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Studium

Unseren Studierenden vermitteln wir praxisorientiertes Sachwissen und überfachliche Kompetenzen.

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence

Lecturer	Prof. Dr. Johannes Uhrmann
Type of course	Lecture / Tutorials
ECTS credits	5
Semester	Summer semester
Admission Requirements
Objectives	Basic Concepts, Predicate Logic, Inference Machines, Planning

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	Become familiar with basic algorithms in the field of big data and be able to apply them Become familiar with systems that are used to process very large volumes of – in particular – unstructured data and be able to assess when it is appropriate to use them

Internet of Things

Internet of Things

Lecturer	Prof. Dr. Abdelmajid Khelil
Type of course	Lecture / Tutorials
ECTS credits	5
Semester	Summer semester
Admission Requirements
Objectives	The syllabi will be communicated soon

IT for Smart Grids

IT for Smart Grids

Lecturer	Prof. Dr. Sascha Hauke
Type of course	Lecture / Tutorials
ECTS credits	5
Semester	Summer semester
Admission Requirements
Objectives	the syllabi will be communicated soon

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	Become familiar with the importance of resource management and the concept of elasticity in the cloud Learn about strategies for synchronizing distributed data sources Explain the advantages and disadvantages of virtualized infrastructures Become ready to launch an application that uses cloud infrastructure for processing or data storage in the cloud Ability to structure an application appropriately between client and cloud rescources Learn about important computing paradigms for highly distributed processing such as Mapreduce

Concepts of Modern Programming Languages

Concepts of Modern Programming Languages

Lecturer	Mock, Markus (Prof. Dr.)
Type of course	Lecture / Exam
ECTS credits	5
Semester	winter term
Admission Requirements	---
Objectives	Type Systems, Visibility, Memory Management, Cluster Computing, Cloud Programming Languages, Continuous Deployment

Seminar

Seminar

Lecturer	Scholz, Peter (Prof.)
Type of course	Lecture / Exam
ECTS credits	5
Semester	summer term
Admission Requirements	---
Objectives	Students hold a 45 min presentation on a current research topic

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