Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.
Este curso forma parte de Programa Especializado - Fundamentals of Computing
Algorithmic Thinking (Part 1)
ofrecido por
Acerca de este Curso
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Resultados profesionales del estudiante
50%
comenzó una nueva carrera después de completar estos cursos
67%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 5 de 7 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 20 horas para completar
Sugerido: 4 weeks of study, 7-10 hours/week
Inglés (English)
Subtítulos: Griego, Coreano, Inglés (English), Español (Spanish), Telugu
Habilidades que obtendrás
Graph TheoryAlgorithmsPython ProgrammingGraph Algorithms
Resultados profesionales del estudiante
50%
comenzó una nueva carrera después de completar estos cursos
67%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 5 de 7 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 20 horas para completar
Sugerido: 4 weeks of study, 7-10 hours/week
Inglés (English)
Subtítulos: Griego, Coreano, Inglés (English), Español (Spanish), Telugu
ofrecido por
Universidad Rice
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Programa - Qué aprenderás en este curso
4 horas para completar
Module 1 - Core Materials
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
4 horas para completar
15 videos (Total 180 minutos), 2 lecturas, 1 cuestionario
15 videos
Class structure9m
Pseudo-code 11m
The small-world problem 11m
Graphs and representation 15m
Paths and distances 8m
Brute force 11m
What Is algorithm efficiency? 9m
Measuring efficiency 12m
Efficiency of brute force distance 14m
Number of steps of brute force distance 12m
Coding styles and standards - PoC11m
Machine grading - PoC10m
Plotting data - PoC14m
Peer assessment - "We want a shrubbery!" - IIPP15m
2 lecturas
Class notes10m
Coding notes10m
1 ejercicio de práctica
Homework #136m
5 horas para completar
Modules 1 - Project and Application
Graph representations, plotting, analysis of citation graphs
5 horas para completar
3 lecturas
3 lecturas
Project #1 Description10m
Application #1 Description10m
Application #1 Solution10m
2 horas para completar
Module 2 - Core Materials
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
2 horas para completar
9 videos (Total 109 minutos)
9 videos
Orders of growth 13m
Asymptotics12m
Illustrating "Big O"11m
Illustrating BFS 16m
Queues and boundary cases 8m
Pseudocode 12m
BFS running time - loose analysis 9m
BFS running time - tighter analysis 11m
BFS-based distance distribution 12m
1 ejercicio de práctica
Homework #236m
4 horas para completar
Module 2 - Project and Application
Connected components, graph resilience, and analysis of computer networks
4 horas para completar
3 lecturas
3 lecturas
Project #2 Description10m
Application #2 Description10m
Application #2 Solution10m
Revisiones
Principales revisiones sobre ALGORITHMIC THINKING (PART 1)
por RQMay 29, 2016
The content is great. I enjoyed learning about graph theory. The new platform is pretty frustrating, though. The discussion boards are not as vibrant as they were before the paywall.
por OTSep 28, 2018
very educational. I've learnt not only about graph theory but also how to use matplotlib and timeit libraries. The assignments were quite challengeable but rewarding.
por MRSep 16, 2019
The class is very useful, I already see the improvement in the codes that I write. And the assignments are very well-designed and truly helpful.
por MNMar 7, 2018
This is where computer science truly starts, without the excessive preliminary math that usually scares most people away. Great course!
por APSep 20, 2018
Some parts was hard and some not because of my own experience, in general very good course and only hard problems forces us to think.
por TYMay 12, 2018
very thoughtful course!\n\nnot easy by any means, but for sure learned a lot from the hard experience.
por RKAug 18, 2017
The project-based course structure works really well for the material. This was a great course!
por YAOct 10, 2017
This is Wonderful and simpler explained course that is detailed with 'learner's requirement'.
por GRJun 23, 2016
One of the best course offered by coursera, helps you to develop very strong basics if new,.
por ERNov 11, 2017
The course content is well structured and the instructors' explanation is clear and concise!
por GJMay 13, 2016
Project is interesting, bu the video lecture is kind of repetitive and does not cover much
por AMMar 21, 2018
A step up in difficulty from the previous modules in this specialisation.
por JCDec 10, 2017
The best course to study computer science and algorithm for beginner!
por VKJul 25, 2018
Course and assignments were very well thought out and informative.
por AFMar 4, 2018
Another fantastic course from the team at Rice - thank you!
por ABSep 20, 2017
Last assignment was a bit weird but great course otherwise!
Acerca de Programa especializado Fundamentals of Computing
This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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