关键信息
关于内容
Investigate the basic concepts behind programming languages, with an emphasis on the techniques and benefits of functional programming. Use the programming languages ML, Racket, and Ruby to learn how the pieces of a language fit together to create more than the sum of the parts. Gain new software skills and the concepts needed to learn new languages on your own.
课程大纲
Note: About half the students completing prior offerings report an estimated workload of 8-12 hours / week is accurate while most of the other half spent more time -- 15 hours / week or more. Workload naturally differs for different people depending on one's background. Do see the recommended-background section below.
Topics (most of which may not mean anything to you until you take the course):
- Syntax vs. semantics vs. idioms vs. libraries vs. tools
- ML basics (bindings, conditionals, records, functions)
- Recursive functions and recursive types
- Benefits of no mutation
- Algebraic datatypes, pattern matching
- Tail recursion
- First-class functions and function closures
- Lexical scope
- Currying
- Syntactic sugar
- Equivalence and effects
- Parametric polymorphism and container types
- Type inference
- Abstract types and modules
- Racket basics
- Dynamic vs. static typing
- Laziness, streams, and memoization
- Implementing languages, especially higher-order functions
- Macros
- Eval
- Ruby basics
- Object-oriented programming is dynamic dispatch
- Pure object-orientation
- Implementing dynamic dispatch
- Multiple inheritance, interfaces, and mixins
- OOP vs. functional decomposition and extensibility
- Subtyping for records, functions, and objects
- Subtyping
- Class-based subtyping
- Subtyping vs. parametric polymorphism; bounded polymorphism
教师
- - Computer Science & Engineering
内容设计师
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
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。
