- 来自www.xuetangx.com
计算思维和数据科学导论
课程
zh
中文
此内容评级为 0/5
- 等级 介绍
课程详情
教学大纲
- Overview
- EdX Introduction
- Entrance Survey
- Important Preliminary Survey
- Week 1
- Welcome!
- Lecture 1 - Plotting
- Problem Set 1
- Week 2
- Lecture 2 - Simulations and Random Walks
- Problem Set 2
- Week 3
- Lecture 3 - Probability and Hashing
- Lecture 4 - Stochastic Programming and Statistical Thinking
- Week 4
- Lecture 5 - Monte Carlo Simulations
- Lecture 6 - Using Randomness to Solve Non-Random Problems
- Problem Set 3
- Week 5
- Lecture 7 - Curve Fitting
- Problem Set 4
- Quiz
- Quiz
- Quiz Code Graders
- Week 6
- Lecture 8 - Knapsack Problem
- Lecture 9 - Graphs and Graph Optimization
- Problem Set 5
- Week 7
- Lecture 10 - More on Graphs
- Lecture 11 - Machine Learning
- Problem Set 6
- Week 8
- Lecture 12 - More on Machine Learning
- Lecture 13 - Statistical Fallacies
- Summary
- Week 9
- Guest Lectures - Research Videos
- Bonus Content - Dynamic Programming (not tested)
- Exit Survey
- Important Exit Survey
- Final Exam
- Final Exam
- Final Exam Code Graders
- Sandbox
- What is the Sandbox?
- Practice - Problem Set 2
- Practice - Problem Set 3
- Practice - Problem Set 5
- Practice - Problem Set 6
- EXTRA Week 5
- Problem Set 10
- Statistical Fallacies
- Optimization Problems
- Exceptions
- Test
- EXTRA Week 7
- Plotting
- Simulations and Random Walks
- Problem Set 7
- EXTRA Week 8
- Sampling and Monte Carlo Methods
- Statistical Thinking
- Problem Set 8
- EXTRA Week 9
- Using Randomness to Solve Non-Random Problems
- Curve Fitting
- Problem Set 9
- EXTRA Week 11
- More On Graphs
- Dynamic Programming
- Problem Set 11
- EXTRA Week 13
- Summary
- Staff Use
- OLD Chris Terman
- Objects
- OOP
- Trees
- OLD Midterm Exam 1
- Midterm Exam 1
- Midterm Exam Code Graders
- OLD Midterm Exam 2
- Midterm Exam 2
- Midterm Exam Code Graders
- OLD Final Exam
- Final Exam
- Final Exam
- Final Exam Code Graders
- Past Problem Sets
- Old Exams
先决条件
没有。
讲师
- Eric Grimson
平台
慕华（北京）网络技术有限公司旗下的学堂在线是免费公开的MOOC（大规模开放在线课程）平台，是教育部在线教育研究中心的研究交流和成果应用平台，致力于通过来自国内外一流名校开设的免费网络学习课程，为公众提供系统的高等教育，让每一个中国人都有机会享受优质教育资源。通过和清华大学在线教育研究中心、以及国内外知名大学的紧密合作，学堂在线将不断增加课程的种类和丰富程度。
此内容评级为 4.5/5
(没有评论)此内容评级为 4.5/5
(没有评论)完成这个资源，写一篇评论