewsTeaching methodsPractical (lab)-exercises, LectureLanguageEnglish36 5. Semesters LectureSWSECTSBachelor Thesis 1 SEBachelor Thesis 1 SELector: DI Dr. techn. Mugdim Bublin, FH-Prof. DI Thomas Fischer, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS4ECTSLecture contents- Independent work on a topic from the area of Computer Science, primarily based on the technical topics of the elective modules in the 4th and 5th semesters at a scientific level under the guidance of a supervisor. - Elaboration of the bachelor thesis 1Assessment methodsFinal exam Approbation of bachelor thesisTeaching methodsImplementation of a project and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis 1 at regular intervals and put it up for discussion.LanguageGerman14Business Administration ILVBusiness Administration ILVLector: Mag. Karoline Schütz3SWS3ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Wirtschaftliches Handeln im Unternehmen umfasst im Wesentlichen die folgenden Aspekte: - Unternehmertum - Rechtlicher Rahmen - Strategie - Organisation - Mitarbeiter - Kunden/Markt - Produktion - Finanzen/Controlling Im Rahmen der Lehrveranstaltung werden diese Aspekte zunächst theoretisch erarbeitet und immer wieder mit praxirelevanten Fallbeispielen ergänzt, dabei werden insbesondere die folgenden Inhalte abgedeckt: - Das Unternehmertum in der Volkswirtschaft - Gebräuchlichste Unternehmensformen in Österreich - Unterschiedliche Organisationsformen im Unternehmen - Verschiedene Führungsstile im Unternehmen - Konzepte des Marketings - Einblick in das strategische und operative Controlling - Grundzüge des Rechnungswesens - Überblick zur Investition und FinanzierungAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag, praktische Übungen, ReferateLanguageEnglish33Distributed Systems UEDistributed Systems UELector: DI. Dr.techn. Dominik Ertl, Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Viele moderne Systeme sind verteilte Systeme: IoT (Internet of Things) wie Smart Environments (zB Smart Home, Smart Building, Smart City, …) und Industrie 4.0 (zB Digital Twin); VANETs (Vehicular Ad-Hoc Networks) und SmartCars; Critical Infrastructures und SCADA (Supervisory Control and Data Acquisition) Systems; GNS (Global Sensor Networks). In dieser Grundlagen-LVA werden die Konzepte und Paradigmen derartiger Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Eigenschaften Verteilter Systeme, Middleware - Communication (RPC, RMI, Message Passing) - Operating System Support and Code Migration - Binding, Naming and Discovery - Clocks and Agreement - Dependability: Replication and Fault Tolerance - Performance und Skalierbarkeit - Web Presentation Tier - Web Services und XML - Message-oriented Middleare und JMS - Enterprise JavaAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Fernlehrunterstützung und praktisches Projekt in der Kleingruppe.LanguageGerman23Distributed Systems VODistributed Systems VOLector: Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Viele moderne Systeme sind verteilte Systeme: IoT (Internet of Things) wie Smart Environments (zB Smart Home, Smart Building, Smart City, …) und Industrie 4.0 (zB Digital Twin); VANETs (Vehicular Ad-Hoc Networks) und SmartCars; Critical Infrastructures und SCADA (Supervisory Control and Data Acquisition) Systems; GNS (Global Sensor Networks). In dieser Grundlagen-LVA werden die Konzepte und Paradigmen derartiger Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Eigenschaften Verteilter Systeme, Middleware - Communication (RPC, RMI, Message Passing) - Operating System Support and Code Migration - Binding, Naming and Discovery - Clocks and Agreement - Dependability: Replication and Fault Tolerance - Performance und Skalierbarkeit - Web Presentation Tier - Web Services und XML - Message-oriented Middleare und JMS - Enterprise JavaAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag, Fernlehrunterstützung und Seminarpräsentationen.LanguageGerman23Elective Project 2 UEElective Project 2 UELector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc2SWS5ECTSLecture contentsStudents apply the skills acquired to complete a project in a coordinated and structured manner. project in a coordinated and structured manner. In doing so, they independently define a concrete sub-goal in the project. A well-founded theoretical approach is thus combined with practical application. Collaboration on an industrial R&D project or on current problems within the framework of the R&D activities of the UAS is possible.Assessment methodsFinal exam Practical project in small groups.Teaching methodsGroup work, practical project implementation accompanied with exercises and coaching.LanguageGerman25 Elective Modules 2 (12 ECTS of your choice)LectureSWSECTSSelected Topics in IT-Security ILVSelected Topics in IT-Security ILVLector: FH-Prof. Dipl.-Inform. Dipl.-Wirt.Inform. Matthias Peter Hudler, Silvia Schmidt, BSc MSc3SWS6ECTSLecture contentsThis lecture consists of 2 parts 1. Seminar regarding the following topics: Web Security Exploits Overflows Awareness Bot Nets Applied Security Penetration Testing Tool 2. Theoretical Computer Science Finite state machines Complexity Theory Regular Expressions Chomsky HierarchyAssessment methodsFinal exam Term paper, presentation, final examTeaching methodsLectures, inverted classroom, remote/distance learningLanguageGerman36Deep Learning – advanced AI and Data Science ILVDeep Learning – advanced AI and Data Science ILVLector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder, Sebastian Ukleja, BSc3SWS6ECTSLecture contents- Deep Learning Foundation- Motivation and basic ideas - Basic principles behind algorithms - Deep Learning Algorithms and Networks- Convolutional Neuronal Networks (CNN) - Recurrent Neural Networks (RNN) - Generative Neural Networks (GAN, Autoencoders) - Reinforcement Learning (Deep QNet) - Applications of Deep Learning and Artificial Intelligence for- Medicine, IoT, Industry 4.0, Autonomous Driving, Games etc.Assessment methodsContinuous assessment - Project work - Exercises during lectures - Final written examTeaching methods- Lecture - Group work (project) - Practical exercises - Continuous Discussion and feedbackLanguageEnglish36IoT Applications ILVIoT Applications ILVLector: FH-Prof. Dipl.-Ing. Heimo Hirner3SWS6ECTSLecture contentsThe interconnection of millions of smart objects in the Internet of Things (IoT) requires platforms and applications that enable the connection of such a large number of devices as well as provide data management and analysis tools for the resulting data volumes (big data). In this course, students learn about the architectures, technologies and tools of IoT platforms and develop and implement their own IoT applications. The course covers the following contents in particular: - SCADA applications - Open Source IoT applications - IoT application architecture and design - Data types of the IoT - Big Data Analytics Tools and Technologies - IoT Cloud & Edge Streaming Analytics Prerequisites: - Network applications - Internet of Things (IoT access technologies, IoT protocols) - IT-security basics - Linux ( hands-on)Assessment methodsFinal exam Theoretical examination Project work (individual work)Teaching methodsLecture, practical exercises, project workLanguageEnglish36Realtime Operating Systems ILVRealtime Operating Systems ILVLector: FH-Prof. DI Thomas Fischer3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Softwareentwicklung für Microcontroller aufbauend auf Echtzeitbetriebssystemen steht in Fokus dieser Lehrveranstaltung. Gute Kenntnisse über ein Betriebssystem und deren Zeitverhalten sind für viele Einsatzgebiete (Steuerungstechnik, Videoverarbeitung, Börsenhandel) notwendig. Die Integration zugekaufter Middleware und Software-Stacks zur Erstellung angepasster Kundenlösungen sowie die Integration in vorhandene Kommunikations-Infrastruktur sind die zu bewältigenden Aufgaben. Die LV deckt insbesondere die folgenden Inhalte ab: - JTAG & Trace (ARM, ST, Keil, Atollic) - Echtzeitbetriebssysteme am Beispiel FreeRTOS - Inter-Task-Kommunication - SPI, I2C, CAN, USB, Ethernet - Middleware, (USB)-Stack - Touch-Grafik-Display - Schnittstelle FreeRTOS Cloud (AWS Amazon Web Services)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Projektaufgabe und/oder SeminararbeitLanguageEnglish36Virtual and Augmented Reality ILVVirtual and Augmented Reality ILVLector: DI Dr. techn. Mugdim Bublin, Mag. art Philipp Lammer3SWS6ECTSLanguageEnglish36 6. Semesters LectureSWSECTSRing Lecture - Selected Topics ILVRing Lecture - Selected Topics ILVLector: FH-Prof. DI Thomas Fischer1SWS1ECTSLanguageEnglish11Workshop - Selected Topics SEWorkshop - Selected Topics SELector: Nuno Bettencourt, PhD, FH-Prof. DI Thomas Fischer, Dr. Ian Grout, Prof. Antonella Longo, Roland Skof-Peschetz, B.A. (hons), Prof. Dr. Peter Trommler, Dipl-Inf (Univ.), Erika Wood, BA1SWS2ECTSLanguageEnglish12Bachelor Thesis 2 SEBachelor Thesis 2 SELector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS6ECTSLanguageGerman16Bachelor Exam APBachelor Exam AP0SWS2ECTSLanguageGerman02Internship PRInternship PRLector: Bernhard Taufner, BSc, MSc1SWS12ECTSLanguageGerman112IT Process and Quality Management ILVIT Process and Quality Management ILVLector: Mag. Anton Six2SWS4ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Das Software-Qualitätsmanagement befasst sich mit der Planung, Lenkung und Prüfung der Qualität von Softwareprodukten und -entwicklungsprozessen. Es beinhaltet sowohl Führungsaufgaben zur Festlegung der Qualitätspolitik, der Qualitätsziele und der Verantwortung für Qualität, wie auch Maßnahmen zur Erfüllung vorgegebener Qualitätsanforderungen an Softwareprodukte und -prozesse. Ein sinnvolles Prozessmanagement besteht nun darin, sicherzustellen, dass ein Prozess wirksam das erwünschte Ziel erreicht (Effektivität) und die notwendigen Aktivitäten den minimal erforderlichen Aufwand erfordern (Effizienz). Die LV deckt insbesondere die folgenden Inhalte ab: - Grundbegriffe "Qualität", "Qualitätssicherung" und "Qualitätsmanagement". - Qualitätsplanung - Qualitätsanforderungen (nicht funktionale Anforderungen) - Qualitätslenkung und Qualitätsprüfung - Maßnahmen des produktorientierten Qualitätsmanagements - Maßnahmen des prozessorientierten Qualitätsmanagements - Zusammenhang Fehlerkosten (Fehlerfolgekosten und Fehlerbehebungskosten) und den gegenläufigen Fehlerverhütungskosten (Prüfkosten und Kosten von präventiven Maßnahmen) - Grundlagen Prozessmanagement - Einführung IT Service Management - IT Frameworks (ITIL, COBIT, MOF, MSF) - IT Normen und Standards - Umsetzung von Best Practices - FallbeispielAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag mit Case Studies, Ausarbeitung im Rahmen der Fernlehre, Diskussion im PlenumLanguageGerman24IT law VOIT law VOLector: Mag. Michael Cepic, BSc, Mag. Paul Eberstaller, Mag. Lukas Faymann, Univ.-Ass. Mag. Ziga Škorjanc, Mag. Marie-Catherine Wagner, BSc. (WU), Mag. iur. Felix Zopf2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Die Lehrveranstaltung soll grundlegende Rechtsfragen aus den Bereichen IT/IP-Recht, mit Schwerpunkten im Urheberrecht, Datenschutzrecht und E-Commerce-Recht, abdecken. Studierende sollen nach erfolgreicher Absolvierung der Lehrveranstaltung in der Lage sein, gängige rechtliche Sachverhalte zu erkennen und einzuordnen. Die Lehrveranstaltung beinhaltet insbesondere folgende Inhalte: - Datenschutz und die wesentlichen Inhalte der EU-Datenschutz-Grundverordnung - Marken- und Domainrecht - Grundlegende Rechtsfragen des Vertragsrechts im Internet - Verbraucherschutz im Fernabsatz - Informationspflichten - Grundlagen des Urheberrechts - Grenzüberschreitende Sachverhalte im Geschäftsverkehr im Internet - Providerhaftung - Cybersecurity und CybercrimeAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag mit Diskussion Selbständige Vorbereitung auf die nächste LehreinheitLanguageGerman23*The list of elective modules is not exhaustive and is subject to change. The elective modules require a certain number of participants.Number of teaching weeks18 per semester TimesMon to Thu, 8.00 a.m.-5.15 p.m.Elective Selection and participation according to available places. There may be separate selection procedures.Language of instruction German (at least one third of lectures are in English) How you benefit At the point where data processing and data transmission intersect, there is a wealth of opportunity in software companies, the Internet of Things (smart city, smart home, Industry 4.0 and eHealth), the computer gaming and entertainment industry, banks and insurance firms (where the focus is on data security), telecom and mobile phone companies, network operators and internet service providers; it is also possible to start up as a mobile app designer. Most graduates begin as project team members, and there are good prospects of securing a managerial position with several year’s vocational experience. Software analyst, designer and developerNetwork architectIT and network administratorIT project managerSolution architectDeveloper of mobile appsSystem developer and consultantHardware developerIT consultant Master's degree programs Electronic Systems Engineering Master, part-timemoreHealth Assisting Engineering Master, part-timemoreIT-Security Master, part-timemoreTechnical Management Master, part-timemoreSafety and Systems Engineering Master, part-timemoreSoftware Design and Engineering Master, part-timemore Admission Admission requirements General higher education entrance qualification: University entrance qualification or degree from a general or vocational secondary schoolUniversity entrance exam (Berufsreifeprüfung)Equivalent certification from abroad Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section.University entrance exam (Studienberechtigungsprüfung) for Electrical Engineering or Computer Science The specific university entrance exam in this field comprises qualifications in "Mathematics 3", "Physics 1" and "English 1". Information and institutes offering courses in preparation for the university entrance exam (Studienberechtigungsprüfung) can be found on the portal Erwachsenenbildung.at of the Federal Ministry of Education, Science and ResearchErwachsenenbildung.atAustrian Federal Ministry of Education, Science and ResearchRelevant professional qualification with auxiliary exams Professional qualifications of apprenticeship groups in electrical disciplines or qualifications from a technical college may exempt you from a physics exam.Regulation for the admission of third country citizens (PDF 224 KB)Information for applicants with non-Austrian (school) certificates (PDF 145 KB) Application To apply you will require the following documents:Birth certificateProof of citizenshipSchool leaving certificate / university entrance qualification exam (Studienberechtigungsprüfung) / verification of professional qualificationsCV in table formPlease note: It is not possible to save incomplete online applications. You must complete your application in one session. Your application will be valid as soon as you upload all of the required documents and certificates. In the event that some documents (e.g. certificates) are not available at the time you apply, you may submit these later via e-mail, mail or in person by no later than the start of the degree program. Admission procedure The admission procedure for the academic year 2022/23 includes a written test and an interview with the admission committee. You will receive the date for the admission procedure from the secretary's office.Goal The goal is to offer a study place to those individuals that complete the multi-stage admission procedure with the best results. The test procedures are based on the skills required for the desired profession.Procedure The written entrance test includes a series of test requirements and tests your reasoning ability and basic knowledge of mathematics, logic, deduction, and English (text comprehension). In the interview, you will answer some basic subject-specific questions, some questions about yourself, and explain your motivation for choosing the program (duration of the interview per applicant*: approx. 15 minutes). If you have not yet reached the required entry level for the study program, you will receive recommendations after the admission procedure on how to best prepare yourself subject-specifically.Criteria Admission criteria are based solely on performance. You will receive points for your written test scores and interview. This results in the ranking of the candidates*. Geographical assignments of the applicants have no influence on the admission. The admission requirements must be met. The entire process as well as all test results and evaluations of the admission procedure are documented and archived in a traceable manner. Studying with disabilities If you have any questions regarding accessibility or if you have a specific need in the admission procedure due to an impairment, please contact Ursula Weilenmann for organizational reasons as early as possible at barrierefrei@fh-campuswien.ac.at.Since we try to take into account individual needs due to disabilities when conducting the written admission test, we ask you to indicate in your online application to Weilenmann in which form you require support.Your contact person in the department Gender & Diversity ManagementMag.a Ursula Weilenmannbarrierefrei@fh-campuswien.ac.athttp://www.fh-campuswien.ac.at/barrierefrei FiT pre-qualification for womenWithin the framework of the FIT program, the AMS (Public Employment Service Austria) promotes women by pre-qualifying them for technical fields of study. Interested women may complete these courses at the FH Campus Wien. Other info Getting Started Buddy network Experience shows that many questions arise during the application phase and the start of the degree program. We therefore propose that interested persons and applicants should network with higher semester students in the same degree program as yours. Personal and individual contact with your buddy should facilitate your entry into the degree program. To the Buddy network How are existing qualifications taken into consideration? In the case of students with relevant prior experience – such as higher technical college graduates and those who prematurely leave higher education courses – we count that experience against individual course units; demonstrably verified study must correspond to the relevant unit. The head of the degree program decides on allowances for prior study at the start of a semester. For more information, please refer to the sections on validation and shortening programs. Contact > FH-Prof. DI Dr. Igor Miladinovic Head of Degree Program Computer Science and Digital Communications, Information Technologies and Telecommunication T: +43 1 606 68 77-2131igor.miladinovic@fh-campuswien.ac.at Secretary's office Mag.a Marion BozsingMarina PaukovitsMelanie PaukovitsFavoritenstraße 226, B.3.20 1100 Wien T: +43 1 606 68 77-2130 F: +43 1 606 68 77-2139 informatik@fh-campuswien.ac.atMap main campus Favoriten (Google Maps)Office hours during semester Mon, 8.00 a.m.-12.00 p.m. and 1.30 p.m-5.45 p.m. Tue, 1.30 p.m-7.30 p.m. Wed, 9.00 a.m.-12.00 p.m. and 1.30 p.m-5.45 p.m. Thu, 8.00 a.m.-12.00 p.m.Until further notice the opening hours are not valid. Please make an appointment in advance by phone or e-mail, should personal contact in the secretary's office be necessary. Teaching staff and research staff > Dr. Christa Blecha Academic Staff> DI Dr. techn. Mugdim Bublin Academic Staff, Stadt Wien Endowed Professorship for Artificial Intelligence> FH-Prof. DI Thomas Fischer Academic Staff> Leon Freudenthaler, BSc MSc Research Staff> FH-Prof. Dipl.-Ing. Heimo Hirner Academic Staff> FH-Prof. Dipl.-Ing. Manuel Koschuch, Bakk.techn. Competence Center for IT-Security, Academic Staff> Dipl.-Ing. Georg Mansky-Kummert Academic Staff> Dipl.-Ing. Branislav Miskovic Academic Staff> FH-Prof. Mag. Dr. Sigrid Schefer-Wenzl, MSc BSc Academic Staff> Silvia Schmidt, BSc MSc Competence Center for IT-Security, Academic Staff> Ing. Stefan Schmitzhofer, BSc Research Staff> Károly Szabó, MSc Junior Researcher> Bernhard Taufner, BSc, MSc Research Staff> Sebastian Ukleja, BSc Junior Researcher Cooperations and Campusnetzwerk We work closely with renowned companies in commerce and industry, with universities, institutions and schools. This guarantees you contacts for internships, employment or participation in research and development. In the course of exciting school cooperations, students may contribute to firing up pupils on topics such as our Bionics Project with the Festo company. You can find information about our cooperation activities and much more at Campusnetzwerk. It's well worth visiting the site as it may direct you to a new job or interesting event held by our cooperation partners. Campusnetzwerk
1. Semesters LectureSWSECTSOperating Systems ILVOperating Systems ILVLector: Dr. Loay Alzubaidi, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contentsBasic concepts of operating systems are presented. The lecture explains how processes and threads interact in an operating system. For the practical application of the theoretical concepts, the exercises are provided, which mainly use Linux operating systems. The concepts are illustrated by means of programming examples. Deadlocks are identified and resolved. The operating systems are used in a virtual environment. In particular the lecture covers the following contents: - Processes and threads - Memory management - Deadlocks, Livelocks, Monitor, Semaphore - File systems - Input and output - Virtualisation - IT-Security - Unix, Linux - WindowsAssessment methodsFinal examTeaching methodsStudents' presentations, exercises, lecture presentationLanguageGerman36IT Concepts ILVIT Concepts ILVLector: FH-Prof. DI Thomas Fischer, Halil Ibrahim Pamuk2SWS4ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Um den Aufbau und die Arbeitsweise aktueller Computersysteme zu verstehen wird in dieser LV ein Bottom-Up Ansatz verfolgt. Beginnend mit den Bits und Bytes werden aus den logischen Grundfunktionen komplexere Komponenten zusammengesetzt. Insbesondere das Verständnis über den Aufbau eines Mikroprozessors und das Zusammenwirken mit dem Bussystem, dem Programm- und dem Datenspeicher werden mit integrierten praktischen Übungen erlernt. Die LV deckt insbesondere die folgenden Inhalte ab: - Digitaltechnik (boolsche Algebra, Gatter, Flipflop, Register, Zahlensysteme) - State-Maschine (Zustandsgraphen, Schaltwerke) - Rechnerarchitekturen (Computergrundstrukturen, von Neumann - Architektur)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag und praktische Übungen (auf Papier, am PC, im Labor)LanguageGerman24Mathematics 1 UEMathematics 1 UELector: Dr. Christian Steineder1.5SWS3ECTSLecture contents- Arithmetics: number ranges, complex numbers (forms of representation and arithmetic operations). - Foundations of Discrete Mathematics, Algebra and Number Theory. - Linear Algebra: calculation with vectors, matrices and determinants. Solution methods for linear systems of equations. - Analysis: Sequences and Rows, Functions: Continuity, Differentiation and Integration.Assessment methodsFinal examTeaching methodsExercises supporting the contents of the lecture, consolidation of the concepts from the lecture and application of the methods taught in the lecture to problems in theory and practice.LanguageGerman1.53Mathematics 1 VOMathematics 1 VOLector: Dr. Christian Steineder1.5SWS2ECTSLecture contents- Arithmetics: number ranges, complex numbers (forms of representation and arithmetic operations). - Foundations of Discrete Mathematics, Algebra and Number Theory. - Linear Algebra: calculation with vectors, matrices and determinants. Solution methods for linear systems of equations. - Analysis: Sequences and Rows, Functions: Continuity, Differentiation and Integration.Assessment methodsFinal examTeaching methodsLectureLanguageGerman1.52Networking Technologies 1 ILVNetworking Technologies 1 ILVLector: Ing. Stefan Schmitzhofer, BSc, Joyce Flynt Visne, B.Mus., BSc, MSc2SWS5ECTSLecture contentsNetworks are important foundations for communication and for computer science. Whether one is working at a hardware level with embedded systems, on a user interface with web applications, or at a level in between with middleware, the network is an integral part of the work, the system, and the product, and a good understanding of how a network works and of its protocols is important. In this course, students will explore the lowest layers of networks and learn how they work. The course covers the following topics: - Network protocols, models and layers (TCP/IP, OSI) - Overview of L1 - Detailed insight into L2 tasks and functions - Ethernet - L2 switching, Spanning Tree Protocol, VLANs - Physical and logical addressing - ARP, IP, ICMP - Configuration of switches, VLANs - Observation of STP - Protocol analysis at L2 and L3Assessment methodsFinal exam Work done in teams; final examTeaching methodsHands-on exercises with network devices, a protocol analyzer, simulations; Cisco Networking Academy online learning platform; lectures.LanguageEnglish25Programming 1 ILVProgramming 1 ILVLector: Dipl.-Ing. Dr.techn. Jürgen Falb, Leon Freudenthaler, BSc MSc, Mag. Dr. Michael Strommer4SWS8ECTSLecture contentsThe course provides basic concepts of object-oriented programming using the programming language Java. Concepts of programming languages ​​such as control structures, elementary data types, data structures, classes, objects, and methods are taught. Furthermore, the design of programs, as well as their analysis and techniques for debugging, tracing and testing is included. Working in small groups on a project promotes teamwork and self-organization. The LV covers in particular the following contents: - Basics of programming - Variables and data types - operators - control structures - Error Handling - Basics of object orientation - inheritance - polymorphism - Abstract classes - interfaces - Data Structures and GenericsAssessment methodsModule examTeaching methodsShort impulse lectures, immediate applicaton of the gained knowledge in practical exercises, group work, presentations, learning diariesLanguageGerman48Team Work ILVTeam Work ILVLector: Dipl.-Ing. (FH) Sven Schweiger, Dipl.-Ing. (FH) Johannes Wirgler2SWS2ECTSLecture contentsBasics - Software projects require teamwork: teams & IT project process models, teams & modern software development processes - Indicators and success criteria of teamwork Team development - Phase Models & Team Roles - Personality structures & personal development potential - Team culture, team rules & goal agreements - Give feedback and accept feedback, retrospective - Change & emotions - Communication & Information: Solutions from the classic and agile software project world - Leadership in the "IT world"; Generation Y, Z, Alpha & Co? Problems and disruptions in teams - Conflicts, conflict discussions and solution strategies - Intervention techniques and group mediation: what to do when it crackles? - Psychological Safety; KPIs and measurement of "team quality"Assessment methodsModule examTeaching methodsTheory lecture blocks including ScreenCasts (short videos). Practical exercises with role games or case studies. Networking with the software projects of the LV programming 1 in order to be able to apply the lessons learned from the LV teamwork in these projects.LanguageGerman22
2. Semesters LectureSWSECTSAlgorithms & Data structures ILVAlgorithms & Data structures ILVLector: Dipl.-Ing. Dr.techn. Jürgen Falb, Dipl.-Ing. Branislav Miskovic, FH-Prof. Dipl.-Ing. Herbert Paulis, Mag. Dr. Michael Strommer4SWS6ECTSLecture contents(ONLY IN GERMAN - 26.06.2018) Die LV befasst sich mit Algorithmen und Datenstrukturen. Im Vortragsteil wird ausschließlich Pseudocode zur Darstellung der Algorithmen, um deren Allgemeingültigkeit auszudrücken, verwendet. Im praktischen Teil der LV wird das Verständnis der wichtigsten Algorithmen und Datenstrukturen durch deren Implementierung in C und C++ vertieft. Gleichzeitig werden so auch die Programmierkenntnisse weiter gefestigt und das Verständnis für bestehende Bibliotheken geschärft. Die LV deckt insbesondere die folgenden Inhalte ab: - Rekursion - O Notation - Klassen von Algorithmen (Divide & Conquer, Brute-Force, Greedy, etc.) - Listen - Hash Tabellen - Baumstrukturen - Heaps - Graphen - Sortieralgorithmen (Selection Sort, Quick Sort, etc.) - Suchalgorithmen (lineare Suche, binäre Suche, binäre und ausgeglichene Suchbäume) - Algorithmen zur Textsuche (Brute-Force, Knuth-Morris-Pratt, Boyer-Moore, Pattern Matching) - Graphenalgorithmen (Tiefensuche, Breitensuche, kürzeste Wege, maximaler Durchfluss)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vorträge, praktische Übungen, Kleingruppenarbeit, Präsentationen, LerntagebücherLanguageGerman46Mathematics 2 UEMathematics 2 UELector: Dr. Christian Steineder1.5SWS3ECTSLecture contents- Further topics of linear algebra: vector spaces, function spaces of periodic functions, orthogonality, eigenvalues ​​and eigenvectors. Linear combination of vectors, orthogonality of vectors. - Graph theory: Directed and undirected graphs, Euler graphs, Hamilton graphs, networks. - Applications of Number Theory - Modular Arithmetic. - Stochastics: Probability Theory, Conditional Probabilities, Stochastic Processes, Markov Chains. - Algorithms: FFT algorithm, Page-Rank algorithm.Assessment methodsFinal examTeaching methodsExercises supporting the contents of the lecture, consolidation of the concepts from the lecture and application of the methods taught in the lecture to problems in theory and practice.LanguageGerman1.53Mathematics 2 VOMathematics 2 VOLector: Dr. Christian Steineder1.5SWS2ECTSLecture contents- Further topics of linear algebra: vector spaces, function spaces of periodic functions, orthogonality, eigenvalues ​​and eigenvectors. Linear combination of vectors, orthogonality of vectors. - Graph theory: Directed and undirected graphs, Euler graphs, Hamilton graphs, networks. - Applications of Number Theory - Modular Arithmetic. - Stochastics: Probability Theory, Conditional Probabilities, Stochastic Processes, Markov Chains. - Algorithms: FFT algorithm, Page-Rank algorithm.Assessment methodsFinal examTeaching methodsLectureLanguageGerman1.52Networking Technologies 2 ILVNetworking Technologies 2 ILVLector: Ing. Stefan Schmitzhofer, BSc, Joyce Flynt Visne, B.Mus., BSc, MSc2SWS5ECTSLecture contentsThe main focus of this course is on internetworking. Building on the introduction to the lower network layers in "Networking Technologies 1," the emphasis here is on the middle layers (OSI L3-L4). The course includes the following content: - Continuation of IPv4; IPv6 - Connectivity without routing; routing fundamentals - Static routing - Distance-vector dynamic routing; RIP - Link-state dynamic routing; OSPF - OSI L4 (Transport Layer); TCP, UDP - DHCP - NATAssessment methodsFinal exam Work done in teams; final examTeaching methodsPractical exercises using network devices, a protocol analyzer, simulations; Cisco Networking Academy online learning platform; lecturesLanguageEnglish25Professional Presentations ILVProfessional Presentations ILVLector: Mag. Dr. Elfriede Anna Stanka2SWS4ECTSLecture contentsProfessional Presentations (LV) will successfully prepare the students for their future jobs so that they are able to communicate scientific ideas in a professional way. Thus, this course covers the following aspects: - Presentation techniques and methods (single and team presentations) - Planning and preparing effective presentations that engage the audience - Rhetoric, facial expressions and body language - Hosting presentations and Q&A sessions as well as giving feedback - Utilizing and analyzing scientific literatureAssessment methodsModule examTeaching methodsInteractive group work, role plays, oral presentationsLanguageEnglish24Programming 2 ILVProgramming 2 ILVLector: Leon Freudenthaler, BSc MSc, Dipl.-Ing. Branislav Miskovic2SWS4ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Aufbauend auf die Inhalte von Programmieren 1 werden in der ILV Programmieren 2 vertiefende Konzepte der Programmierung mit Java vorgetragen. Dabei liegt der Fokus auf eine gute Strukturierung des Programmes, die auch auf die Design Patterns aufbaut und mit dem Ziel eine saubere objektorientiete Lösung für eine Aufgabenstellung zu entwicklen. Weiters wird auf vertiefende Konzepte in der Programmierung eingegangen die das Erstellen eines Programmes einfacher machen und den aktuellen Stand der Programmierkonzepte darstellen. Die LV deckt insbesondere die folgenden Inhalte ab: - Designpatterns und die Umsetzung im Code - Junit Testcases zu Methoden schreiben und die Programme modular entwicklen, damit sie testbar sind. - Erklärung der 3-Schichten Architektur und Umsetzung anhand einer praktischen Aufgabe. - Multi-Threading in Java und Umsetzung anhand einer praktischen Aufgabe - Einsatz von Java Bibliotheken und Frameworks. - Erweiterte Programmierkonzepte wie Java Streams und Lambda Expressions.Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Theorievortrag mit passenden praktischen ÜbungsteilLanguageGerman24Web Technologies ILVWeb Technologies ILVLector: Dipl.-Ing. Georg Mansky-Kummert, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Web Technologies are the technologies used for a static or dynamic presentation of content on the Web. The ILV addresses both infrastructural technologies (web servers, cloud services), content processing technologies and the technologies required for their implementation. The course covers in particular the following contents: - Historical development of the Internet - Technology and background - HTTP protocol - Rest & MVC - Creating static websites using HTML5 and CSS3 - Fundamentals in JavaScript, PHP and Frameworks - Responsive Web Design - Javascript Libraries - Security aspects of web technologiesAssessment methodsModule examTeaching methods(ONLY IN GERMAN - 28.02.2018) Präsentation von Themen durch die Studierenden, praktische Übungen, VortragLanguageEnglish36
3. Semesters LectureSWSECTSElectronics and Microcontroller ILVElectronics and Microcontroller ILVLector: FH-Prof. DI Thomas Fischer, Halil Ibrahim Pamuk3SWS5ECTSLecture contents(ONLY IN GERMAN - 02.03.2018) Mit der Vernetzung auch kleinster Mikro-Computer-Systeme dem Internet-of-Things hat der Einsatz dieser Spezialform der Embedded Systems an Bedeutung gewonnen. Die Grundlage dafür sind einfache Microcontroller welche durch elektronische Aktoren und Sensoren mit der Umwelt in Kontakt stehen. Programme mit grundlegenden Funktionen sollen in dieser Lehrveranstaltung Sensordaten einlesen und verarbeiten sowie daraus Aktoren ansteuern. Die LV deckt insbesondere die folgenden Inhalte ab: - Einfache Microcontroller Programmierung auf Basis ARM-mbed (oder Arduino) - Digital Input/Output (LEDs, Taster) – Gleichspannung, ohmscher Widerstand, Pull-up/down, Pegelanpassung - Analog Input/Output (AD/DA) - Wechselstrom (Sinus- und Rechtecksignal), Kondensator, Tiefpass - PWM, USART - Periode, Frequenz, Kondensator-Ladung, RGB-LEDs, Datenübertragung - Messungen mit dem Multimeter und dem OszilloskopAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 02.03.2018) Vortrag und praktische Übungen (im Labor)LanguageGerman35IT Security Fundamentals ILVIT Security Fundamentals ILVLector: FH-Prof. Dipl.-Ing. Manuel Koschuch, Bakk.techn., Silvia Schmidt, BSc MSc2SWS4ECTSLecture contentsThe course gives a basic overview of the technical and organizational aspects of IT security, and defines the most important terms and technologies in this context. The LV in particular covers the following contents: - Protection goals - Asymmetric and symmetric primitives (AES, RSA, ECC) and their practical applications - PKIs - TLS/HTTPS - Firewalls Fundamentals (types, possible uses, limitations) - ID(P)S Fundamentals (types, applications, limitations) - security awarenessAssessment methodsContinuous assessmentTeaching methodspractical (lab) exercises, lectureLanguageEnglish24Network Applications ILVNetwork Applications ILVLector: FH-Prof. Dipl.-Ing. Heimo Hirner, Bernhard Taufner, BSc, MSc3SWS6ECTSLecture contentsDigital networks and the applications based on them dominate all business processes and also private areas of life today. The protocols of the transport and application layers of the IP protocol stack form the basis for these network applications. User acceptance and thus the success of a network application is essentially determined by its scalability and performance, in addition to its usability. The chosen protocols and the architecture of a network application are decisive for this. The course covers the following contents in particular: - Basic concepts of network applications - Server-client, peer-to-peer and mixed architectures for network applications - Selected protocols of the transport and application layer - Implementation of network services (web, email, DNS, firewall) - Deployment of defacto industry standard applications for network services - Implementation of network applicationsAssessment methodsFinal exam Practical examination and theoretical examination.Teaching methodsLecture, practical exercises, distance learning tasksLanguageEnglish36Scientific Technical Writing SEScientific Technical Writing SELector: Prof. Priv.-Doz. DI Dr. techn. Slavisa Aleksic, Prof. Dr.-Ing. Christian-Alexander Bunge2SWS4ECTSLanguageEnglish24Software Engineering ILVSoftware Engineering ILVLector: Mag. Dipl.-Ing. Peter Gerstbach, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Sebastian Ukleja, BSc4SWS7ECTSLecture contentsThis lecture aims to explain the technical, organizational and economic aspects of software engineering. Organizational possibilities for structuring software development in the form of process models, such as waterfall model, spiral model and agile models are presented. The technical aspects of software engineering focus on the creation of object-oriented systems and their modeling. The course covers in particular the following contents: - Software Engineering Activities, - Requirements Engineering, - use cases, - high-level design - UML activity diagrams, - UML class diagrams, - UML sequence diagrams, - Software testing, - software process models and - Agile software development.Assessment methodsFinal exam Individual and group worksTeaching methodsBlended learning, guest lectures, experiental learning, coachingLanguageGerman47Telecommunications Systems VOTelecommunications Systems VOLector: Prof. Priv.-Doz. DI Dr. techn. Slavisa Aleksic, DI Mag. Richard Menedetter2SWS4ECTSLanguageEnglish24
4. Semesters LectureSWSECTSData bases UEData bases UELector: DI. Dr.techn. Dominik Ertl, Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Relationale und Objektrelationale Datenbanksysteme sind zentraler Bestandteil vieler IT-Infrastrukturen und Web-basierter Online-Services. In dieser Grundlagen-LVA wird der Entwurf solcher Systeme, das interaktive Arbeiten (SQL – Structured Query Language) und die Programmier- und Web-Anbindung solcher Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Architekturen von Datenbanksystemen - Transaktionskonzept - Entity Relationship (ER) Modell und ER-Entwurf - Relationales Modell, Datenbankentwurf und Normalformen - Datenbankimplementierung mit SQL-DDL - SQL als Abfragesprache - Datenbankprogrammierung (Überblick Persistenz und ORM) - Datenbankanbindung ans WWW - Praktische EntwurfsaufgabenAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Fernlehrunterstützung und praktisches Projekt in der Kleingruppe.LanguageGerman23Data bases VOData bases VOLector: Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Relationale und Objektrelationale Datenbanksysteme sind zentraler Bestandteil vieler IT-Infrastrukturen und Web-basierter Online-Services. In dieser Grundlagen-LVA wird der Entwurf solcher Systeme, das interaktive Arbeiten (SQL – Structured Query Language) und die Programmier- und Web-Anbindung solcher Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Architekturen von Datenbanksystemen - Transaktionskonzept - Entity Relationship (ER) Modell und ER-Entwurf - Relationales Modell, Datenbankentwurf und Normalformen - Datenbankimplementierung mit SQL-DDL - SQL als Abfragesprache - Datenbankprogrammierung (Überblick Persistenz und ORM) - Datenbankanbindung ans WWW - Praktische EntwurfsaufgabenAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag, Fernlehrunterstützung und Seminarpräsentationen.LanguageGerman23Internet of Things ILVInternet of Things ILVLector: FH-Prof. DI Thomas Fischer, FH-Prof. Dipl.-Ing. Heimo Hirner, Silvia Schmidt, BSc MSc, Sebastian Ukleja, BSc3SWS5ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Im Internet of Things (IoT) werden physische Gegenstände über digitale Netzwerke, wie das Internet, vernetzt und virtuell verfügbar gemacht. Neben der einfachen und kostensparenden Netzwerkanbindung dieser Gegenstände ist die Entwicklung von automatisierten digitalen Netzwerkdiensten, die den zusätzlichen Nutzen der Vernetzung realisieren, Ziel des IoT. Das IoT geht einher mit Begriffen wie Industrie 4.0, oder Ubiquitous Computing. Die LV deckt insbesondere die folgenden Inhalte ab: - IoT Netzwerkarchitektur und Design - Smarte Objekte - IoT Access Technologien - Applikationsprotokolle für das IoT - Datenanalyse im IoT - IoT Datenanalyse und Management - IoT in der IndustrieAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag, praktische Übungen, FernlehreaufgabenLanguageEnglish35Project management ILVProject management ILVLector: Mag. Reinhard Rader2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Projektmanagement ist die Anwendung von Wissen, Können, Werkzeugen und Techniken auf Projektaktivitäten, um Projektanforderungen zu erfüllen. Der Projektmanager hat die Aufgabe, die Erwartungen der Stakeholder an das Projekt zu erfüllen. Die LV gibt eine Einführung in die Wissensgebiete des Projektmanagements: - Integrationsmanagement - Inhalts- und Umfangsmanagement - Zeitmanagement - Kostenmanagement - Qualitätsmanagement - Personalmanagement - Kommunikationsmanagement - Risikomanagement - Beschaffungsmanagement - Projekt Stakeholder ManagementAssessment methodsModule examTeaching methods(ONLY IN GERMAN - 01.03.2018) VortragLanguageGerman23Elective Project 1 UEElective Project 1 UELector: DI Dr. techn. Mugdim Bublin, Tobias Buchberger, BSc MSc, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, Ines Kramer, BSc MSc, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS4ECTSLanguageGerman14 Elective Modules 1 (12 ECTS of your choice)LectureSWSECTSIntroduction to AI and Data Science ILVIntroduction to AI and Data Science ILVLector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder3SWS6ECTSLecture contents- Mathematical Basics of AI and Data Science- Linear Algebra - Probability Theory and Statistics - Optimization - Introduction to Artificial Intelligence- Problem Solving and Heuristic Search - Logic and Knowledge Representation - Planning, Learning and Decision Making under Uncertainty - Data Science and Machine Learning Fundamentals- Data Collection, Cleaning, Filtering - Model Building - Model Evaluation - Definition of Machine Learning and classes of Machine Learning Algorithms - Machine Learning Classifiers - Evaluation of Machine Learning AlgorithmsAssessment methodsContinuous assessment - Project work - Exercises during lectures - Final written examTeaching methods- Lecture - Group work (project) - Practical exercises - Continuous Discussion and feedbackLanguageEnglish36Microcontroller Programming ILVMicrocontroller Programming ILV3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Microcontroller oder auch Systems-on-Chip sind in einer Vielzahl von Anwendungen und Geräte enthalten, Ihr Einsatz reicht von der Ansteuerung der LEDs in Beleuchtungskörpern über unzählige Steueraufgaben bis hin zu Smartphones die jeder Mensch ständig bei sich führt. Diese Bauteile enthalten eine Vielzahl unabhängiger Komponenten welche, durch entsprechende Konfiguration, sowie die Erstellung hardwarenaher Programme, Aufgaben energiesparend übernehmen. Die LV deckt insbesondere die folgenden Inhalte ab: - ARM-Cortex M Familie, Harvard Architektur - Statischer & Dynamischer Speicher - STM32 Familie - GPIO, EXTI, NVIC - Advanced TIMER, Systick, RTC - ADC, DMA - LCD-Zeichen-DisplayAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag und praktische ÜbungenLanguageGerman36Mobile App Development ILVMobile App Development ILVLector: Leon Freudenthaler, BSc MSc, Mag. Dipl.-Ing. Peter Gerstbach, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc3SWS6ECTSLanguageEnglish36Modern Networks ILVModern Networks ILVLector: Dr. Jürgen Wolf-Hofer3SWS6ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Im Rahmen der LV wird der Entwurfsprozess der modernen Kommunikationsnetze beschrieben und an praktischen Beispielen angewendet. Angefangen mit Use Cases und der daraus abgeleiteten technischen Anforderungen, wird die Vorgehensweise erklärt, wie man Architektur und Protokolle auswählt und entwirft. Dabei wird besonders auf die Entwicklungsmethodik eingegangen, um die Studenten in der Lage zu versetzten selbstständig einen konstruktiven Beitrag zu Entwurf und Implementierung der modernen Kommunikationsnetzen zu leisten. Weiters wird Analyse, Evaluierung, Test und Wartung der Kommunikationsnetze behandelt. Als praktische Beispiele werden die modernsten Netztechnologien erläutert und diskutiert. Die LV deckt insbesondere die folgenden Inhalte ab: - Anforderungen an die moderne Kommunikationsnetzte - Entwurfsmethodik der Kommunikationsnetze - Quality of Service (QoS) und User Quality Experience (QoE) - Software Defined Network (SDN) - Network Functions Virtualization (NFV) - Cloud Computing - Internet of Things (IoT) - Kommunikationsnetze in der Industrie 4.0 - 5G Mobile Networks - Evaluierung, Test und Wartung der Kommunikationsnetze - Sicherheitsaspekte in den modernen NetzenAssessment methodsTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag, praktische Übungen, Fallstudien, Diskussion der aktuellen Literatur und StandardsLanguageEnglish36Secure Admin Tools ILVSecure Admin Tools ILVLector: FH-Prof. Dipl.-Ing. Manuel Koschuch, Bakk.techn., Silvia Schmidt, BSc MSc3SWS6ECTSLecture contentsThe course gives an overview and a practical introduction to the most important software tools of a system administrator in the context of secure networks. Students will be enabled to use these tools correctly and securely and to configure them accordingly. - VPNs - Hard disk encryption - SSH - Mail Security (PGP, S/MIME) - bash scripting - Establishment of PKIs - Introduction to penetration testingAssessment methodsContinuous assessment Short tests, exercise interviewsTeaching methodsPractical (lab)-exercises, LectureLanguageEnglish36
5. Semesters LectureSWSECTSBachelor Thesis 1 SEBachelor Thesis 1 SELector: DI Dr. techn. Mugdim Bublin, FH-Prof. DI Thomas Fischer, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS4ECTSLecture contents- Independent work on a topic from the area of Computer Science, primarily based on the technical topics of the elective modules in the 4th and 5th semesters at a scientific level under the guidance of a supervisor. - Elaboration of the bachelor thesis 1Assessment methodsFinal exam Approbation of bachelor thesisTeaching methodsImplementation of a project and elaboration as a bachelor thesis with coaching. Students present the current development of their bachelor thesis 1 at regular intervals and put it up for discussion.LanguageGerman14Business Administration ILVBusiness Administration ILVLector: Mag. Karoline Schütz3SWS3ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Wirtschaftliches Handeln im Unternehmen umfasst im Wesentlichen die folgenden Aspekte: - Unternehmertum - Rechtlicher Rahmen - Strategie - Organisation - Mitarbeiter - Kunden/Markt - Produktion - Finanzen/Controlling Im Rahmen der Lehrveranstaltung werden diese Aspekte zunächst theoretisch erarbeitet und immer wieder mit praxirelevanten Fallbeispielen ergänzt, dabei werden insbesondere die folgenden Inhalte abgedeckt: - Das Unternehmertum in der Volkswirtschaft - Gebräuchlichste Unternehmensformen in Österreich - Unterschiedliche Organisationsformen im Unternehmen - Verschiedene Führungsstile im Unternehmen - Konzepte des Marketings - Einblick in das strategische und operative Controlling - Grundzüge des Rechnungswesens - Überblick zur Investition und FinanzierungAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Vortrag, praktische Übungen, ReferateLanguageEnglish33Distributed Systems UEDistributed Systems UELector: DI. Dr.techn. Dominik Ertl, Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Viele moderne Systeme sind verteilte Systeme: IoT (Internet of Things) wie Smart Environments (zB Smart Home, Smart Building, Smart City, …) und Industrie 4.0 (zB Digital Twin); VANETs (Vehicular Ad-Hoc Networks) und SmartCars; Critical Infrastructures und SCADA (Supervisory Control and Data Acquisition) Systems; GNS (Global Sensor Networks). In dieser Grundlagen-LVA werden die Konzepte und Paradigmen derartiger Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Eigenschaften Verteilter Systeme, Middleware - Communication (RPC, RMI, Message Passing) - Operating System Support and Code Migration - Binding, Naming and Discovery - Clocks and Agreement - Dependability: Replication and Fault Tolerance - Performance und Skalierbarkeit - Web Presentation Tier - Web Services und XML - Message-oriented Middleare und JMS - Enterprise JavaAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Fernlehrunterstützung und praktisches Projekt in der Kleingruppe.LanguageGerman23Distributed Systems VODistributed Systems VOLector: Mag. Dipl.-Ing. Dr.techn. Lorenz Froihofer, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Viele moderne Systeme sind verteilte Systeme: IoT (Internet of Things) wie Smart Environments (zB Smart Home, Smart Building, Smart City, …) und Industrie 4.0 (zB Digital Twin); VANETs (Vehicular Ad-Hoc Networks) und SmartCars; Critical Infrastructures und SCADA (Supervisory Control and Data Acquisition) Systems; GNS (Global Sensor Networks). In dieser Grundlagen-LVA werden die Konzepte und Paradigmen derartiger Systeme erarbeitet. Ein praktisches Implementierungs-Projekt dient der Festigung des Gelernten. - Grundlagen und Eigenschaften Verteilter Systeme, Middleware - Communication (RPC, RMI, Message Passing) - Operating System Support and Code Migration - Binding, Naming and Discovery - Clocks and Agreement - Dependability: Replication and Fault Tolerance - Performance und Skalierbarkeit - Web Presentation Tier - Web Services und XML - Message-oriented Middleare und JMS - Enterprise JavaAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag, Fernlehrunterstützung und Seminarpräsentationen.LanguageGerman23Elective Project 2 UEElective Project 2 UELector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc2SWS5ECTSLecture contentsStudents apply the skills acquired to complete a project in a coordinated and structured manner. project in a coordinated and structured manner. In doing so, they independently define a concrete sub-goal in the project. A well-founded theoretical approach is thus combined with practical application. Collaboration on an industrial R&D project or on current problems within the framework of the R&D activities of the UAS is possible.Assessment methodsFinal exam Practical project in small groups.Teaching methodsGroup work, practical project implementation accompanied with exercises and coaching.LanguageGerman25 Elective Modules 2 (12 ECTS of your choice)LectureSWSECTSSelected Topics in IT-Security ILVSelected Topics in IT-Security ILVLector: FH-Prof. Dipl.-Inform. Dipl.-Wirt.Inform. Matthias Peter Hudler, Silvia Schmidt, BSc MSc3SWS6ECTSLecture contentsThis lecture consists of 2 parts 1. Seminar regarding the following topics: Web Security Exploits Overflows Awareness Bot Nets Applied Security Penetration Testing Tool 2. Theoretical Computer Science Finite state machines Complexity Theory Regular Expressions Chomsky HierarchyAssessment methodsFinal exam Term paper, presentation, final examTeaching methodsLectures, inverted classroom, remote/distance learningLanguageGerman36Deep Learning – advanced AI and Data Science ILVDeep Learning – advanced AI and Data Science ILVLector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder, Sebastian Ukleja, BSc3SWS6ECTSLecture contents- Deep Learning Foundation- Motivation and basic ideas - Basic principles behind algorithms - Deep Learning Algorithms and Networks- Convolutional Neuronal Networks (CNN) - Recurrent Neural Networks (RNN) - Generative Neural Networks (GAN, Autoencoders) - Reinforcement Learning (Deep QNet) - Applications of Deep Learning and Artificial Intelligence for- Medicine, IoT, Industry 4.0, Autonomous Driving, Games etc.Assessment methodsContinuous assessment - Project work - Exercises during lectures - Final written examTeaching methods- Lecture - Group work (project) - Practical exercises - Continuous Discussion and feedbackLanguageEnglish36IoT Applications ILVIoT Applications ILVLector: FH-Prof. Dipl.-Ing. Heimo Hirner3SWS6ECTSLecture contentsThe interconnection of millions of smart objects in the Internet of Things (IoT) requires platforms and applications that enable the connection of such a large number of devices as well as provide data management and analysis tools for the resulting data volumes (big data). In this course, students learn about the architectures, technologies and tools of IoT platforms and develop and implement their own IoT applications. The course covers the following contents in particular: - SCADA applications - Open Source IoT applications - IoT application architecture and design - Data types of the IoT - Big Data Analytics Tools and Technologies - IoT Cloud & Edge Streaming Analytics Prerequisites: - Network applications - Internet of Things (IoT access technologies, IoT protocols) - IT-security basics - Linux ( hands-on)Assessment methodsFinal exam Theoretical examination Project work (individual work)Teaching methodsLecture, practical exercises, project workLanguageEnglish36Realtime Operating Systems ILVRealtime Operating Systems ILVLector: FH-Prof. DI Thomas Fischer3SWS6ECTSLecture contents(ONLY IN GERMAN - 28.02.2018) Softwareentwicklung für Microcontroller aufbauend auf Echtzeitbetriebssystemen steht in Fokus dieser Lehrveranstaltung. Gute Kenntnisse über ein Betriebssystem und deren Zeitverhalten sind für viele Einsatzgebiete (Steuerungstechnik, Videoverarbeitung, Börsenhandel) notwendig. Die Integration zugekaufter Middleware und Software-Stacks zur Erstellung angepasster Kundenlösungen sowie die Integration in vorhandene Kommunikations-Infrastruktur sind die zu bewältigenden Aufgaben. Die LV deckt insbesondere die folgenden Inhalte ab: - JTAG & Trace (ARM, ST, Keil, Atollic) - Echtzeitbetriebssysteme am Beispiel FreeRTOS - Inter-Task-Kommunication - SPI, I2C, CAN, USB, Ethernet - Middleware, (USB)-Stack - Touch-Grafik-Display - Schnittstelle FreeRTOS Cloud (AWS Amazon Web Services)Assessment methodsFinal examTeaching methods(ONLY IN GERMAN - 28.02.2018) Projektaufgabe und/oder SeminararbeitLanguageEnglish36Virtual and Augmented Reality ILVVirtual and Augmented Reality ILVLector: DI Dr. techn. Mugdim Bublin, Mag. art Philipp Lammer3SWS6ECTSLanguageEnglish36
6. Semesters LectureSWSECTSRing Lecture - Selected Topics ILVRing Lecture - Selected Topics ILVLector: FH-Prof. DI Thomas Fischer1SWS1ECTSLanguageEnglish11Workshop - Selected Topics SEWorkshop - Selected Topics SELector: Nuno Bettencourt, PhD, FH-Prof. DI Thomas Fischer, Dr. Ian Grout, Prof. Antonella Longo, Roland Skof-Peschetz, B.A. (hons), Prof. Dr. Peter Trommler, Dipl-Inf (Univ.), Erika Wood, BA1SWS2ECTSLanguageEnglish12Bachelor Thesis 2 SEBachelor Thesis 2 SELector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Prof. FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Heimo Hirner, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc, Sebastian Ukleja, BSc1SWS6ECTSLanguageGerman16Bachelor Exam APBachelor Exam AP0SWS2ECTSLanguageGerman02Internship PRInternship PRLector: Bernhard Taufner, BSc, MSc1SWS12ECTSLanguageGerman112IT Process and Quality Management ILVIT Process and Quality Management ILVLector: Mag. Anton Six2SWS4ECTSLecture contents(ONLY IN GERMAN - 27.02.2018) Das Software-Qualitätsmanagement befasst sich mit der Planung, Lenkung und Prüfung der Qualität von Softwareprodukten und -entwicklungsprozessen. Es beinhaltet sowohl Führungsaufgaben zur Festlegung der Qualitätspolitik, der Qualitätsziele und der Verantwortung für Qualität, wie auch Maßnahmen zur Erfüllung vorgegebener Qualitätsanforderungen an Softwareprodukte und -prozesse. Ein sinnvolles Prozessmanagement besteht nun darin, sicherzustellen, dass ein Prozess wirksam das erwünschte Ziel erreicht (Effektivität) und die notwendigen Aktivitäten den minimal erforderlichen Aufwand erfordern (Effizienz). Die LV deckt insbesondere die folgenden Inhalte ab: - Grundbegriffe "Qualität", "Qualitätssicherung" und "Qualitätsmanagement". - Qualitätsplanung - Qualitätsanforderungen (nicht funktionale Anforderungen) - Qualitätslenkung und Qualitätsprüfung - Maßnahmen des produktorientierten Qualitätsmanagements - Maßnahmen des prozessorientierten Qualitätsmanagements - Zusammenhang Fehlerkosten (Fehlerfolgekosten und Fehlerbehebungskosten) und den gegenläufigen Fehlerverhütungskosten (Prüfkosten und Kosten von präventiven Maßnahmen) - Grundlagen Prozessmanagement - Einführung IT Service Management - IT Frameworks (ITIL, COBIT, MOF, MSF) - IT Normen und Standards - Umsetzung von Best Practices - FallbeispielAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 27.02.2018) Vortrag mit Case Studies, Ausarbeitung im Rahmen der Fernlehre, Diskussion im PlenumLanguageGerman24IT law VOIT law VOLector: Mag. Michael Cepic, BSc, Mag. Paul Eberstaller, Mag. Lukas Faymann, Univ.-Ass. Mag. Ziga Škorjanc, Mag. Marie-Catherine Wagner, BSc. (WU), Mag. iur. Felix Zopf2SWS3ECTSLecture contents(ONLY IN GERMAN - 01.03.2018) Die Lehrveranstaltung soll grundlegende Rechtsfragen aus den Bereichen IT/IP-Recht, mit Schwerpunkten im Urheberrecht, Datenschutzrecht und E-Commerce-Recht, abdecken. Studierende sollen nach erfolgreicher Absolvierung der Lehrveranstaltung in der Lage sein, gängige rechtliche Sachverhalte zu erkennen und einzuordnen. Die Lehrveranstaltung beinhaltet insbesondere folgende Inhalte: - Datenschutz und die wesentlichen Inhalte der EU-Datenschutz-Grundverordnung - Marken- und Domainrecht - Grundlegende Rechtsfragen des Vertragsrechts im Internet - Verbraucherschutz im Fernabsatz - Informationspflichten - Grundlagen des Urheberrechts - Grenzüberschreitende Sachverhalte im Geschäftsverkehr im Internet - Providerhaftung - Cybersecurity und CybercrimeAssessment methodsFinal examTeaching methods(ONLY IN GERMAN - 01.03.2018) Vortrag mit Diskussion Selbständige Vorbereitung auf die nächste LehreinheitLanguageGerman23
Admission requirements General higher education entrance qualification: University entrance qualification or degree from a general or vocational secondary schoolUniversity entrance exam (Berufsreifeprüfung)Equivalent certification from abroad Equivalence is determined by international agreements, validation or in individual cases a decision by the head of the academic section.University entrance exam (Studienberechtigungsprüfung) for Electrical Engineering or Computer Science The specific university entrance exam in this field comprises qualifications in "Mathematics 3", "Physics 1" and "English 1". Information and institutes offering courses in preparation for the university entrance exam (Studienberechtigungsprüfung) can be found on the portal Erwachsenenbildung.at of the Federal Ministry of Education, Science and ResearchErwachsenenbildung.atAustrian Federal Ministry of Education, Science and ResearchRelevant professional qualification with auxiliary exams Professional qualifications of apprenticeship groups in electrical disciplines or qualifications from a technical college may exempt you from a physics exam.Regulation for the admission of third country citizens (PDF 224 KB)Information for applicants with non-Austrian (school) certificates (PDF 145 KB)
Application To apply you will require the following documents:Birth certificateProof of citizenshipSchool leaving certificate / university entrance qualification exam (Studienberechtigungsprüfung) / verification of professional qualificationsCV in table formPlease note: It is not possible to save incomplete online applications. You must complete your application in one session. Your application will be valid as soon as you upload all of the required documents and certificates. In the event that some documents (e.g. certificates) are not available at the time you apply, you may submit these later via e-mail, mail or in person by no later than the start of the degree program.
Admission procedure The admission procedure for the academic year 2022/23 includes a written test and an interview with the admission committee. You will receive the date for the admission procedure from the secretary's office.Goal The goal is to offer a study place to those individuals that complete the multi-stage admission procedure with the best results. The test procedures are based on the skills required for the desired profession.Procedure The written entrance test includes a series of test requirements and tests your reasoning ability and basic knowledge of mathematics, logic, deduction, and English (text comprehension). In the interview, you will answer some basic subject-specific questions, some questions about yourself, and explain your motivation for choosing the program (duration of the interview per applicant*: approx. 15 minutes). If you have not yet reached the required entry level for the study program, you will receive recommendations after the admission procedure on how to best prepare yourself subject-specifically.Criteria Admission criteria are based solely on performance. You will receive points for your written test scores and interview. This results in the ranking of the candidates*. Geographical assignments of the applicants have no influence on the admission. The admission requirements must be met. The entire process as well as all test results and evaluations of the admission procedure are documented and archived in a traceable manner.
> FH-Prof. DI Dr. Igor Miladinovic Head of Degree Program Computer Science and Digital Communications, Information Technologies and Telecommunication T: +43 1 606 68 77-2131igor.miladinovic@fh-campuswien.ac.at
> DI Dr. techn. Mugdim Bublin Academic Staff, Stadt Wien Endowed Professorship for Artificial Intelligence