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Python Programming

Module name (EN):
Name of module in study programme. It should be precise and clear.
Python Programming
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Bachelor, ASPO 01.10.2012
Module code: E1573
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P211-0208, P213-0043
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
3S (3 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
2
Semester: 4
Mandatory course: no
Language of instruction:
German
Assessment:
Project work

[updated 15.04.2024]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E1573 (P211-0208, P213-0043) Electrical Engineering, Bachelor, ASPO 01.10.2012 , semester 4, optional course
E2421 (P211-0208) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , optional course, technical
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
45 class hours (= 33.75 clock hours) over a 15-week period.
The total student study time is 60 hours (equivalent to 2 ECTS credits).
There are therefore 26.25 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Gerald Kroisandt
Lecturer:
Hong-Phuc Bui, M.Sc.


[updated 16.10.2018]
Learning outcomes:
On successful completion of this module, students will understand the concepts of programming and data structure and be able to implement these in the Python language.

[updated 15.04.2024]
Module content:
Part 1:
        * Introduction: What is programming, what is the Python language?
        * Installing Python interpreters in different operating systems (Windows/MacOS/Linux)
        * Basics of programming in Python:
         + Program sequence control: Branching, looping;
         + data structures;
         + modules
 
 
Part 2:
        * Object oriented programming in Python
        * Python as an aid in scientific/technical work:
         + Numerical calculation; data visualization/plotting
 
 
Part 3:
        Publishing a Python program/library

[updated 15.04.2024]
Recommended or required reading:
Klein, Bernd: Einführung in Python 3: Für Ein- und Umsteiger (2017)
 
Woyand, Hans-Bernhard: Python für Ingenieure und Naturwissenschaftler: Einführung in die Programmierung, mathematische Anwendungen und Visualisierungen (2017)

[updated 15.04.2024]
 
[Sat Nov 23 14:30:48 CET 2024, CKEY=dppa, BKEY=e2, CID=E1573, LANGUAGE=en, DATE=23.11.2024]