Coursera Solutions and Grades achieved

This repo contains my solutions to the problems of Coursera courses I have accomplished

• Functional Program Design in Scala by Martin Odersky. École Polytechnique Fédérale de Lausanne
  • 35 hours (approximately)
  • design principles of functional programs
  • simple functional reactive applications
  • Design functional libraries and their APIs
  • Understand reasoning techniques for programs that combine functions and state
  • Repo progfun2
• Parallel programming École Polytechnique Fédérale de Lausanne
  • 32 hours (approximately)
  • Grade Achieved: 100%
  • Data Structure, Parallel Computing, Data Parallelism, Parallel Algorithm
  • Repo parprog1
• Principles of Reactive Programming by Martin Odersky, École Polytechnique Fédérale de Lausanne:
  • Grade Achieved: 96.37%
  • Repo reactive-002
• Big Data Analysis with Scala and Spark École Polytechnique Fédérale de Lausanne
  • Grade Achieved: 100
  • 27 hours (approximately)
  • Scala Programming, Big Data, SQL, Apache Spark
  • Repos: scala-spark-big-data, observatory
• Machine Learning, Stanford University
  • Grade Achieved: 97.25%
  • Repo: machine-learning
• Algorithms, Part I and Part II by Robert Sedgewick and Kevin Wayne. Princeton University
  • Grade Achieved: 98%
  • Repos: algs4partI, algs4partII