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爬犁腿 评论了课程: Linear Circuits 2014-03-16 10:04 这门课是面向非电类学生的普及性课程，很简单，不涉及复杂数学，如瞬态响应的常微分方程，直接给出通解。每章介绍了一些实际应用。
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爬犁腿 评论了课程: 中医药与中华传统文化 Traditional Chinese Medicine and Chinese Culture 2014-03-15 00:49 Dec 1, 2013 ~ Mar 15, 2014
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爬犁腿 评论了课程: Linear and Integer Programming 2013-11-16 22:17 轮次：Sep 2nd 2013
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爬犁腿 评论了课程: 2013-11-03 16:58 两位教授以对话形式，一问一答，向听众介绍中国历史。课程周期很长，从2013年10月末持续到2015年1月末。分为9大专题，以时间为主要脉络，穿插文化、军事、政治等元素。内容分配上厚今薄古，后4个专题讲述清末至今的中国历史。由于历史观的差异，我相信此课程会帮助我们从另一角度思考中国历史。
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Linear and Integer Programming (CourseraArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/linearprogramming 简介: This course will cover the very basic ideas in optimization. Topics include the basic theory and algorithms behind linear and integer linear programming along with some of the important applications. We will also explore the theory of convex polyhedra using linear programming. |
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Learn to Program: The Fundamentals (CourseraArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/programming1 简介: Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language. |
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An Introduction to Interactive Programming in Python (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/interactivepython 简介: This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids. |
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High Performance Scientific Computing (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/scicomp 简介: Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging. |
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機器學習基石 (Machine Learning Foundations) (CourseraArchive) 10 个评论 关注 开始时间: 04/22/2022 持续时间: 8 weeks 主页: https://www.coursera.org/course/ntumlone 简介: Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。] |
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紅樓夢 (The Red Chamber Dream) (CourseraArchive) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 7 weeks 主页: https://www.coursera.org/course/rcd 简介: 這門課是對中國小說經典《紅樓夢》的分析與詮釋，著重於認識讀者本身與經典間的關係，並從作者的時代背景與社會階層著手，重新剖析這部人所共愛、人各有所擁戴的經典之作。 |
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数学之旅 The Journey of Mathematics (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 6 weeks 主页: https://www.coursera.org/course/sjtuma153 简介: 课程从问题开始揭示一些数学思想形成的过程，和听众一起从思想上重走一遍前辈们走过的路，体会数学抽象的魅力。 In this course I share the processes which formed the core concepts of mathematical philosophy, walking with students as they experience, learn and enjoy mathematical abstraction. |
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Introduction to Astronomy (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/introastro 简介: An introduction to astronomy through a broad survey of what we know about the universe and how we know it. |
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Creative, Serious and Playful Science of Android Apps (CourseraArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 8 weeks 主页: https://www.coursera.org/course/androidapps101 简介: This course introduces the fundamental computer science principles that power today’s apps. You will also learn to create your own Android app using Java and standard software development tools. |
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CVX101: Convex Optimization (Stanford Online) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 未知 主页: https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/about 简介: This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance. |
