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
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Programa especializado: Fundamentals of ComputingUniversidad RiceAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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Curso 5 de 7 en
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Griego, Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish), Telugu
Habilidades que obtendrás
- Graph Theory
- Algorithms
- Python Programming
- Graph Algorithms
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
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
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Griego, Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), 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
4 horas para completar
Modules 1 - Project and Application
Graph representations, plotting, analysis of citation graphs
4 horas para completar
3 lecturas
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)
3 horas para completar
Module 2 - Project and Application
Connected components, graph resilience, and analysis of computer networks
3 horas para completar
3 lecturas
Reseñas
Principales reseñas sobre ALGORITHMIC THINKING (PART 1)
por RQ29 de may. de 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 OT28 de sep. de 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 MR16 de sep. de 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 MN7 de mar. de 2018
This is where computer science truly starts, without the excessive preliminary math that usually scares most people away. Great course!
Acerca de Programa especializado: Fundamentals of Computing
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. 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.
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