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Functional Programming Principles in Scala

Approx. 45 hours to complete

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Course Summary

Learn functional programming in Scala, a programming language that is becoming increasingly popular for its concise syntax and powerful features.

Key Learning Points

Learn the principles of functional programming and how to apply them in Scala
Understand how to work with immutable data structures, lazy evaluation, and higher-order functions
Develop the skills to write concise and elegant code that is easy to read and maintain

Learning Outcomes

Ability to write functional programs in Scala
Understanding of functional programming principles
Improved coding skills and ability to write concise and elegant code

Prerequisites or good to have knowledge before taking this course

Basic knowledge of programming concepts
Familiarity with an object-oriented programming language

Course Difficulty Level

Intermediate

Course Format

Self-paced
Online
Video Lectures
Assignments
Quizzes

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Description

Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.

In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically. The course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments. 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.

Knowledge

Understand the principles of functional programming
Write purely functional programs, using recursion, pattern matching, and higher-order functions
Design immutable data structures
Combine functional programming with objects and classes

Outline

Getting Started + Functions & Evaluation
Course Introduction
Tools Setup for Linux
Tools Setup for Mac OS X
Tools Setup for Windows
Lecture 1.1 - Programming Paradigms
Lecture 1.2 - Elements of Programming
Lecture 1.3 - Evaluation Strategies and Termination
Lecture 1.4 - Conditionals and Value Definitions
Lecture 1.5 - Example: square roots with Newton's method
Lecture 1.6 - Blocks and Lexical Scope
Lecture 1.7 - Tail Recursion
Tools Setup (Please read)
Cheat Sheet
IntelliJ IDEA Tutorial
SBT tutorial and Submission of Assignments (Please read)
Learning Resources
Scala Tutorial
Scala Style Guide
Learning check-in

Higher Order Functions
Lecture 2.1 - Higher-Order Functions
Lecture 2.2 - Currying
Lecture 2.3 - Example: Finding Fixed Points
Lecture 2.4 - Scala Syntax Summary
Lecture 2.5 - Functions and Data
Lecture 2.6 - More Fun With Rationals
Lecture 2.7 - Evaluation and Operators

Data and Abstraction
Lecture 3.1 - Class Hierarchies
Lecture 3.2 - How Classes Are Organized
Lecture 3.3 - Polymorphism

Types and Pattern Matching
Lecture 4.1 - Objects Everywhere
Lecture 4.2 - Functions as Objects
Lecture 4.3 - Subtyping and Generics
Lecture 4.4 - Variance (Optional)
Lecture 4.5 - Decomposition
Lecture 4.6 - Pattern Matching
Lecture 4.7 - Lists

Lists
Lecture 5.1 - More Functions on Lists
Lecture 5.2 - Pairs and Tuples
Lecture 5.3 - Implicit Parameters
Lecture 5.4 - Higher-Order List Functions
Lecture 5.5 - Reduction of Lists
Lecture 5.6 - Reasoning About Concat
Lecture 5.7 - A Larger Equational Proof on Lists

Collections
Lecture 6.1 - Other Collections
Lecture 6.2 - Combinatorial Search and For-Expressions
Lecture 6.3 - Combinatorial Search Example
Lecture 6.4 - Maps
Lecture 6.5 - Putting the Pieces Together
Conclusion

Summary of User Reviews

Discover the fundamentals of functional programming with this comprehensive course from Coursera. Many users have praised the course for its engaging instructors and easy-to-follow curriculum.

Key Aspect Users Liked About This Course

The instructors are engaging and the curriculum is easy to follow.

Pros from User Reviews

Instructors are knowledgeable and approachable
Assignments help solidify understanding of concepts
Course is well-structured and easy to follow

Cons from User Reviews

Some users found the pacing to be too slow
Not enough practical application of concepts
Some users felt that the course was too theoretical

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