Details

DI Dr. techn. Mugdim Bublin

Academic Staff
Stadt Wien Endowed Professorship for Artificial Intelligence


T: +43 1 606 68 77-2133
F: +43 1 606 68 77-2139

Room: B.3.14
Favoritenstraße 226
1100 Wien

Personal Webspace


Lectures 2020/21

Engineering

> Deep Learning and Virtual Reality Wahlpflichtmodul…
Software Design and Engineering more

Deep Learning and Virtual Reality Wahlpflichtmodul MODUL

3SWS
6ECTS
> Software Engineering Project 1 UE
Software Design and Engineering more

Software Engineering Project 1 UE

Lector: DI Dr. techn. Mugdim Bublin, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, 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, Bernhard Taufner, BSc, MSc

1SWS
5ECTS

Lecture contents

Software Engineering Project 1 enables students to implement the knowledge acquired during their studies in a concrete project. In the first semester, a concrete problem is analyzed and a design for the software solution is worked out using Advanced Project Management methods. This solution will then be implemented in the software project in the second semester.
The LV covers in particular the following contents:
- Application of modern project management methods to a concrete project Formulation
- , classification and prioritization of requirements for a concrete problem Use of
- UML diagrams (Use Case, class, activity and sequence diagrams) for software design design to meet requirements Structured
- and standardized documentation of results as a high-level design document that serves as a basis for implementation
.

Assessment methods

Final exam
Module testing, project submission

Teaching methods

Group work, practical project implementation accompanied by exercises and coaching

Language

German

> Software Engineering Project 2 UE
Software Design and Engineering more

Software Engineering Project 2 UE

Lector: DI Dr. techn. Mugdim Bublin, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, 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, Bernhard Taufner, BSc, MSc

1SWS
5ECTS

Lecture contents

Software Engineering Project 2 enables students to implement the knowledge acquired during their studies in a concrete project. In the second semester, based on requirements and design draft from the software design project, the software solution is implemented in the first semester using modern software development methods and tools. This implemented solution is then systematically tested and improvements are incorporated.
The LV covers in particular the following contents:
- Implementation of classes and data structures based on the High Level Design documentUse of
- software algorithms for the implementation of activity and sequence diagramsDefinition
- and prioritization of test cases under consideration of requirementsConduction of
- test scenarios with current test tools

Assessment methods

Continuous assessment
Module testing, project delivery.

Teaching methods

Group work, practical project implementation accompanied by exercises and coaching

Language

German

> Introduction to AI and Data Science ILV
Computer Science and Digital Communications more

Introduction to AI and Data Science ILV

Lector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder

3SWS
6ECTS

Lecture 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 Algorithms

Assessment methods

Continuous assessment
- Project work
- Exercises during lectures
- Final written exam

Teaching methods

- Lecture
- Group work (project)
- Practical exercises
- Continuous Discussion and feedback

Language

English

> Bachelor Thesis 1 SE
Computer Science and Digital Communications more

Bachelor Thesis 1 SE

Lector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Herbert Paulis, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Dr. Christian Steineder

1SWS
4ECTS

Lecture 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 1

Assessment methods

Final exam
Approbation of bachelor thesis

Teaching methods

Implementation 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.

Language

German

> Elective Project 2 UE
Computer Science and Digital Communications more

Elective Project 2 UE

Lector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Herbert Paulis, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Dr. Christian Steineder

2SWS
5ECTS

Language

German

> Virtual and Augmented Reality ILV
Computer Science and Digital Communications more

Virtual and Augmented Reality ILV

Lector: DI Dr. techn. Mugdim Bublin

3SWS
6ECTS

Language

English

> Bachelor Thesis 2 SE
Computer Science and Digital Communications more

Bachelor Thesis 2 SE

Lector: DI Dr. techn. Mugdim Bublin, Leon Freudenthaler, BSc MSc, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, FH-Prof. Dipl.-Ing. Dipl.-Ing. Dr. techn. Dr. tech Gernot Kucera, FH-Prof. Dipl.-Ing. Herbert Paulis, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, FH-Prof.in Mag.a Dr.in Sigrid Schefer-Wenzl, MSc BSc, Dr. Christian Steineder

1SWS
6ECTS

Language

German

> Elective Project 1 UE
Computer Science and Digital Communications more

Elective Project 1 UE

Lector: DI Dr. techn. Mugdim Bublin, FH-Prof. DI Thomas Fischer, Leon Freudenthaler, BSc MSc, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, Dipl.-Ing. Heimo Hirner, FH-Prof. DI Dr. Igor Miladinovic, Mag. Dipl.-Ing. Dr.techn. Wolfgang Radinger-Peer, MBA, Silvia Schmidt, BSc MSc, Dr. Christian Steineder, Bernhard Taufner, BSc, MSc

1SWS
4ECTS

Language

German

> Introduction to AI and Data Science ILV
Computer Science and Digital Communications more

Introduction to AI and Data Science ILV

Lector: DI Dr. techn. Mugdim Bublin, Dr. Christian Steineder

3SWS
6ECTS

Lecture 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 Algorithms

Assessment methods

Continuous assessment
- Project work
- Exercises during lectures
- Final written exam

Teaching methods

- Lecture
- Group work (project)
- Practical exercises
- Continuous Discussion and feedback

Language

English

> Bachelor Thesis 1 SE
Computer Science and Digital Communications more

Bachelor Thesis 1 SE

Lector: DI Dr. techn. Mugdim Bublin, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, Dipl.-Ing. Heimo Hirner, Dipl.-Ing. Manuel Koschuch, Bakk.techn., FH-Prof. DI Dr. Igor Miladinovic, Silvia Schmidt, BSc MSc, Bernhard Taufner, BSc, MSc

1SWS
4ECTS

Language

German

> Elective Project 2 UE
Computer Science and Digital Communications more

Elective Project 2 UE

Lector: DI Dr. techn. Mugdim Bublin, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, Dipl.-Ing. Heimo Hirner, Dipl.-Ing. Manuel Koschuch, Bakk.techn., FH-Prof. DI Dr. Igor Miladinovic, Silvia Schmidt, BSc MSc, Bernhard Taufner, BSc, MSc

2SWS
5ECTS

Language

German

> Virtual and Augmented Reality ILV
Computer Science and Digital Communications more

Virtual and Augmented Reality ILV

Lector: DI Dr. techn. Mugdim Bublin

3SWS
6ECTS

Language

English

> Bachelor Thesis 2 SE
Computer Science and Digital Communications more

Bachelor Thesis 2 SE

Lector: DI Dr. techn. Mugdim Bublin, FH-Hon.Prof. Priv.-Doz. Mag. DI. DI. Dr.techn. Karl Michael Göschka, DI Jochen Hense, MBA, Dipl.-Ing. Heimo Hirner, Dipl.-Ing. Manuel Koschuch, Bakk.techn., FH-Prof. Dipl.-Ing. Dipl.-Ing. Dr. techn. Dr. tech Gernot Kucera, FH-Prof. DI Dr. Igor Miladinovic, Silvia Schmidt, BSc MSc, Bernhard Taufner, BSc, MSc

1SWS
6ECTS

Language

German