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.
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课程信息
您将获得的技能
- Algorithms
- Python Programming
- Algorithmic Efficiency
- Dynamic Programming
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莱斯大学
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.
授课大纲 - 您将从这门课程中学到什么
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
审阅
- 5 stars81.77%
- 4 stars10.83%
- 3 stars3.94%
- 2 stars2.46%
- 1 star0.98%
来自算法思想(第 2 部分)的热门评论
You cannot get easy answers for homework and it pushes you to think hard.
This is a challenging course that teaches an invaluable problem solving approach, applicable in many domains.
Another fantastic course from the team at Rice - thanks guys!
Super good, challenging course that forces you to think.
关于 计算机基础 专项课程
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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