本課程是 Functional Programming in Scala 專項課程 專項課程的一部分
Functional Program Design in Scala
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課程信息
4.5
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In this course you will learn how to apply the functional programming style in the design of larger applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world.
Several parts of this course deal with the question how functional programming interacts with mutable state. We will explore the consequences of combining functions and state. We will also look at purely functional alternatives to mutable state, using infinite data structures or functional reactive programming.
Learning Outcomes. By the end of this course you will be able to:
- recognize and apply design principles of functional programs,
- design functional libraries and their APIs,
- competently combine functions and state in one program,
- understand reasoning techniques for programs that combine
functions and state,
- write simple functional reactive applications.
Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Programming Principles in Scala: https://www.coursera.org/learn/progfun1.
您將獲得的技能
StreamsFunctional DesignReactive ProgrammingFunctional Programming
教學大綱 - 您將從這門課程中學到什麼
1
章節
For Expressions and Monads
We'll start by revisiting some concepts that we have learned from Principles of Functional Programming in Scala; collections, pattern matching, and functions. We'll then touch on for-comprehensions, a powerful way in Scala to traverse a list, process it, and return a new list. We'll see how to do queries with for-comprehensions as well as how the for-comprehension is "desugared" into calls to higher-order functions by the Scala compiler. Finally, we'll discuss what monads are, and how to verify that the monad laws are satisfied for a number of examples.
10 個視頻（共 164 分鐘）, 11 個閱讀材料, 1 個測驗
10 個視頻
Tools Setup for Mac OS X21分鐘
Tools for Setup for Windows18分鐘
Tutorial: Working on the Programming Assignments8分鐘
Recap: Functions and Pattern Matching19分鐘
Recap: Collections12分鐘
Lecture 1.1 - Queries with For7分鐘
Lecture 1.2 - Translation of For11分鐘
Lecture 1.3 - Functional Random Generators19分鐘
Lecture 1.4 - Monads20分鐘
11 個閱讀材料
Troubleshooting10分鐘
Grading Policy10分鐘
Tools Setup10分鐘
Sbt Tutorial10分鐘
Eclipse Tutorial10分鐘
Intellij IDEA Tutorial10分鐘
Scala Tutorial10分鐘
Cheat Sheet10分鐘
Reactive Cheat Sheet10分鐘
Scala Style Guide10分鐘
Learning Resources10分鐘
2
章節
Lazy Evaluation
This week we'll revisit performance issues caused by combinatorial search, and we'll discover an important concept in functional programming that can these issues: laziness. We'll also learn a little bit about proofs on trees; in particular, we'll see how to extend structural induction to trees.
5 個視頻（共 80 分鐘）, 2 個測驗
5 個視頻
Lecture 2.2 - Streams12分鐘
Lecture 2.3 - Lazy Evaluation11分鐘
Lecture 2.4 - Computing with Infinite Sequences9分鐘
Lecture 2.5 - Case Study: the Water Pouring Problem31分鐘
3
章節
Functions and State
This week, we'll learn about state and side-effects. Through a rich example, we'll learn programming patterns for managing state in larger programs. We'll also learn about for-loops and while-loops in Scala.
6 個視頻（共 72 分鐘）, 2 個測驗
6 個視頻
Lecture 3.2 - Identity and Change8分鐘
Lecture 3.3 - Loops8分鐘
Lecture 3.4 - Extended Example: Discrete Event Simulation10分鐘
Lecture 3.5 - Discrete Event Simulation: API and Usage10分鐘
Lecture 3.6 - Discrete Event Simulation: Implementation and Test18分鐘
4
章節
Timely Effects
This week we'll learn a number of important programming patterns via examples, starting with the observer pattern, and then going on to functional reactive programming. We'll learn how latency can be modeled as an effect, and how latency can be handled with Scala's monadic futures. We'll learn the important combinators on futures as well as how they can be composed to build up rich and responsive services.
11 個視頻（共 109 分鐘）, 2 個測驗
11 個視頻
Lecture 4.2 - Functional Reactive Programming20分鐘
Lecture 4.3 - A Simple FRP Implementation19分鐘
Lecture 4.4 - Latency as an Effect 17分鐘
Lecture 4.5 - Latency as an Effect 212分鐘
Lecture 4.6 - Combinators on Futures 19分鐘
Lecture 4.7 - Combinators on Futures 27分鐘
Lecture 4.8 - Composing Futures 14分鐘
Lecture 4.9 - Implementation of flatMap on Future3分鐘
Lecture 4.10 - Composing Futures 28分鐘
Conclusion4分鐘
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創建者 RP•Sep 15th 2016
This is a university degree course which takes enormous effort to complete. But still its beond the programming course range giving you whats not possible to google or learn practical way. Thanks!
創建者 ES•Mar 18th 2018
Thank you for this exciting course! I did the FP in Scala course a few years ago and decided to do the full certification now. I am looking forward to the next courses in the specialisation.
講師
Martin Odersky
ProfessorComputer Science
關於 École Polytechnique Fédérale de Lausanne
關於 Functional Programming in Scala 專項課程
Discover how to write elegant code that works the first time it is run.
This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.
常見問題
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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