About this course: 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.
Taught by: Martin Odersky, Professor
Computer Science
| Basic Info | Course 2 of 5 in the Functional Programming in Scala Specialization |
| Level | Intermediate |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: Tools Setup for Linux
- Video: Tools Setup for Mac OS X
- Video: Tools for Setup for Windows
- Video: Tutorial: Working on the Programming Assignments
- Reading: Troubleshooting
- Reading: Grading Policy
- Reading: Tools Setup
- Reading: Sbt Tutorial
- Reading: Eclipse Tutorial
- Reading: Intellij IDEA Tutorial
- Reading: Scala Tutorial
- Reading: Cheat Sheet
- Reading: Reactive Cheat Sheet
- Reading: Scala Style Guide
- Reading: Learning Resources
- Ungraded Programming: Example Assignment
- Video: Recap: Functions and Pattern Matching
- Video: Recap: Collections
- Video: Lecture 1.1 - Queries with For
- Video: Lecture 1.2 - Translation of For
- Video: Lecture 1.3 - Functional Random Generators
- Video: Lecture 1.4 - Monads
- Video: Lecture 2.1 - Structural Induction on Trees
- Video: Lecture 2.2 - Streams
- Video: Lecture 2.3 - Lazy Evaluation
- Video: Lecture 2.4 - Computing with Infinite Sequences
- Video: Lecture 2.5 - Case Study: the Water Pouring Problem
- Ungraded Programming: Bloxorz
- Video: Lecture 3.1 - Functions and State
- Video: Lecture 3.2 - Identity and Change
- Video: Lecture 3.3 - Loops
- Video: Lecture 3.4 - Extended Example: Discrete Event Simulation
- Video: Lecture 3.5 - Discrete Event Simulation: API and Usage
- Video: Lecture 3.6 - Discrete Event Simulation: Implementation and Test
- Ungraded Programming: Quickcheck
- Video: Lecture 4.1 - Imperative Event Handling: The Observer Pattern
- Video: Lecture 4.2 - Functional Reactive Programming
- Video: Lecture 4.3 - A Simple FRP Implementation
- Video: Lecture 4.4 - Latency as an Effect 1
- Video: Lecture 4.5 - Latency as an Effect 2
- Video: Lecture 4.6 - Combinators on Futures 1
- Video: Lecture 4.7 - Combinators on Futures 2
- Video: Lecture 4.8 - Composing Futures 1
- Video: Lecture 4.9 - Implementation of flatMap on Future
- Video: Lecture 4.10 - Composing Futures 2
- Video: Conclusion
- Ungraded Programming: Calculator
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Course is very informative, but has a few "formatting" issues:
Fix references to another lectures. Sometimes they are talking about lectures that don't even exist
In one of the first weeks it was proved that Try is not a monad. And later in the last week video other lecturer call it a monad. It is not anything huge, but makes feeling that content a bit inaccurate.
Week 4 / Combinators on Future 1/2 / Future recap - flatMap result type is incorrect
The course topics seem a little disjoint, some complex topics like monads and futures require more examples or a more throrough explanation. Excercises seem to be related arbitrarily to the course topcis, for example exercise on week 3 about generators needs material from week 1.
Good course, wish is expanded more on Functional Program Design.
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LY
Really great