Big Data Algorithms and Systems
Lecturer | Prof. Dr. Siebert Andreas |
Type of course | Lecture / Tutorials |
ECTS credits | 5 |
Semester | Summer semester |
Admission Requirements | Algorithms and data structures; programming knowledge |
Objectives |
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Internet of Things
Internet of Things
Lecturer | Prof. Dr. Abdelmajid Khelil, Dominik Obermaier |
Type of course | Lecture / Tutorials |
ECTS credits | 5 |
Semester | Summer semester |
Admission Requirements | |
Objectives |
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Cloud Computing
Cloud Computing
Lecturer | Prof. Dr. Markus Mock |
Type of course | Lecture |
ECTS credits | 5 |
Semester | Summer Term |
Admission Requirements | Programming experience and a course in algorithms and data structures |
Objectives |
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Innovation Lab (IoT-Project)
Lecturer | Prof. Dr. Abdelmajid Khelil |
ECTS | 5 |
Semester | Summer |
Admission Requirements | Experience in Software Enigneering and Programming |
Objectives |
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Teaching Content | The cooperating companies offer the students real problems from the most important IoT domains, such as Smart Agriculture, Smart Building, Smart Energy, Smart Production, eHealth, etc. The problem is described in detail using defined application cases. In addition, the aspects of IoT Cloud and IoT Security are also examined. |
Introduction to Artificial Intelligence
Lecturer | Eduard Kromer |
ECTS | 5 |
Semester | Summer |
Admission Requirements | Experience in Java-Programming |
Objectives | Students will gain an overview of the methods of artificial intelligence. They will be able to apply automatic reasoning for the design and implementation of expert systems. They know which kind of problems can be solved with automatic planners and know the advantages and disadvantages of specific planning algorithms. |
Course Content |
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Study Project
Lecturer | Lecturers of CS |
ECTS | 5 |
Semester | Summer |
Admission Requirements | Experience in Programming and Software Engineeering |
Objectives | The students know the problems of creating complex systems. They can apply the basics of scientific work and know how to independently carry out projects appropriate to the degree programme. They have learned to work in a team and have acquired knowledge in estimating the scope of projects as well as in the management and supervision of projects. They are able to apply interdisciplinary knowledge and present work results. |
Course Content | The teachers of the Faculty of Computer Science offer the students a choice of project topics with a short description. Teams of students can propose a project themselves, for this you must find a supervising lecturer. The students are regularly supervised professionally by the issuing lecturer. |