The specialization Visualization & Scientific Computing offers a rich and diverse set of lectures in the area of scientific data analysis ranging from numerical simulations to interactive data exploration. Depending on how you combine the lectures, you will become an expert in a particular area which we call a flavor. The three sections below highlight some common flavors of our specialization and explain which modules you should take to obtain necessary skills.

Primary Specialization: Visualization and Scientific Computing

If you choose Visualization and Scientific Computing as your primary specialization, we offer you the following flavors:

• Visualization Expert If you want to obtain comprehensive skills in the visual analysis of all kinds of data types (tables, simulated fields, geometric data, interactive exploration), this is your flavor.
• Data Scientists You want to explore, understand and explain data that can be stored in a table? Then you may be a data scientist. Learn how to interactively explore tabular data, how to . Recommended Specialization 2: Intelligent Systems.
• Large-Data Expert Learn how to handle large data sets by focusing on efficient visualization and analysis algoithms and understanding HPC and GPU techniques
• Scientific Computing Learn about modern methods in high-fidelity simulation and optimization and study the HPC nuts and bolts behind them.
• Human Computer Interaction Combine techniques from visualization and Human Computer Interaction to build innovative user interfaces and data analysis tools.
• Algorithmics Look at the algorithmic foundations of data analysis and visualization in geometry, topology, differentiation, and optimization.

Secondary specialization

If you take Visualization and Scientific Computing as your secondary specialization, we offer you the following flavors:

• HPC Expert Large data is your friend and you want to learn how write efficient algorithms for its analysis, then this is your flavor.
• Visualization Pro You want to complement your first specialization with a thorough understanding of data visualization for a variety of data types, then you should become a Visualization Guru.
• Data Scientist Your primary specialization is Intelligent Systems and you want to learn how to include the human (non-)expert more tightly in the analysis loop, then your flavor is Data Scientist.
• Human Computer Interaction Combine techniques from visualization and Human Computer Interaction to build innovative user interfaces and data analysis tools.