Information for New Students

If you are new to the Media Informatics program take a look at this welcome package.

Structure of the Programme

In the Master's program Media Informatics courses in the following areas are offered:

  • Compulsory Modules
  • Computer and Communication Technology
  • Multimedia Technology
  • Multimedia Use and Impact
  • Practical Labs
  • Communication Skills

and the

  • Master's Thesis

Please find below examples for courses from the different areas. Keep in mind that these courses may not be offered anymore since this is a collection of offered courses over the last years.

Compulsory courses are marked with a hashtag #.

ScopeLectures
Compulsory Modules 
  • Data Science #
  • Computer Graphics #
  • Designing Interactive System #
 
Computer and Communication Technology 
  • Ad-Hoc Networks: Architecture and Protocols
  • Advanced Algorithmic Differentiation  
  • Advanced Algorithmics
  • Advanced Data Models
  • Advanced Internet Technology
  • Advanced Methods of Cryptography
  • Advanced Process Mining
  • Algorithmic Differentiation
  • Algorithmic Game Theory
  • Analysis of Algorithms
  • Artificial Intelligence
  • Big Data Analytics
  • Communication Protocols
  • Communication Systems Engineering
  • Cryptography
  • Data Science and Big Data
  • Dynamical Processes on Networks
  • Embedded Systems
  • Functional safety and system dependability
  • High-Performance Computing
  • Implementation of Databases
  • Intelligent Learning and Analysis Systems: Data Mining & Knowledge Discovery
  • Introduction to Algorithmic Differentiation
  • Introduction to Bioinformatics
  • Introduction to Data Science
  • Introduction to Numerical Methods and Software
  • IT-Security 1 - Cryptographic Basics and Network Security
  • IT-Security 2 - Computer Security
  • Knowledge Graph Analysis
  • Mobile Internet Technology
  • Mobile Radio Networks 1
  • Model-Based Software Engineering
  • Model-based Systems Engineering
  • Object Oriented Software Construction
  • Online Algorithms
  • Principles and Architectures of Cognitive Radios
  • Research Focus Class on Communication Systems
  • Security in Mobile Communication
  • Social Computing
  • Software Project Management
  • Software Quality Assurance
 
Multimedia Technology 
  • Advanced Machine Learning
  • Advanced Methods in Automatic Speech Recognition
  • Advanced Statistical Classification
  • Advanced Techniques in Physically-Based Animation
  • Advanced Topics of Virtual Reality
  • Automatic Speech Recognition
  • Computer Vision
  • Computer Vision 2
  • Data-Driven Methods for 3D Shape Analysis
  • Deep Learning for Visual Recognition
  • Design Thinking
  • Designing Interactive Systems II
  • DSP Design Methodologies and Tools
  • Foundations of Audio Signal Processing
  • Game AI
  • Geometry Processing
  • Humanoid Robotics
  • Image Acquisition and Analysis in Neuroscience
  • Image Processing
  • Intelligent Learning and Analysis Systems: Machine Learning
  • Introduction to Sensor Data Fusion
  • iOS Application Development
  • Knowledge Representation
  • Machine Learning
  • Mining Media Data
  • Mining Media Data II
  • Pattern Matching and Machine Learning for Audio Signal Processing
  • Pattern Recognition (I)
  • Pattern Recognition (II)
  • Physically-Based Animation
  • Real-time Graphics
  • Research Focus Class on Learning Technologies
  • Semantic Data Web Technologies
  • Semantic Web
  • Social Networks
  • Speech Assistant Technology & Conversational AI
  • Statistical Classification and Machine Learning
  • Statistical Methods in Natural Language Processing
  • Technical Neural Nets
  • The Logic of Knowledge Bases
  • User Centered Technology Design
  • Virtual Reality
  • Visual Data Analysis
  • Web Mining
  • Web Science
 
Multimedia Use and Impact 
  • Algorithms for Politics
  • Business Process Intelligence
  • CSCW and Groupware: Concepts and Systems for Computer Supported Cooperative Work
  • Current Topics in Media Computing and HCI
  • Data Driven Medicine - project-oriented, multidisciplinary introduction
  • eBusiness - Applications, Architecture and Standards
  • Language, Culture, and Cognition
  • Language, Mind, and Media
  • Learning Technologies
  • Process Management
  • Social Data Science
 
Communication Skills 
  • Technical Writing #
  • Seminar (e.g. in topics as stated above) #
  • German Language Course # (Native German speakers have to do another seminar instead of the German language course)
 
Lab Work 
  • Two Lab courses (e.g. in various related topics as stated above) #, one at one of the participating Fraunhofer Institutes #
 

The given lectures can vary from term to term and you can choose among them to get your needed credits. If you want to have a look at the currently and previously offered courses, please visit our course page.

In addition to the courses offered during the semester we do offer further courses in the lecture free period. These courses can increase your knowledge or speed up your study.

An example layout of the study may look like that:

First Year

Second Year

First SemesterSecond SemesterThird SemesterFourth Semester

~26 credits in lectures

Technical writing

(Bridging course)

~20 credits in lectures

Seminar

Practical Lab

 

~12 credits in lectures

German course

Practical Lab

Master's thesis (6 months)