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.
ofrecido por


Acerca de este Curso
Resultados profesionales del estudiante
33%
33%
20%
Habilidades que obtendrás
Resultados profesionales del estudiante
33%
33%
20%
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
Module 3 - Core Materials
Sorting, searching, big-O notation, the Master Theorem
Module 3 - Project and Application
Closest pairs of points, clustering of points, comparison of clustering algorithms
Module 4 - Core Materials
Dynamic programming, running time of DP algorithms, local and global sequence alignment
Module 4 - Project and Application
Computation of sequence alignments, applications to genomics and text comparison
Reseñas
Principales reseñas sobre ALGORITHMIC THINKING (PART 2)
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.
Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.
This is a challenging course that teaches an invaluable problem solving approach, applicable in many domains.
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. 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?
¿Qué recibiré si me suscribo a este Programa especializado?
Is financial aid available?
¿Recibiré crédito universitario por completar el Curso?
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