Digital Tools - Methods and Algorithms (Part 2)

Dr. Ing. M. Haupt, Prof. Dr.-Ing. S. Heimbs, M.Sc. H. Dahmen, M.Sc. D. Hahn, M.Sc. L. Kreuzeberg 

Short Description

After completing the module, students are able to use object-oriented programming languages (Python, C ++) and their environment (development environments, expansion modules) in a goal-oriented manner. The skills learned include working effectively with vectors, matrices and their algebra, visualizing and analyzing data, performing simple simulations and working with symbolic mathematics. The students are able to combine and link efficiently and problem-oriented the various digital tools. Furthermore, the students are able to perform object-oriented software engineering for new problems and to design algorithms on the basis of design patterns and to develop and use corresponding data structures. The students also have initial theoretical and practical knowledge in the areas of optimization and machine learning.

2nd semester (SS):
Expansion and deepening of the subject areas using engineering examples
Data structures and algorithms design
Software engineering and object-oriented modeling
Optimization tasks (deap)
Numerical solving of differential equations (scipy)
Network technologies and parallelization
Basics of C ++ and its integration in Python
Machine learning (Scikit, keras)

Prerequisites

Digital Tools (Part 1) - Introduction to Programming