À propos de ce cours : The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
Les destinataires de ce cours : Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year.
Créé par : Université de Stanford
Enseigné par : Tim Roughgarden, Professor
Computer Science
| Informations de base | Cours 2 de 4 dans Algorithms Specialization |
| Niveau | Intermédiaire |
| Engagement | 4 weeks of study, 4-8 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Week 1
Breadth-first and depth-first search; computing strong components; applications.
9 vidéos, 4 lectures
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Vidéo: Breadth-First Search (BFS): The Basics
- Vidéo: BFS and Shortest Paths
- Vidéo: BFS and Undirected Connectivity
- Vidéo: Depth-First Search (DFS): The Basics
- Vidéo: Topological Sort
- Vidéo: Computing Strong Components: The Algorithm
- Vidéo: Computing Strong Components: The Analysis
- Vidéo: Structure of the Web [Optional]
- Reading: Optional Theory Problems (Week 1)
Noté: Problem Set #1
Noté: Programming Assignment #1
SEMAINE 2
Week 2
Dijkstra's shortest-path algorithm.
4 vidéos, 2 lectures
- Reading: Week 2 Overview
- Vidéo: Dijkstra's Algorithm: Examples
- Vidéo: Correctness of Dijkstra's Algorithm
- Vidéo: Dijkstra's Algorithm: Implementation and Running Time
- Reading: Optional Theory Problems (Week 2)
Noté: Problem Set #2
Noté: Programming Assignment #2
SEMAINE 3
Week 3
Heaps; balanced binary search trees.
9 vidéos, 1 lecture
- Reading: Week 3 Overview
- Vidéo: Heaps: Operations and Applications
- Vidéo: Heaps: Implementation Details [Advanced - Optional]
- Vidéo: Balanced Search Trees: Operations and Applications
- Vidéo: Binary Search Tree Basics, Part I
- Vidéo: Binary Search Tree Basics, Part II
- Vidéo: Red-Black Trees
- Vidéo: Rotations [Advanced - Optional]
- Vidéo: Insertion in a Red-Black Tree [Advanced]
Noté: Problem Set #3
Noté: Programming Assignment #3
SEMAINE 4
Week 4
Hashing; bloom filters.
9 vidéos, 3 lectures
- Reading: Week 4 Overview
- Vidéo: Hash Tables: Implementation Details, Part I
- Vidéo: Hash Tables: Implementation Details, Part II
- Vidéo: Pathological Data Sets and Universal Hashing Motivation
- Vidéo: Universal Hashing: Definition and Example [Advanced - Optional]
- Vidéo: Universal Hashing: Analysis of Chaining [Advanced - Optional]
- Vidéo: Hash Table Performance with Open Addressing [Advanced - Optional]
- Vidéo: Bloom Filters: The Basics
- Vidéo: Bloom Filters: Heuristic Analysis
- Reading: Optional Theory Problems (Week 4)
- Reading: Info and FAQ for final exam
Noté: Problem Set #4
Noté: Programming Assignment #4
Noté: Final Exam
FAQ
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Créateurs
Université de Stanford
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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Excellent course!
Provided great insight into algorithms
This is an excellent course! It is well explained and I would recommend it to anyone interested in algorithms and data structures covered in this course.
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JB
This course was much harder than the first one. Plan to spend extra time doing the assignments. However, it is totally worth it!