Digital Data Aggregation, Analysis and Visualization

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Digital Data Aggregation, Analysis and Visualization

Prof. Dr. Sebastian Zug
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Category Mathematics and Computer Science
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Realize of simple measurement tasks with a microcontroller, and analyse of the data; understand and apply the computer science concept of ‘algorithms’; learn the basic elements of procedural and object-oriented programming; fundamental knowledge about C++ and Python.

The following course/module was developed at the TU Bergakademie Freiberg.

Learning outcomes / Competencies

The successful participation enables the students to

Understand what algorithms are, and how concrete scientific tasks can be translated to algorithms
Apply concepts of procedural and object-oriented programming in Python and C++
Be able to identify practical challenges of data aggregation and processing, and realize the respective implementations
Categorize and use programming tools
Apply data structures and algorithmic concepts, and dispose of knowledge of selected standard algorithms