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Programming 2

Module name (EN):
Name of module in study programme. It should be precise and clear.
Programming 2
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Production Informatics, Bachelor, SO 01.10.2023
Module code: PRI-PRG2
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.
P223-0008
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.
2V+2P (4 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.
5
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam, Duration 120 min.

[updated 30.04.2025]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

PRI-PRG2 (P223-0008) Production Informatics, Bachelor, SO 01.10.2023 , semester 2, mandatory course
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).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
PRI-INF1 Informatics 1
PRI-PRG1 Programming 1


[updated 01.04.2025]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr.-Ing. Martin Burger
Lecturer:
Prof. Dr.-Ing. Martin Burger


[updated 01.04.2025]
Learning outcomes:
After successfully completing this module, students will be able to actively apply basic Python concepts (data types, control structures, lists, dictionaries, functions, object-oriented approaches) in their own programs.
 
- They will be able to plan and implement robust Python solutions and verify their functionality using appropriate testing procedures.
 
- While working independently on the material, students will continuously reflect on their learning progress and consolidate the content through independent practice phases.
 
- In a final project, they will analyze a practical problem from production informatics and develop a complete software solution (program structure, implementation, testing, documentation).

[updated 30.04.2025]
Module content:
Basic concepts of Python: Data types (numbers, strings, Booleans), variables and expressions, handling input and output.
 
Structured programming: Control structures such as loops and branches, clever use of lists and dictionaries to manage complex data.
 
Modularity and functions: Developing clearly structured programs using functions; dividing code sensibly and reusing it; understanding parameters and return values.
 
Object-oriented programming: Classes and objects, methods, attribute management; implementing initial complex applications through the interaction of multiple classes.
 
Robust software development: Error handling (try-except), reading and writing files, quality assurance testing procedures, and basic debugging techniques.
 
Practice-oriented final project: Analysis of a production-related problem, development of a complete application (planning, implementation, testing, documentation). Students will learn to continuously improve their program code and pay attention to reliability and maintainability.

[updated 30.04.2025]
Teaching methods/Media:
- Inverted classroom
 
- Related activities in Moodle

[updated 30.04.2025]
Recommended or required reading:
- Matthes, E. (2023). Python Crashkurs: Eine praktische, projektbasierte Programmiereinführung. dpunkt.
 
- Ramalho, L. (2022). Fluent Python: Clear, Concise, and Effective Programming. O"Reilly Media.
 
- Shovic, J. (2024). Python All-in-One For Dummies. For Dummies.

[updated 30.04.2025]
 
[Wed Jul  2 02:58:42 CEST 2025, CKEY=pp2a, BKEY=pri, CID=PRI-PRG2, LANGUAGE=en, DATE=02.07.2025]