关键信息
关于内容
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack. Part 1 of this class will culminate in building a version of the classic arcade game "Asteroids". Upon completing this course, you will be able to write small, but interesting Python programs. The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs.
课程大纲
- Week 1 - Week 5 - Mouse input, list methods, dictionaries
Read mouse input, learn about list methods and dictionaries, draw images - Week 2 - Week 6 - Classes and object-oriented programming
Learn the basics of object-oriented programming in Python using classes, work with tiled images - Week 3 - Week 7 - Basic game physics, sprites
Understand the math of acceleration and friction, work with sprites, add sound to your game - Week 4 - Week 8 - Sets and animation
Learn about sets in Python, compute collisions between sprites, animate sprites
教师
Joe Warren
Professor
Computer Science
Scott Rixner
Professor
Computer Science
John Greiner
Lecturer
Department of Computer Science
Stephen Wong
Lecturer
Computer Science
内容设计师

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。