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.
Created by: École Polytechnique Fédérale de Lausanne
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 |
Syllabus
WEEK 1
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 videos, 11 readings
- 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
WEEK 2
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 videos
- 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
Graded: Bloxorz
WEEK 3
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 videos
- 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
Graded: Quickcheck
WEEK 4
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 videos
- 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
Graded: Calculator
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| Purchase Course | Audit | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Available | Not available |
| Receive a final grade | Available | Not available |
| Earn a shareable Course Certificate | Available | Not available |
Ratings and Reviews
nice and interesting
Great course too!
Very good~
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MW
This course was a more or less succsessful excerpt of the course "Reactive Programming in Scala" wich can still be found on youtube and in the net. The course only covers about 3 of the 7 weeks of the original course. But it seems to me that this first part of the reactive course was better than the other parts, that were tougt by other instructors. But, still a great course that tought me a lot.