Introduction to Scientific Programming with Python

IS 557 for Master students (M.Sc. MMM, M.Sc. WiPäd, M.Sc. VWL, MMDS)

Lecturer	Prof. Dr. Markus Strohmaier & Georg Ahnert
Course Format	Lecture + Exercise
Offered in	Winter Semester
Credit Points	6 ECTS
Language	English
Grading	Written exam
Exam Date	To be announced
Information for Students	The course is limited to 100 participants. Please register in time via Portal2. Students must pass at least 50% of the written assignments in the exercise class in order to take the final exam.

For administrative questions, please contact office.strohmaiermail-uni-mannheim.de.

Research Assistant at the Chair for Data Science in the Economic and Social Sciences

University of Mannheim
L 15, 1–6
3rd floor – Room 322
68161 Mannheim

E-mail: ahnertuni-mannheim.de
Web: georgahnert.de

Credit: privat

Course Description
This course introduces students to principles of scientific programming with the Python programming language. Aside from more introductory concepts, more advanced programming concepts and important scientific libraries essential for data analysis and research are introduced.
Objectives
On completion of the course students should be familiar with the Python programming language and able to solve more scientific and complex problems in Python. This covers the application of scientific libraries, some machine learning techniques, the collection of data with web mining and handling of large datasets.
Skills:
Handling of scientific programming projects
Independent choice of data-structures and methods to solve a given problem
Knowledge about the different scientific libraries and their advantages
Data preprocessing, analysis and visualization
Requirements
Necessary: -
Recommended: Basic knowledge about programming languages, statistics, and linear algebra.