Sebastian Ukleja, BSc Junior Researchersebastian.ukleja@fh-campuswien.ac.at T: +43 1 606 68 77-2143 F: +43 1 606 68 77-2139 Room: B.3.08 Favoritenstraße 226 1100 WienLectures 2021/22Engineering> Deep Learning – advanced AI and Data Science ILV Computer Science and Digital Communications moreDeep 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 feedbackLanguageEnglish> Deep Learning – advanced AI and Data Science ILV Computer Science and Digital Communications moreDeep 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 feedbackLanguageEnglish> Internet of Things ILV Computer Science and Digital Communications moreInternet of Things ILVLector: 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, FernlehreaufgabenLanguageEnglish> Bachelor Thesis 2 SE Computer Science and Digital Communications moreBachelor Thesis 2 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. DI Dr. Igor Miladinovic, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, 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, BSc1SWS6ECTSLanguageGerman> Software Engineering ILV Computer Science and Digital Communications moreSoftware 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, coachingLanguageGerman> Internet of Things ILV Computer Science and Digital Communications moreInternet 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, FernlehreaufgabenLanguageEnglish> Elective Project 1 UE Computer Science and Digital Communications moreElective 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, BSc1SWS4ECTSLanguageGerman> Bachelor Thesis 1 SE Computer Science and Digital Communications moreBachelor 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.LanguageGerman> Elective Project 2 UE Computer Science and Digital Communications moreElective 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.LanguageGerman> Bachelor Thesis 2 SE Computer Science and Digital Communications moreBachelor 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, BSc1SWS6ECTSLanguageGerman> Algorithms and data structures ILVmoreAlgorithms and data structures ILVLector: Sebastian Ukleja, BSc3SWS5ECTSLanguageGerman
> Deep Learning – advanced AI and Data Science ILV Computer Science and Digital Communications moreDeep 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 feedbackLanguageEnglish
> Deep Learning – advanced AI and Data Science ILV Computer Science and Digital Communications moreDeep 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 feedbackLanguageEnglish
> Internet of Things ILV Computer Science and Digital Communications moreInternet of Things ILVLector: 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, FernlehreaufgabenLanguageEnglish
> Bachelor Thesis 2 SE Computer Science and Digital Communications moreBachelor Thesis 2 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. DI Dr. Igor Miladinovic, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, 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, BSc1SWS6ECTSLanguageGerman
> Software Engineering ILV Computer Science and Digital Communications moreSoftware 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, coachingLanguageGerman
> Internet of Things ILV Computer Science and Digital Communications moreInternet 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, FernlehreaufgabenLanguageEnglish
> Elective Project 1 UE Computer Science and Digital Communications moreElective 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, BSc1SWS4ECTSLanguageGerman
> Bachelor Thesis 1 SE Computer Science and Digital Communications moreBachelor 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.LanguageGerman
> Elective Project 2 UE Computer Science and Digital Communications moreElective 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.LanguageGerman
> Bachelor Thesis 2 SE Computer Science and Digital Communications moreBachelor 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, BSc1SWS6ECTSLanguageGerman
> Algorithms and data structures ILVmoreAlgorithms and data structures ILVLector: Sebastian Ukleja, BSc3SWS5ECTSLanguageGerman