This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.
Ofrecido Por
Algorithms, Part II
Universidad de PrincetonAcerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosHabilidades que obtendrás
- Graphs
- Data Structure
- Algorithms
- Data Compression
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Introduction
Undirected Graphs
Directed Graphs
Minimum Spanning Trees
Shortest Paths
Maximum Flow and Minimum Cut
Radix Sorts
Tries
Substring Search
Reseñas
- 5 stars93,87 %
- 4 stars5,02 %
- 3 stars0,44 %
- 2 stars0,27 %
- 1 star0,38 %
Principales reseñas sobre ALGORITHMS, PART II
Another great course and perfect follow-up to Algorithms Part 1. I liked that we used the algorithms built in the first part to make other powerful algorithms and tools.
Essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.
Excellent course that provides a good introduction to more advanced algorithms that build on those presented in part 1 of the course. Thank you Professor Sedgewick and Kevin Wayne.
I wrote my review on Linkedin. Thank you very much for the great course ! https://www.linkedin.com/pulse/algorithms-part-ii-mission-accomplished-luigi-selmi/
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Cuándo podré acceder a las lecciones y tareas?
Do I need to pay for this course?
Can I earn a certificate in this course?
I have no familiarity with Java programming. Can I still take this course?
Which algorithms and data structures are covered in this course?
What kinds of assessments are available in this course?
I am/was not a Computer Science major. Is this course for me?
How does this course differ from Design and Analysis of Algorithms?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.