link
Source : www.coursera.org
list
6 séquences
assignment
Niveau : Introductif
chat_bubble_outline
Langue : Anglais
card_giftcard
240 points
Avis de la communauté
Les infos clés
credit_card
Formation gratuite
verified_user
Certification gratuite
timer
30 heures de cours
En résumé
In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.
more_horiz
Lire plus
more_horiz
Lire moins
dns
Le programme
Week 1: Introduction. Asymptotic analysis including big-oh notation. Divide-and-conquer algorithms for sorting, counting inversions, matrix multiplication, and closest pair.
Week 2: Running time analysis of divide-and-conquer algorithms. The master method. Introduction to randomized algorithms, with a probability review. QuickSort.
Week 3: More on randomized algorithms and probability. Computing the median in linear time. A randomized algorithm for the minimum graph cut problem.
Week 4: Graph primitives. Depth- and breadth-first search. Connected components in undirected graphs. Topological sort in directed acyclic graphs. Strongly connected components in directed graphs.
Week 5: Dijkstra's shortest-path algorithm. Introduction to data structures. Heaps and applications.
Week 6: Further data structures. Hash tables and applications. Balanced binary search trees.
Week 2: Running time analysis of divide-and-conquer algorithms. The master method. Introduction to randomized algorithms, with a probability review. QuickSort.
Week 3: More on randomized algorithms and probability. Computing the median in linear time. A randomized algorithm for the minimum graph cut problem.
Week 4: Graph primitives. Depth- and breadth-first search. Connected components in undirected graphs. Topological sort in directed acyclic graphs. Strongly connected components in directed graphs.
Week 5: Dijkstra's shortest-path algorithm. Introduction to data structures. Heaps and applications.
Week 6: Further data structures. Hash tables and applications. Balanced binary search trees.
record_voice_over
Les intervenants
- Tim Roughgarden - Computer Science
store
Le concepteur

The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
assistant
La plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.
Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.
Avis de la communauté
4.8
/5
Moyenne
starstarstarstarstar
1
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
Contenu
5/5
Plateforme
4.5/5
Animation
5/5
Vous êtes le concepteur de ce MOOC ?
keyboard_arrow_left
grade
keyboard_arrow_right
Intégrez le module d’évaluation