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 I
Universidad de PrincetonAcerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Data Structure
- Algorithms
- Java Programming
¿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
Course Introduction
Union−Find
Analysis of Algorithms
Stacks and Queues
Elementary Sorts
Mergesort
Quicksort
Priority Queues
Elementary Symbol Tables
Reseñas
- 5 stars90,09 %
- 4 stars8,16 %
- 3 stars0,96 %
- 2 stars0,23 %
- 1 star0,53 %
Principales reseñas sobre ALGORITHMS, PART I
If you want to learn and explore more challenging parts of Algorithms, you should definitely learn this course. The experience and knowledge of the teacher is pretty obvious from the way he teaches.
The best online course I've taken so far. The autograder really does its job! The tests are so thorough that it always takes me several attempts to finish an assignment, but it is always worth it!
Incredible learning experience. Every programmer in industry should take this course if only to dispel the idea that with the advent of cloud computing exponential algorithms can still ruin your day!
Extremely well designed course. The assignments touch all the concepts taught in the class. Lot of concepts get clarified when you try to reach 100% on each assignment. Highly recommend this course.
Preguntas Frecuentes
¿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?
Which 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?
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