C++ Scientific Programming

C++ is the best choice for efficient and effective programming in Research Datamining & Scientific Computing. In this course, we will hands-on the latest C++17 for Scientific Programming. Learn from the basics of C++ to the advanced and useful libraries like STL, BOOST, OpenMP and MPI!

  • 5
  • 7 Enrolled
  • Intermediate
  • Description

    The 'Scientific Programming with C++' is easiest and the most innovative hands-on practical C++ course for learning scientific and research data programming! While languages like Python and R are increasingly popular for Scientific Programming or Data sciences, C/ C++ can be a stronger choice for efficient and effective data and scientific computing.

    In this course, we hands-on the latest C++17 for Scientific Programming.  The focus of this course lies on learning beginner to advanced programming on high-performance computers, object-oriented software design, generic or template-based programming, and the efficient implementation of numerical algorithms. Main learning goals in this awesome course can be formulated as:

    - Get a basic concepts on the programming with C++.
    - Learn how to program with modern C++, using generic programming and advanced techniques, like meta programming, expression templates, and concepts.
    - Learn how to use programming tools and you can apply these tools to debug, benchmark, and manage your code. The list of tools include compilers, build systems, version control, debuggers, and profilers.
    - Learn to read, understand, and utilize (scientific) software libraries, like BLAS (Basic Linear Algebra Subroutines), LAPACK (Linear Algebra Package), STL (Standard template library), Boost (portable C++ library).
    -Learn how to code in HPC, using OpenMP and MPI.

    There are numerous hands-on to practice the C++ programming throughout the course. Happy coding!

    Requirements

    • You will need a grasp of basic C++. It is a self-learning course with all Linux environments provided.

    Outcome

    • Understand programming C++ basics to the advanced C++ 17
    • Knowledge on developing complex C++ scientific applications
    • Learn about C++ libraries STL, BOOST, MPI, OpenMP
    • Be in a position to apply for Developer jobs, PhD and research positions requiring good C++
  • Instructor Profile

    Scientific Programming Team Instructor Teaching 46 students

    The Scientific Programming Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.

  • Student feedback

    5
    Course Rating
    0 %
    0 %
    0 %
    0 %
    100 %

    Reviews (1)

    • Rob AndersStudent

      This is a beginner to advanced level C++ course many libraries discussed like LAPACK, MKL, CUDA, OpenMP. Very informative!

  • COURSE DISCORD

C++ Scientific Programming

C++ is the best choice for efficient and effective programming in Research Datamining & Scientific Computing. In this course, we will hands-on the latest C++17 for Scientific Programming. Learn from the basics of C++ to the advanced and useful libraries like STL, BOOST, OpenMP and MPI!

$5  $25 sale ends 24/10/2020

Course includes

6 videos
110 playgrounds
8 illustrations
2 terminals

1-CLICK COURSE PURCHASE

Buy Now $5!

  Already purchased? Please Login with your purchasing email and resume from dashboard!

SIMILAR COURSES

PRACTICE CONSOLE