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.
提供方
计算机基础 專項課程莱斯大学課程信息
14,199 次近期查看
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 5 門課程（共 7 門）
中級
完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 希臘語, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）, 泰盧固語
您將獲得的技能
- Graph Theory
- Algorithms
- Python Programming
- Graph Algorithms
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 5 門課程（共 7 門）
中級
完成時間大約為12 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 希臘語, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）, 泰盧固語
提供方
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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 4 小時
Module 1 - Core Materials
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
完成時間為 4 小時
15 個視頻 （總計 180 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 4 小時
Modules 1 - Project and Application
Graph representations, plotting, analysis of citation graphs
完成時間為 4 小時
3 個閱讀材料
完成時間為 2 小時
Module 2 - Core Materials
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
完成時間為 2 小時
9 個視頻 （總計 109 分鐘）
完成時間為 3 小時
Module 2 - Project and Application
Connected components, graph resilience, and analysis of computer networks
完成時間為 3 小時
3 個閱讀材料
審閱
來自算法思想（第 1 部分）的熱門評論
由 RQ 提供2016年5月29日
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.
由 OT 提供2018年9月28日
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.
由 MR 提供2019年9月16日
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.
由 MN 提供2018年3月7日
This is where computer science truly starts, without the excessive preliminary math that usually scares most people away. Great course!
關於 计算机基础 專項課程
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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