- german translation

This commit is contained in:
rene 2019-07-07 14:03:40 +02:00
parent 955b0f3256
commit 820013c040

View File

@ -106,7 +106,7 @@ Liste (Netzwerke, Sicherheit) ansehen.
- Adjazenzmatrix - Adjazenzmatrix
- Adjazenzliste - Adjazenzliste
- Traversierung: Breitensuche, Tiefensuche - Traversierung: Breitensuche, Tiefensuche
- [Sonstiges](#even-more-knowledge) - [Noch mehr](#even-more-knowledge)
- [Rekursion](#recursion) - [Rekursion](#recursion)
- [Dynamische Programmierung](#dynamic-programming) - [Dynamische Programmierung](#dynamic-programming)
- [Object-orientierte Programmierung](#object-oriented-programming) - [Object-orientierte Programmierung](#object-oriented-programming)
@ -868,7 +868,7 @@ Schreib Code auf einer Tafel oder auf Papier, aber nicht am Computer. Teste mit
- Selection sort and insertion sort are both O(n^2) average and worst case - Selection sort and insertion sort are both O(n^2) average and worst case
- For heapsort, see Heap data structure above. - For heapsort, see Heap data structure above.
- [ ] Not required, but I recommended them: - [ ] Nicht vorgeschrieben, aber würde ich empfehlen:
- [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.coursera.org/learn/algorithms-part2/home/week/3) - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.coursera.org/learn/algorithms-part2/home/week/3)
- [ ] [1. Strings in Java](https://www.coursera.org/learn/algorithms-part2/lecture/vGHvb/strings-in-java) - [ ] [1. Strings in Java](https://www.coursera.org/learn/algorithms-part2/lecture/vGHvb/strings-in-java)
- [ ] [2. Key Indexed Counting](https://www.coursera.org/learn/algorithms-part2/lecture/2pi1Z/key-indexed-counting) - [ ] [2. Key Indexed Counting](https://www.coursera.org/learn/algorithms-part2/lecture/2pi1Z/key-indexed-counting)
@ -882,8 +882,8 @@ Schreib Code auf einer Tafel oder auf Papier, aber nicht am Computer. Teste mit
- [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
- [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14)
As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). Als Zusammenfassung hier ist eine grafische Darstellung von [15 Sortieralgorithmen](https://www.youtube.com/watch?v=kPRA0W1kECg).
If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) Falls du noch mehr zu dem Thema wissen willst, schau dir "Sortierung" unter [Weitere Details für ausgewählte Themen](#additional-detail-on-some-subjects) an
</details> </details>
@ -892,17 +892,17 @@ If you need more detail on this subject, see "Sorting" section in [Additional De
<details> <details>
<summary>Graphen</summary> <summary>Graphen</summary>
Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. Graphen können genutzt werden um damit viele verschiedene Probleme in der Informatik darzustellen. Deswegen ist dieser Abschnitt so lang wie Bäume und Sortierung.
- Bemerkungen: - Bemerkungen:
- There are 4 basic ways to represent a graph in memory: - Es gibt 4 verschiedene Arten einen Graph im Speicher zu repräsentieren:
- objects and pointers - Objekte und Pointer
- adjacency matrix - Adjazenzmatrix
- adjacency list - Adjazenzliste
- adjacency map - adjacency map
- Familiarize yourself with each representation and its pros & cons - bekanntmachen mit jeder dieser Repräsentationen und ihrer Vor- und Nachteile
- BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - BFS und DFS - kenne Komplexität, ihre Kompromisse, und wie man sie mit echten Code umsetzt
- When asked a question, look for a graph-based solution first, then move on if none. - Wenn eine Frage gestellt wird, suche zuerst nach einer graphbasierten Lösung, dann geh weiter wenn es keine gibt.
- [ ] MIT(videos): - [ ] MIT(videos):
- [ ] [Breadth-First Search](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - [ ] [Breadth-First Search](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13)
@ -931,59 +931,59 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
- [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw)
- Full Coursera Course: - Kompletter Coursera Kurs:
- [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome)
- I'll implement: - werde ich implementieren:
- [ ] DFS with adjacency list (recursive) - [ ] DFS mit Adjazenzliste (rekursiv)
- [ ] DFS with adjacency list (iterative with stack) - [ ] DFS mit Adjazenzliste (iterativ mit Stack)
- [ ] DFS with adjacency matrix (recursive) - [ ] DFS mit Adjazenzmatrix (rekursiv)
- [ ] DFS with adjacency matrix (iterative with stack) - [ ] DFS mit Adjazenzmatrix(iterativ mit Stack)
- [ ] BFS with adjacency list - [ ] BFS mit Adjazenzliste
- [ ] BFS with adjacency matrix - [ ] BFS mit Adjazenzmatrix
- [ ] single-source shortest path (Dijkstra) - [ ] Kürzester Pfad (Dijkstra)
- [ ] minimum spanning tree - [ ] minimaler Spannbaum
- DFS-based algorithms (see Aduni videos above): - DFS-basierte Algorithmen (siehe Aduni Videos oben):
- [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - [ ] auf Zyklus prüfen (für Topologische Sortierung benötigt, wir prüfen auf Zyklen bevor wir anfangen)
- [ ] topological sort - [ ] Topologische Sortierung
- [ ] count connected components in a graph - [ ] zähle Zusammenhangskomponenten in einen Graph
- [ ] list strongly connected components - [ ] liste starke Zusammenhangskomponenten auf
- [ ] check for bipartite graph - [ ] prüfe ob es ein bipartiter Graph ist
</details> </details>
## Even More Knowledge ## Noch mehr
<details> <details>
<summary>Even More Knowledge</summary> <summary>Noch mehr</summary>
- ### Recursion - ### Rekursion
- [ ] Stanford lectures on recursion & backtracking: - [ ] Stanford Vorlesung über Recursion und Backtracking:
- [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8)
- [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9)
- [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69)
- [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11)
- when it is appropriate to use it - wann sollte man es benutzen
- how is tail recursion better than not? - Wann ist Endrekursion gut?
- [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad)
- [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc)
- ### Dynamic Programming - ### Dynamische Programming
- You probably won't see any dynamic programming problems in your interview, but it's worth being able to recognize a problem as being a candidate for dynamic programming. - Wahrscheinlich wirst du im Vorstellungsgespräch nichts mit dynamischer Programmierung zu tun haben, aber es ist wert zu erkennen wann ein Problem für dynaische Programmierung geeignet ist.
- This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - Dieses Thema kann ziemlich schwer sein. Jedes DP Problem muss als Rekursion dargestellt werden, und darauf zu kommen kann schwer sein.
- I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - Ich schlage vor, dass man sich viele DP Probleme ansieht bis man ein gutes Verständnis vom zugrundeliegenden Muster hat.
- [ ] Videos: - [ ] Videos:
- the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - die Skiena Videos kann man manchmal schwer folgen, weil er manchmal auf einer Tafel schreibt was zu klein zum Lesen ist
- [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718)
- [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749)
- [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406)
- [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22)
- [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - [ ] [Simonson: Dynamic Programming 0 (fängt an bei 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558)
- [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
- [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12)
- [ ] List of individual DP problems (each is short): - [ ] Liste einzelnen DP Problemen (jedes Problem ist klein):
[Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
- [ ] Yale Lecture notes: - [ ] Yale Vorlesungsnotizen:
- [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming)
- [ ] Coursera: - [ ] Coursera:
- [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem)
@ -994,71 +994,71 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment)
- [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment)
- ### Object-Oriented Programming - ### Objekt-Orientierte Programmierung
- [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc)
- [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos):
- Can skip this if you have a great grasp of OO and OO design practices. - kann man überspringen wenn man gutes Wissen über OO und OO Design Patterns hat
- [OOSE: Software Dev Using UML and Java (video)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [OOSE: Software Dev Using UML and Java (video)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
- [ ] SOLID OOP Prinzipien: - [ ] SOLID OOP Prinzipien:
- [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE)
- [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A)
- [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html)
- [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - [mehr dazu](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk)
- [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle)
- [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [mehr dazu](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en)
- [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow IS A principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow IS A principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle)
- [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - [mehr dazu](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en)
- [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use
- [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ)
- [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - [mehr dazu](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en)
- [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects.
- [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important)
- [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - [mehr dazu](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en)
- ### Design patterns - ### Design Patterns (Entwurfsmuster)
- [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
- [ ] Learn these patterns: - [ ] Learn diese Patterns:
- [ ] strategy - [ ] Strategy
- [ ] singleton - [ ] Singleton
- [ ] adapter - [ ] Adapter
- [ ] prototype - [ ] Prototype
- [ ] decorator - [ ] Decorator
- [ ] visitor - [ ] Visitor (Besucher)
- [ ] factory, abstract factory - [ ] Factory (Fabrik), abstract factory (abstrakte Fabrik)
- [ ] facade - [ ] Facade
- [ ] observer - [ ] Observer (Beobachter)
- [ ] proxy - [ ] Proxy
- [ ] delegate - [ ] Delegate
- [ ] command - [ ] Command
- [ ] state - [ ] State
- [ ] memento - [ ] Memento
- [ ] iterator - [ ] Iterator
- [ ] composite - [ ] Composite
- [ ] flyweight - [ ] Flyweight (Fliegengewicht)
- [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
- [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
- [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
- [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
- [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124)
- I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - Ich weiß das anerkannte Buch ist "Design Patterns: Elements of Reusable Object-Oriented Software", aber Head First ist großartig wenn man mit OO einsteigt.
- [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips)
- [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns)
- ### Combinatorics (n choose k) & Probability - ### Kombinatorik (n über k) und Wahrscheinlichkeit
- [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U)
- [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4)
- [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ)
- [ ] Khan Academy: - [ ] Khan Academy:
- Course layout: - Kursstruktur:
- [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic)
- Just the videos - 41 (each are simple and each are short): - Nur die Videos - 41 (jedes ist kurz und leicht zu verstehen):
- [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19)
- ### NP, NP-Complete and Approximation Algorithms - ### NP, NP-vollständig und Heuristiken
- Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - Kenne die bekanntesten NP-vollständigen Probleme, wie z.B. Traveling Salesman und das Rucksackproblem,
and be able to recognize them when an interviewer asks you them in disguise. und sei in der Lage die zu erkennen wenn ein Interviewer heimlich danach frägt.
- Know what NP-complete means. - Wissen was NP-vollständig bedeutet.
- [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23)
- [ ] Simonson: - [ ] Simonson:
- [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939)
@ -1072,9 +1072,9 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22)
- [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24)
- [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
- Peter Norvig discusses near-optimal solutions to traveling salesman problem: - Peter Norvig beschreibt annähernd optimale Lösungen für das Traveling Salesman Problem:
- [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb)
- Pages 1048 - 1140 in CLRS if you have it. - Seite 1048 - 1140 in CLRS falls man es besitzt.
- ### Caches - ### Caches
- [ ] LRU cache: - [ ] LRU cache:
@ -1085,49 +1085,49 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24)
- [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)
- ### Processes and Threads - ### Prozesse und Threads
- [ ] Computer Science 162 - Operating Systems (25 videos): - [ ] Computer Science 162 - Operating Systems (25 videos):
- for processes and threads see videos 1-11 - für Prozesse und Threads siehe Videos 1-11
- [Operating Systems and System Programming (video)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - [Operating Systems and System Programming (video)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)
- [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread)
- Covers: - behandelt:
- Processes, Threads, Concurrency issues - Prozesse, Threads, Concurrency issues (Probleme von Parallelität)
- difference between processes and threads - Unterschied zwischen Prozessen und Threads
- processes - Prozesse
- threads - Threads
- locks - Locks
- mutexes - Mutexe
- semaphores - Semaphoren
- monitors - Monitore
- how they work - wie sie funtionieren
- deadlock - Deadlock
- livelock - Livelock
- CPU activity, interrupts, context switching - CPU Äktivität, Interrupts, Kontextwechsel
- Modern concurrency constructs with multicore processors - Moderne Parallelität mit Multicore Prozessoren
- [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2)
- [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3)
- [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8)
- Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - Prozess-Ressourcenverwaltung (Speicher: Code, statischer Speicher, Stack, Heap, und auch Datei-Handle, I/O)
- Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - Thread-Ressourcenverwaltung (teilt sich das obere (minus Stack) mit anderen Threads in selben Prozess aber jeder mit einzelnen Befehlszähler, Stackzähler, Registern, und Stack)
- Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - Forking ist einfach Copy on Write (nur lesend) bis der neue Prozess in den Speicher schreibt, dann wird eine komplette Kopie erstellt.
- Context switching - Kontextwechsel
- How context switching is initiated by the operating system and underlying hardware - Wie wird Kontextwechsel vom Betriebssystem und der zugrundeliegenden Hardware gehandhabt
- [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
- [ ] concurrency in Python (videos): - [ ] Parallelität in Python (Videos):
- [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1)
- [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM)
- [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s)
- [reference](http://www.dabeaz.com/GIL) - [Referenz](http://www.dabeaz.com/GIL)
- [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4)
- [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU)
- [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY)
- ### Testing - ### Testen
- To cover: - zu behandeln:
- how unit testing works - wie Unit Tests funktionieren
- what are mock objects - was sind Mockobjekte
- what is integration testing - was ist ein Integration Test
- what is dependency injection - Was ist dependency injection
- [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U)
- [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU)
- [ ] [Steve Freeman - Test-Driven Development (thats not what we meant) (video)](https://vimeo.com/83960706) - [ ] [Steve Freeman - Test-Driven Development (thats not what we meant) (video)](https://vimeo.com/83960706)
@ -1142,10 +1142,10 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html)
- ### Scheduling - ### Scheduling
- in an OS, how it works - in einen Betriebssystem, wie funktioniert es
- can be gleaned from Operating System videos - kann von Betriebssystem Videos gelernt werden
- ### String searching & manipulations - ### Stringsuche und -manipulation
- [ ] [Sedgewick - Suffix Arrays (video)](https://www.coursera.org/learn/algorithms-part2/lecture/TH18W/suffix-arrays) - [ ] [Sedgewick - Suffix Arrays (video)](https://www.coursera.org/learn/algorithms-part2/lecture/TH18W/suffix-arrays)
- [ ] [Sedgewick - Substring Search (videos)](https://www.coursera.org/learn/algorithms-part2/home/week/4) - [ ] [Sedgewick - Substring Search (videos)](https://www.coursera.org/learn/algorithms-part2/home/week/4)
- [ ] [1. Introduction to Substring Search](https://www.coursera.org/learn/algorithms-part2/lecture/n3ZpG/introduction-to-substring-search) - [ ] [1. Introduction to Substring Search](https://www.coursera.org/learn/algorithms-part2/lecture/n3ZpG/introduction-to-substring-search)
@ -1161,12 +1161,12 @@ Graphs can be used to represent many problems in computer science, so this secti
- Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits
to track the path. to track the path.
- I read through code, but will not implement. - I read through code, but will not implement.
- [ ] [Sedgewick - Tries (3 videos)](https://www.coursera.org/learn/algorithms-part2/home/week/4) - [ ] [Sedgewick - Tries (3 Videos)](https://www.coursera.org/learn/algorithms-part2/home/week/4)
- [ ] [1. R Way Tries](https://www.coursera.org/learn/algorithms-part2/lecture/CPVdr/r-way-tries) - [ ] [1. R Way Tries](https://www.coursera.org/learn/algorithms-part2/lecture/CPVdr/r-way-tries)
- [ ] [2. Ternary Search Tries](https://www.coursera.org/learn/algorithms-part2/lecture/yQM8K/ternary-search-tries) - [ ] [2. Ternary Search Tries](https://www.coursera.org/learn/algorithms-part2/lecture/yQM8K/ternary-search-tries)
- [ ] [3. Character Based Operations](https://www.coursera.org/learn/algorithms-part2/lecture/jwNmV/character-based-operations) - [ ] [3. Character Based Operations](https://www.coursera.org/learn/algorithms-part2/lecture/jwNmV/character-based-operations)
- [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries)
- [ ] Short course videos: - [ ] Kurze Kursvideos:
- [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries)
- [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries)
- [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie)
@ -1244,7 +1244,7 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html)
- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk)
- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/)
- [ ] Consensus Algorithms: - [ ] Consensus Algorithmen:
- [ ] Paxos - [Paxos Agreement - Computerphile (video)](https://www.youtube.com/watch?v=s8JqcZtvnsM) - [ ] Paxos - [Paxos Agreement - Computerphile (video)](https://www.youtube.com/watch?v=s8JqcZtvnsM)
- [ ] Raft - [An Introduction to the Raft Distributed Consensus Algorithm (video)](https://www.youtube.com/watch?v=P9Ydif5_qvE) - [ ] Raft - [An Introduction to the Raft Distributed Consensus Algorithm (video)](https://www.youtube.com/watch?v=P9Ydif5_qvE)
- [ ] [Easy-to-read paper](https://raft.github.io/) - [ ] [Easy-to-read paper](https://raft.github.io/)
@ -1252,7 +1252,7 @@ Graphs can be used to represent many problems in computer science, so this secti
- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
- [ ] Skalierbarkeit: - [ ] Skalierbarkeit:
- You don't need all of these. Just pick a few that interest you. - Das braucht man nicht alles. Sucht euch einfach die paar Themen raus die euch interessieren.
- [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
- [ ] Kurzreihen: - [ ] Kurzreihen:
- [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones)
@ -1916,7 +1916,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo
- [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression)
- [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional)
- [ ] **More Dynamic Programming** (videos) - [ ] **Mehr Dynamische Programmierung** (Videos)
- [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19)
- [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20)
- [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21)
@ -1981,7 +1981,7 @@ Lehn dich zurück und genieße. "Netflix and skill" :P
<details> <details>
<summary>Videoreihen</summary> <summary>Videoreihen</summary>
- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - [ ] [Liste einzelnen Dynamische Programmierung Probleme (jedes ist kurz)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) - [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0)
@ -1996,7 +1996,7 @@ Lehn dich zurück und genieße. "Netflix and skill" :P
- [ ] [Discrete Mathematics Part 1 von Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) - [ ] [Discrete Mathematics Part 1 von Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo)
- [ ] CSE373 - Analysis of Algorithms (25 videos) - [ ] CSE373 - Analysis of Algorithms (25 videos)
- [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) - [Skiena Vorlesungen vom Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1)
- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd)
@ -2035,7 +2035,7 @@ Lehn dich zurück und genieße. "Netflix and skill" :P
- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02)
- [ ] [Introduction to Cryptography von Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - [ ] [Introduction to Cryptography von Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy)
- [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) - [KurswWebseite mit Folien und Problemstellungen](http://www.crypto-textbook.com/)
- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) - [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV)
@ -2043,10 +2043,10 @@ Lehn dich zurück und genieße. "Netflix and skill" :P
</details> </details>
## Computer Science Courses ## Informatikkurse
- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Liste von Online Informatkkursen](https://github.com/open-source-society/computer-science)
- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - [Liste von Informatkkursen (viele mit Online Vorlesungen)](https://github.com/prakhar1989/awesome-courses)
## Paper (Wissenschaftliche Artikel) ## Paper (Wissenschaftliche Artikel)