Informações sobre o 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 quem é direcionado este curso: 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.
Desenvolvido por: Stanford University
Ministrado por: Tim Roughgarden, Professor
Computer Science
| Informações básicas | Curso 2 de 4 no Algorithms Specialization |
| Nível | Intermediário |
| Compromisso | 4 weeks of study, 4-8 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Week 1
Breadth-first and depth-first search; computing strong components; applications.
9 videos, 4 leituras
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- 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)
Nota atribuída: Problem Set #1
Nota atribuída: Programming Assignment #1
SEMANA 2
Week 2
Dijkstra's shortest-path algorithm.
4 videos, 2 leituras
- Reading: Week 2 Overview
- 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)
Nota atribuída: Problem Set #2
Nota atribuída: Programming Assignment #2
SEMANA 3
Week 3
Heaps; balanced binary search trees.
9 videos, 1 leituras
- Reading: Week 3 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]
Nota atribuída: Problem Set #3
Nota atribuída: Programming Assignment #3
SEMANA 4
Week 4
Hashing; bloom filters.
9 videos, 3 leituras
- Reading: Week 4 Overview
- 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
Nota atribuída: Problem Set #4
Nota atribuída: Programming Assignment #4
Nota atribuída: Final Exam
Perguntas frequentes
Como funciona
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Desenvolvedores
Stanford University
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
Very well-explained lectures!
Excellent Course. The professor has a certain way to explain difficult things and makes them look easy to us, students.
great fun!
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KS
This is an excellent course. Though the assignments are quite challenging, it is rewarding to complete them. Professor Roughgarden's explanations are wonderful.