Informações sobre o curso: The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).
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 4 de 4 no Algorithms Specialization |
| Nível | Intermediate |
| 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
The Bellman-Ford algorithm; all-pairs shortest paths.
14 vídeos, 4 leituras
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture Slides
- Vídeo: Single-Source Shortest Paths, Revisted
- Vídeo: Optimal Substructure
- Vídeo: The Basic Algorithm I
- Vídeo: The Basic Algorithm II
- Vídeo: Detecting Negative Cycles
- Vídeo: A Space Optimization
- Vídeo: Internet Routing I [Optional]
- Vídeo: Internet Routing II [Optional]
- Vídeo: Problem Definition
- Vídeo: Optimal Substructure
- Vídeo: The Floyd-Warshall Algorithm
- Vídeo: A Reweighting Technique
- Vídeo: Johnson's Algorithm I
- Vídeo: Johnson's Algorithm II
- Reading: Optional Theory Problems (Week 1)
Nota atribuída: Problem Set #1
Nota atribuída: Programming Assignment #1
SEMANA 2
Week 2
NP-complete problems and exact algorithms for them.
11 vídeos, 2 leituras
- Reading: Week 2 Overview
- Vídeo: Polynomial-Time Solvable Problems
- Vídeo: Reductions and Completeness
- Vídeo: Definition and Interpretation of NP-Completeness I
- Vídeo: Definition and Interpretation of NP-Completeness II
- Vídeo: The P vs. NP Question
- Vídeo: Algorithmic Approaches to NP-Complete Problems
- Vídeo: The Vertex Cover Problem
- Vídeo: Smarter Search for Vertex Cover I
- Vídeo: Smarter Search for Vertex Cover II
- Vídeo: The Traveling Salesman Problem
- Vídeo: A Dynamic Programming Algorithm for TSP
- Reading: Optional Theory Problems (Week 2)
Nota atribuída: Problem Set #2
Nota atribuída: Programming Assignment #2
SEMANA 3
Week 3
Approximation algorithms for NP-complete problems.
6 vídeos, 1 leitura
- Reading: Week 3 Overview
- Vídeo: A Greedy Knapsack Heuristic
- Vídeo: Analysis of a Greedy Knapsack Heuristic I
- Vídeo: Analysis of a Greedy Knapsack Heuristic II
- Vídeo: A Dynamic Programming Heuristic for Knapsack
- Vídeo: Knapsack via Dynamic Programming, Revisited
- Vídeo: Ananysis of Dynamic Programming Heuristic
Nota atribuída: Problem Set #3
Nota atribuída: Programming Assignment #3
SEMANA 4
Week 4
Local search algorithms for NP-complete problems; the wider world of algorithms.
11 vídeos, 3 leituras
- Reading: Week 4 Overview
- Vídeo: The Maximum Cut Problem I
- Vídeo: The Maximum Cut Problem II
- Vídeo: Principles of Local Search I
- Vídeo: Principles of Local Search II
- Vídeo: The 2-SAT Problem
- Vídeo: Random Walks on a Line
- Vídeo: Analysis of Papadimitriou's Algorithm
- Vídeo: Stable Matching [Optional]
- Vídeo: Matchings, Flows, and Braess's Paradox [Optional]
- Vídeo: Linear Programming and Beyond [Optional]
- Vídeo: Epilogue
- 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
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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
Thanks a lot. It is time consuming, need a lot of thinking and practising to finish the homework. And it is worth taking. After this, we can go deep into cs.
unlike previous 3 courses
some of course 4's quiz problems are really difficult and not sure how to approach...
One of the best courses I've ever taken! Congrats!!!
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tough course