Über diesen Kurs

117,116 kürzliche Aufrufe

Karriereergebnisse der Lernenden

30%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

24%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

15%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 55 Stunden zum Abschließen
Englisch
Untertitel: Englisch

Kompetenzen, die Sie erwerben

Graph TheoryGraphsGraph Algorithms

Karriereergebnisse der Lernenden

30%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

24%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

15%

erhalten Sie eine Gehaltserhöhung oder Beförderung
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 55 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

University of California San Diego-Logo

University of California San Diego

National Research University Higher School of Economics-Logo

National Research University Higher School of Economics

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up91%(7,698 Bewertungen)Info
Woche
1

Woche 1

4 Stunden zum Abschließen

Decomposition of Graphs 1

4 Stunden zum Abschließen
5 Videos (Gesamt 43 min), 3 Lektüren, 1 Quiz
5 Videos
Representing Graphs9m
Exploring Graphs14m
Connectivity5m
Previsit and Postvisit Orderings7m
3 Lektüren
Welcome10m
Slides and External References10m
Slides and External References10m
Woche
2

Woche 2

4 Stunden zum Abschließen

Decomposition of Graphs 2

4 Stunden zum Abschließen
4 Videos (Gesamt 36 min), 1 Lektüre, 1 Quiz
4 Videos
Topological Sort9m
Strongly Connected Components7m
Computing Strongly Connected Components10m
1 Lektüre
Slides and External References10m
Woche
3

Woche 3

4 Stunden zum Abschließen

Paths in Graphs 1

4 Stunden zum Abschließen
8 Videos (Gesamt 55 min), 1 Lektüre, 1 Quiz
8 Videos
Breadth-First Search7m
Breadth-First Search (continued)6m
Implementation and Analysis9m
Proof of Correctness7m
Proof of Correctness (continued)5m
Shortest-Path Tree6m
Reconstructing the Shortest Path3m
1 Lektüre
Slides and External References10m
Woche
4

Woche 4

5 Stunden zum Abschließen

Paths in Graphs 2

5 Stunden zum Abschließen
12 Videos (Gesamt 86 min), 2 Lektüren, 1 Quiz
12 Videos
Naive Algorithm10m
Dijkstra's Algorithm: Intuition and Example7m
Dijkstra's Algorithm: Implementation3m
Dijkstra's Algorithm: Proof of Correctness4m
Dijkstra's Algorithm: Running Time7m
Currency Exchange6m
Currency Exchange: Reduction to Shortest Paths8m
Bellman-Ford Algorithm6m
Bellman-Ford Algorithm: Proof of Correctness6m
Negative Cycles7m
Infinite Arbitrage10m
2 Lektüren
Slides and External References10m
Slides and External References10m

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Über den Spezialisierung Datenstrukturen und Algorithmen

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....
Datenstrukturen und Algorithmen

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