Functional Programming Principles in Scala (Scala 2 version) (Coursera)

Functional Programming Principles in Scala (Scala 2 version) (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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, such as modeling business domains or implementing business logic. 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.
What You Will Learn

  • 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

Syllabus

WEEK 1
Getting Started + Functions & Evaluation
Get up and running with Scala on your computer. Complete an example assignment to familiarize yourself with our unique way of submitting assignments. In this week, we'll learn the difference between functional imperative programming. We step through the basics of Scala; covering expressions, evaluation, conditionals, functions, and recursion

WEEK 2
Higher Order Functions
This week, we'll learn about functions as first-class values, and higher order functions. We'll also learn about Scala's syntax and how it's formally defined. Finally, we'll learn about methods, classes, and data abstraction through the design of a data structure for rational numbers.

WEEK 3
Data and Abstraction
This week, we'll cover traits, and we'll learn how to organize classes into hierarchies. We'll cover the hierarchy of standard Scala types, and see how to organize classes and traits into packages. Finally, we'll touch upon the different sorts of polymorphism in Scala.

WEEK 4
Types and Pattern Matching
This week we'll learn about the relationship between functions and objects in Scala; functions are objects! We'll zoom in on Scala's type system, covering subtyping and generics, and moving on to more advanced aspects of Scala's type system like variance. Finally, we'll cover Scala's most widely used data structure, Lists, and one of Scala's most powerful tools, pattern matching.

WEEK 5
Lists
This week we dive into Lists, the most commonly-used data structure in Scala.

WEEK 6
Collections
After a deep-dive into Lists, this week we'll explore other data structures; vectors, maps, ranges, arrays, and more. We'll dive into Scala's powerful and flexible for-comprehensions for querying data.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Programming Languages, Part C (Coursera) Coursera
University of Washington

Programming Languages, Part C (Coursera)

This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.

Oct 19th 2026
3 Weeks
Animation with JavaScript and jQuery (Coursera) Coursera
University of California, Davis

Animation with JavaScript and jQuery (Coursera)

With the general introduction of JavaScript in the first course, this course will focus on JavaScript libraries, specifically jQuery. The scripts will be geared toward Document Object Model (DOM) manipulation. Learners will describe the top JavaScript libraries and differentiate which would work best to implement and accelerate development of web page animation.

Oct 5th 2026
4 Weeks
Software Construction: Data Abstraction (edX) EdX
The University of British Columbia,UBCx

Software Construction: Data Abstraction (edX)

Learn powerful data abstraction and decomposition techniques to build large, complex programs. The course begins with the topic of data abstraction - from specification to implementation. Particular attention is given to how to write robust tests using JUnit. Then the course expands on these ideas to explore how type hierarchies and polymorphism can be used to decrease redundancy in your code. The course wraps up with a discussion of how to design robust classes.

Self Paced
Self-Paced
Functional Programming in Haskell: Supercharge Your Coding (FutureLearn) FutureLearn
University of Glasgow

Functional Programming in Haskell: Supercharge Your Coding (FutureLearn)

Get an introduction to Haskell, the increasingly popular functional programming language, with this University of Glasgow course. Do you want to develop software using the latest programming language paradigm? Haskell is a functional programming language, based on formal mathematical principles. As such, it is easy to reason about and develop, and it executes efficiently on modern multicore machines. From investment banks to social networks, everyone is adopting Haskell.

Self Paced
5-12 Weeks
Functional Programming in Scala Capstone (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

Oct 5th 2026
5-12 Weeks
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Oct 5th 2026
4 Weeks
Computer Science: Programming with a Purpose (Coursera) Coursera
Princeton University

Computer Science: Programming with a Purpose (Coursera)

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.

Oct 5th 2026
5-12 Weeks
Parallel programming (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Parallel programming (Scala 2 version) (Coursera)

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library.

Oct 5th 2026
4 Weeks
C++ Object Basics: Functions, Recursion, and Objects (Coursera) Coursera
Codio

C++ Object Basics: Functions, Recursion, and Objects (Coursera)

Code and run your first C++ program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but core Computer Science topics that can be transferred to other languages. The modules in this course cover functions, recursion, objects, and mutability. Completion of the prior 2 courses in this specialization are recommended.

Oct 5th 2026
4 Weeks
Functional Program Design in Scala (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Program Design in Scala (Coursera)

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.

Oct 12th 2026
5-12 Weeks
Programming Reactive Systems (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Programming Reactive Systems (Scala 2 version) (Coursera)

Reactive programming is a set of techniques for implementing scalable, resilient and responsive systems as per the Reactive Manifesto. Such systems are based on asynchronous message-passing, and their basic building-blocks are event handlers. This course teaches how to implement reactive systems in Scala and Akka by using high-level abstractions, such as actors, asynchronous computations, and reactive streams.

Oct 5th 2026
5-12 Weeks