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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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
- 5 stars78,09 %
- 4 stars14,98 %
- 3 stars3,17 %
- 2 stars1,44 %
- 1 star2,30 %
Principales reseñas sobre ALGORITHMIC THINKING (PART 1)
por VK25 de jul. de 2018
Course and assignments were very well thought out and informative.
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 YA10 de oct. de 2017
This is Wonderful and simpler explained course that is detailed with 'learner's requirement'.
por GJ13 de may. de 2016
Project is interesting, bu the video lecture is kind of repetitive and does not cover much
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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