Online Course – Certified Professional Internship in Functional Programming at the École Polytechnique Fédérale de Lausanne

Principles of functional programming in Scala

• Course 1
• 56 hours
• 4.8 (8,242 ratings)
• Course Details
• What you’ll learn
• Understand the principles of functional programming
• Write pure functional programs, using recursion, pattern matching, and high-level functions
• Design immutable data structures
• Combine functional programming with objects and classes
• Skills you will acquire
• Category: Recursion
• Category: Scala Programming
• Category: High-order functions
• Category: Immutable tapes
• Category: Functional Programming

Design of functional programs in Scala

• Course 2
• 35 hours
• 4.5 (3,132 ratings)
• Course Details
• What you’ll learn
• Recognize and apply design principles of functional programs
• Design functional libraries and their APIs
• Write simple reactive functional apps
• Understand logic techniques for programs that combine functions and condition
• Skills you will acquire
• Category: Data Structures
• Category: Parallel Computing
• Category: Data-driven parallelism
• Category: Parallel algorithms

Parallel programming

• Course 3
• 32 hours
• 4.4 (1,839 ratings)
• Course Details
• What you’ll learn
• With every smartphone and computer today having multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly common.
• In this course, you will learn the basics of parallel programming, from parallel recursion to data-driven parallelism.
• See how well-known ideas from functional programming fit the data-driven parallelism paradigm.
• We will start with the practical aspects of how to plan operations for known collections, and move on to managing parallel collections.
• We will apply these concepts through several practical examples that analyze real-world data.
• Learning outcomes
• At the end of the course you will be able to:
• Explain about parallel programs of tasks and data
• Express common algorithms in functional style and solve them in parallel
• Perform micro-benchmarking for parallel software
• Write programs that effectively use parallel collections to achieve performance
• Recommended background characterization
• You must have at least one year of programming experience.
• Skills with Java or C# are ideal, but experience with other languages ​​such as C/C++, Python, Javascript or Ruby is also satisfactory.
• You should be familiar with using the command line.
• The course is intended to be taken after designing functional programs in Scala.

Functional Programming and Big Data with Scala and Spark

• Course 4
• 27 hours
• 4.6 (2,586 ratings)
• Course Details
• What you’ll learn
• Manipulating big data distributed across a cluster using functional ideas is common in the industry.
• This is reflected in the popularity of MapReduce and Hadoop, and more recently, Apache Spark.
• We will see how the data-based parallelism paradigm can be extended to the case of distribution.
• We will cover the Spark programming model in detail.
• We will learn when to consider important distribution-related issues such as latency and network communication.
• Learning outcomes
• At the end of the course you will be able to:
• Read data from persistent storage and load it into Apache Spark
• For data manipulation with Spark and Scala
• Express data analysis algorithms in a functional style
• Identify how to avoid duplication and relaunches in Spark
• Recommended background characterization
• You must have at least one year of programming experience.
• Skills with Java or C# are ideal, but experience with other languages ​​such as C/C++, Python, Javascript or Ruby is also satisfactory.
• You should be familiar with using the command line.
• The course is intended to be taken after parallel programming.

Functional programming in a final project in Scala

• Course 5
• 32 hours
• 4.4 (544 ratings)
• Course Details
• What you’ll learn
• In the final project, you will apply the skills you have learned by building a large, data-heavy application.
• This app will display interactive visualizations of temperature trends over time all over the world.
• The development of such an application will include:
• Converting data provided by weather stations into meaningful information.
• Creating images from this information using spatial and linear interpolation techniques.
• Implementing how the user interface will respond to user actions.

Skills you will acquire

• Category: Scala Software
• Category: Big Data
• Category: SQL
• Category: Apache Spark