Acerca de este curso: The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
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: Stanford University
Enseñado por: Tim Roughgarden, Professor
Computer Science
| Información básica | Curso 3 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
Two motivating applications; selected review; introduction to greedy algorithms; a scheduling application; Prim's MST algorithm.
16 videos, 4 readings
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Vídeo: Application: Internet Routing
- Vídeo: Application: Sequence Alignment
- Vídeo: Introduction to Greedy Algorithms
- Vídeo: Application: Optimal Caching
- Vídeo: Problem Definition
- Vídeo: A Greedy Algorithm
- Vídeo: Correctness Proof - Part I
- Vídeo: Correctness Proof - Part II
- Vídeo: Handling Ties [Advanced - Optional]
- Vídeo: MST Problem Definition
- Vídeo: Prim's MST Algorithm
- Vídeo: Correctness Proof I
- Vídeo: Correctness Proof II
- Vídeo: Proof of Cut Property [Advanced - Optional]
- Vídeo: Fast Implementation I
- Vídeo: Fast Implementation II
- Reading: Optional Theory Problems (Week 1)
Calificado: Problem Set #1
Calificado: Programming Assignment #1
SEMANA 2
Week 2
Kruskal's MST algorithm and applications to clustering; advanced union-find (optional).
16 videos, 2 readings
- Reading: Week 2 Overview
- Vídeo: Kruskal's MST Algorithm
- Vídeo: Correctness of Kruskal's Algorithm
- Vídeo: Implementing Kruskal's Algorithm via Union-Find I
- Vídeo: Implementing Kruskal's Algorithm via Union-Find II
- Vídeo: MSTs: State-of-the-Art and Open Questions [Advanced - Optional]
- Vídeo: Application to Clustering
- Vídeo: Correctness of Clustering Algorithm
- Vídeo: Lazy Unions [Advanced - Optional]
- Vídeo: Union-by-Rank [Advanced - Optional]
- Vídeo: Analysis of Union-by-Rank [Advanced - Optional]
- Vídeo: Path Compression [Advanced - Optional]
- Vídeo: Path Compression: The Hopcroft-Ullman Analysis I [Advanced - Optional]
- Vídeo: Path Compression: The Hopcroft-Ullman Analysis II [Advanced - Optional]
- Vídeo: The Ackermann Function [Advanced - Optional]
- Vídeo: Path Compression: Tarjan's Analysis I [Advanced - Optional]
- Vídeo: Path Compression: Tarjan's Analysis II [Advanced - Optional]
- Reading: Optional Theory Problems (Week 2)
Calificado: Problem Set #2
Calificado: Programming Assignment #2
SEMANA 3
Week 3
Huffman codes; introduction to dynamic programming.
11 videos, 1 reading
- Reading: Week 3 Overview
- Vídeo: Introduction and Motivation
- Vídeo: Problem Definition
- Vídeo: A Greedy Algorithm
- Vídeo: A More Complex Example
- Vídeo: Correctness Proof I
- Vídeo: Correctness Proof II
- Vídeo: Introduction: Weighted Independent Sets in Path Graphs
- Vídeo: WIS in Path Graphs: Optimal Substructure
- Vídeo: WIS in Path Graphs: A Linear-Time Algorithm
- Vídeo: WIS in Path Graphs: A Reconstruction Algorithm
- Vídeo: Principles of Dynamic Programming
Calificado: Problem Set #3
Calificado: Programming Assignment #3
SEMANA 4
Week 4
Advanced dynamic programming: the knapsack problem, sequence alignment, and optimal binary search trees.
10 videos, 3 readings
- Reading: Week 4 Overview
- Vídeo: The Knapsack Problem
- Vídeo: A Dynamic Programming Algorithm
- Vídeo: Example [Review - Optional]
- Vídeo: Optimal Substructure
- Vídeo: A Dynamic Programming Algorithm
- Vídeo: Problem Definition
- Vídeo: Optimal Substructure
- Vídeo: Proof of Optimal Substructure
- Vídeo: A Dynamic Programming Algorithm I
- Vídeo: A Dynamic Programming Algorithm II
- 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
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creadores
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.
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
Very difficult! That's what heroes do.
Excellent Course. I really enjoyed it. Stretched my imagination and analytical capacity to new frontiers. The problems studied during the course stimulate you to learn more about new algorithms and coding, There's so much more to learn now. Many thanks to Professor Roughgarden and his team for making this available. Keep the great work!
I thought this course was kind of harder than the 2 previous one in the specialization (mainly the problems sets which require way more thinking)
It's a very good quality course to strenghten the basics, but in depth.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2018 Coursera Inc. Todos los derechos reservados.
Tim Roughgarden manages to turn a dry topic like "Algos" into a sexy hot one!!