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 class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to 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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Curso 6 de 7 en
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Algorithms
- Python Programming
- Algorithmic Efficiency
- Dynamic Programming
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 6 de 7 en
Nivel intermedio
Aprox. 12 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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
3 horas para completar
Module 3 - Core Materials
Sorting, searching, big-O notation, the Master Theorem
3 horas para completar
13 videos (Total 147 minutos), 2 lecturas, 1 cuestionario
4 horas para completar
Module 3 - Project and Application
Closest pairs of points, clustering of points, comparison of clustering algorithms
4 horas para completar
4 lecturas
2 horas para completar
Module 4 - Core Materials
Dynamic programming, running time of DP algorithms, local and global sequence alignment
2 horas para completar
7 videos (Total 87 minutos)
3 horas para completar
Module 4 - Project and Application
Computation of sequence alignments, applications to genomics and text comparison
3 horas para completar
1 video (Total 8 minutos), 3 lecturas, 2 cuestionarios
Reseñas
Principales reseñas sobre ALGORITHMIC THINKING (PART 2)
por RL24 de mar. de 2018
Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.
por JO28 de abr. de 2018
Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.
por KL16 de nov. de 2016
This is a challenging course that teaches an invaluable problem solving approach, applicable in many domains.
por TY12 de may. de 2018
Great course! Definitely learned a lot from the process of doing projects
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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