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Concepts of Object-Oriented Programming
Last Updated: 2026-06-01 11:30:46
Abstract
Course that focuses on an in-depth understanding of object-oriented programming and compares designs of object-oriented programming languages. Topics include different flavors of type systems, inheritance models, encapsulation in the presence of aliasing, object and class initialization, program correctness, reflection
Objective
After this course, students will: Have a deep understanding of advanced concepts of object-oriented programming and their support through various language features. Be able to understand language concepts on a semantic level and be able to compare and evaluate language designs. Be able to learn new languages more rapidly. Be aware of many subtle problems of object-oriented programming and know how to avoid them.
Content
The main goal of this course is to convey a deep understanding of the key concepts of sequential object-oriented programming and their support in different programming languages. This is achieved by studying how important challenges are addressed through language features and programming idioms. In particular, the course discusses alternative language designs by contrasting solutions in languages such as C++, C#, Eiffel, Java, Python, and Scala. The course also introduces novel ideas from research languages that may influence the design of future mainstream languages. The topics discussed in the course include among others: The pros and cons of different flavors of type systems (for instance, static vs. dynamic typing, nominal vs. structural, syntactic vs. behavioral typing) The key problems of single and multiple inheritance and how different languages address them Generic type systems, in particular, Java generics, C# generics, and C++ templates The situations in which object-oriented programming does not provide encapsulation, and how to avoid them The pitfalls of object initialization, exemplified by a research type system that prevents null pointer dereferencing How to maintain the consistency of data structures
Resources
Literature
Will be announced in the lecture.
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- DZ , SHE , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- written 120 minutes
- Aids
- keine
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Concepts of Object-Oriented Programming |
|
3 h weekly |
| exercise | Concepts of Object-Oriented Programming |
|
2 h weekly |
| independent project | Concepts of Object-Oriented Programming | No time listed | 2 h weekly |
Offered In
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Wahlfächer (Von den angebotenen Wahlfächern müssen mindestens zwei Lerneinheiten erfolgreich abgeschlossen werden. Als Wahlfächer für Rechnergestützte Wissenschaften Master gelten automatisch (ohne Anrechnungsgesuch) auch alle Kernfächer/Vertiefungsfächer (aber nicht Wahlfächer!) aus folgenden Studiengängen: Informatik Master Mathematik Master Physik Master Elektrotechnik und Informationstechnologie Master Data Science Master Robotics, Systems and Control Master Statistik Master Neural Systems and Computation Master gemäss den angegebenen Abschnittsreferenzen.)
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Informatik Lehrdiplom (Weitere Informationen: )
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Informatik DZ (Detaillierte Informationen zum Ausbildungsgang auf: )
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Computational Biology and Bioinformatics Master (Weitere Informationen: )
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Vertiefungsfächer (In den Vertiefungsfächern müssen insgesamt 30 ECTS erworben werden. Davon mindestens 16 ECTS in der Unterkategorie Theorie und mindestens 10 ECTS in der Unterkategorie Biologie.)
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Theorie (Mindestens 16 ECTS müssen in dieser Unterkategorie erworben werden.)
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