Scott Rixner 老师的公开课

Algorithmic Thinking (Coursera) 0 个评论 关注

开始时间: 08/25/2014 持续时间: 8 weeks

主页: https://www.coursera.org/course/algorithmicthink

简介: Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This 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.

Algorithmic Thinking (Part 1) (Coursera) 0 个评论 关注

开始时间: 01/16/2016 持续时间: 4 weeks

主页: https://www.coursera.org/course/algorithmicthink1

简介: 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.

Algorithmic Thinking (Part 2) (Coursera) 0 个评论 关注

开始时间: 02/20/2016 持续时间: 4 weeks

主页: https://www.coursera.org/course/algorithmicthink2

简介: 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.

An Introduction to Interactive Programming in Python (Coursera) 5 个评论 关注

开始时间: 待定 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.

An Introduction to Interactive Programming in Python (Part 1) (Coursera) 0 个评论 关注

开始时间: 01/09/2016 持续时间: 5 weeks

主页: https://www.coursera.org/course/interactivepython1

简介: This two-part 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.

An Introduction to Interactive Programming in Python (Part 2) (Coursera) 0 个评论 关注

开始时间: 02/20/2016 持续时间: 4 weeks

主页: https://www.coursera.org/course/interactivepython2

简介: This two-part 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.

Fundamentals of Computing Capstone Exam (Coursera) 0 个评论 关注

开始时间: 12/06/2014 持续时间: 2 weeks

主页: https://www.coursera.org/course/foccapstone

简介: The "Fundamentals of Computing" series concludes with a two-week course that reviews the series material and whose primary assessment is a cumulative "capstone" exam.

Principles of Computing (Coursera) 0 个评论 关注

开始时间: 06/09/2014 持续时间: 8 weeks

主页: https://www.coursera.org/course/principlescomputing

简介: This course introduces the basic mathematical and programming principles that underlie much of Computer Science. Student will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

Principles of Computing (Part 1) (Coursera) 0 个评论 关注

开始时间: 01/09/2016 持续时间: 5 weeks

主页: https://www.coursera.org/course/principlescomputing1

简介: This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Students will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

Principles of Computing (Part 2) (Coursera) 0 个评论 关注

开始时间: 02/20/2016 持续时间: 4 weeks

主页: https://www.coursera.org/course/principlescomputing2

简介: This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Students will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.