Introduction to Programming with MATLAB
Master fundamental programming concepts and MATLAB implementations for comprehensive engineering and scientific computing applications.
Master fundamental programming concepts and MATLAB implementations for comprehensive engineering and scientific computing applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full MATLAB Programming for Engineers and Scientists Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(17,645 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Master fundamental computer programming concepts and syntax
Understand variables, control structures, and functions
Work with various data types including matrices
Develop skills in MATLAB's powerful matrix operations
Learn file input/output operations
Create efficient and well-structured programs
Skills you'll gain
This course includes:
12.4 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This comprehensive course introduces students to computer programming using MATLAB, a powerful tool for engineers and scientists. The curriculum covers fundamental programming concepts including variables, control structures, functions, and data types, with a special focus on MATLAB's matrix operations. Students learn through hands-on programming assignments and practical examples, progressing from basic calculations to complex file operations. The course emphasizes problem-solving skills and algorithm development, providing a solid foundation for scientific and engineering computations.
Course Pages
Module 1 · 32 Minutes to complete
The MATLAB Environment
Module 2 · 3 Hours to complete
Matrices and Operators
Module 3 · 2 Hours to complete
Functions
Module 4 · 2 Hours to complete
Programmer's Toolbox
Module 5 · 2 Hours to complete
Selection
Module 6 · 4 Hours to complete
Loops
Module 7 · 6 Hours to complete
Data Types
Module 8 · 5 Hours to complete
File Input/Output
Module 9 · 6 Hours to complete
Fee Structure
Instructors
Professor of Computer Engineering, Computer Science and Electrical Engineering
Dr. Ákos Lédeczi is a leading researcher in wireless sensor networks (WSN) and Model Integrated Computing. His team developed one of the first WSN-based countersniper systems, which has evolved into a soldier-wearable version capable of highly accurate shooter localization, as well as identifying the caliber and weapon type. The most recent iteration of the system is smartphone-based. Additionally, Dr. Lédeczi's work in Model Integrated Computing includes the development of the Web-based Generic Modeling Environment, an open-source, web- and cloud-based toolkit for creating domain-specific visual modeling and program synthesis environments.
Professor Emeritus of Computer Science, Computer Engineering, Electrical Engineering, Neurosurgery, and Radiology
Mike Fitzpatrick is doing research in computer-assisted surgery, image registration, and medical imaging.
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4.8 course rating
17,645 ratings
Frequently asked questions
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