MATLAB and Octave Essentials
Learn essential MATLAB and Octave programming for scientific calculations, data analysis, and computational problem-solving.
Learn essential MATLAB and Octave programming for scientific calculations, data analysis, and computational problem-solving.
Dive into the world of scientific computing with this hands-on, 4-week course on MATLAB and Octave programming. Perfect for beginners, this course offers a comprehensive introduction to these powerful mathematical tools. You'll learn to manipulate vectors and matrices, create data visualizations, and write functions for complex calculations. The curriculum covers essential skills such as script writing, data file handling, and interactive program development. By the end of the course, you'll be able to plot graphics, save them in various formats, and organize your work efficiently using scripts and functions. Whether you're a student, researcher, or professional looking to enhance your data analysis skills, this course provides a solid foundation in MATLAB and Octave programming.
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What you'll learn
Learn to use MATLAB and Octave for scientific computing and data analysis
Master vector and matrix manipulation techniques
Develop skills in writing and using scripts and functions for efficient programming
Understand how to handle and process data files in MATLAB and Octave
Create visually appealing graphics and save them in different formats
Build interactive programs to enhance user engagement with your analyses
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This introductory course provides a comprehensive foundation in MATLAB and Octave programming for scientific computing. Over four weeks, students will learn the fundamentals of these mathematical tools, focusing on practical applications. The curriculum covers essential skills such as vector and matrix manipulation, data file handling, and graphical representation of results. Students will learn to write and use scripts and functions, enhancing their productivity in data analysis and computation. The course emphasizes hands-on learning, with students experimenting with advanced mathematical functions and producing matrix visualizations. By the end, participants will be able to create interactive programs, plot graphics, and save them in various formats. The course is designed to be accessible to beginners with no prior programming experience, though a basic understanding of mathematical concepts is required.
Fee Structure
Instructor
2 Courses
Expert in Numerical Analysis and Scientific Computing
Simone Deparis is a Senior Scientist (Maître d'Enseignement et de Recherche) at École polytechnique fédérale de Lausanne (EPFL) since 2006. His research focuses on numerical analysis and scientific computing, with particular emphasis on developing and analyzing numerical methods for solving complex mathematical problems. At EPFL, he teaches undergraduate and graduate courses in linear algebra, numerical analysis, and programming. His expertise contributes to advancing computational methods and mathematical modeling techniques essential for solving engineering and scientific problems. Through his teaching and research activities, Deparis plays a crucial role in preparing the next generation of scientists and engineers while advancing the field of numerical analysis.
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