Acerca de este curso: 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).
Para quién es esta clase: 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.
Creada por: Universidad de Stanford
Enseñado por: Tim Roughgarden, Professor
Computer Science
| Información básica | Curso 2 de 4 en Algorithms Specialization |
| Nivel | Intermediate |
| Compromiso | 4 weeks of study, 4-8 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Week 1
Breadth-first and depth-first search; computing strong components; applications.
9 videos, 4 readings
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Vídeo: Graph Search - Overview
- Vídeo: Breadth-First Search (BFS): The Basics
- Vídeo: BFS and Shortest Paths
- Vídeo: BFS and Undirected Connectivity
- Vídeo: Depth-First Search (DFS): The Basics
- Vídeo: Topological Sort
- Vídeo: Computing Strong Components: The Algorithm
- Vídeo: Computing Strong Components: The Analysis
- Vídeo: Structure of the Web [Optional]
- Reading: Optional Theory Problems (Week 1)
Calificado: Problem Set #1
Calificado: Programming Assignment #1
SEMANA 2
Week 2
Dijkstra's shortest-path algorithm.
4 videos, 2 readings
- Reading: Week 2 Overview
- Vídeo: Dijkstra's Shortest-Path Algorithm
- Vídeo: Dijkstra's Algorithm: Examples
- Vídeo: Correctness of Dijkstra's Algorithm
- Vídeo: Dijkstra's Algorithm: Implementation and Running Time
- Reading: Optional Theory Problems (Week 2)
Calificado: Problem Set #2
Calificado: Programming Assignment #2
SEMANA 3
Week 3
Heaps; balanced binary search trees.
9 videos, 1 reading
- Reading: Week 3 Overview
- Vídeo: Data Structures: Overview
- Vídeo: Heaps: Operations and Applications
- Vídeo: Heaps: Implementation Details [Advanced - Optional]
- Vídeo: Balanced Search Trees: Operations and Applications
- Vídeo: Binary Search Tree Basics, Part I
- Vídeo: Binary Search Tree Basics, Part II
- Vídeo: Red-Black Trees
- Vídeo: Rotations [Advanced - Optional]
- Vídeo: Insertion in a Red-Black Tree [Advanced]
Calificado: Problem Set #3
Calificado: Programming Assignment #3
SEMANA 4
Week 4
Hashing; bloom filters.
9 videos, 3 readings
- Reading: Week 4 Overview
- Vídeo: Hash Tables: Operations and Applications
- Vídeo: Hash Tables: Implementation Details, Part I
- Vídeo: Hash Tables: Implementation Details, Part II
- Vídeo: Pathological Data Sets and Universal Hashing Motivation
- Vídeo: Universal Hashing: Definition and Example [Advanced - Optional]
- Vídeo: Universal Hashing: Analysis of Chaining [Advanced - Optional]
- Vídeo: Hash Table Performance with Open Addressing [Advanced - Optional]
- Vídeo: Bloom Filters: The Basics
- Vídeo: Bloom Filters: Heuristic Analysis
- Reading: Optional Theory Problems (Week 4)
- Reading: Info and FAQ for final exam
Calificado: Problem Set #4
Calificado: Programming Assignment #4
Calificado: Final Exam
Preguntas Frecuentes
Cómo funciona
Coursework
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Creadores
Universidad 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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
Amazing course! Tim Roughgarden is an exceptional teacher! I'm really enjoying reviewing this algorithms and data structures topics
I think this was the best course of the specialization. Stacks, queues, heaps, search trees, hash tables etc. are data structures everyone should know; when to use and their raison d'etre as he says.. and to that end this course is very effective. This course also has a very nice flow. And of course, Prof. Tim Roughgarden is simply awesome. I wish I got a chance to be in his offline classroom.
Good course, but instructor does start to move fast and a few walk-throughs in certain spots would be beneficial . However the lack of it makes you do your own research, which is also beneficial.
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This course is very good! The professor explain the algorithms in detail , and the programming assignment is challenging！Highly recommend!