Mastering Programming with MATLAB
Master advanced MATLAB programming methodologies and techniques for developing efficient scientific and engineering computational solutions.
Master advanced MATLAB programming methodologies and techniques for developing efficient scientific and engineering computational solutions.
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
(408 ratings)
41,640 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Master advanced function concepts including recursion and handles
Develop efficient and optimized MATLAB code
Implement object-oriented programming principles
Create professional graphical user interfaces
Write and utilize Live Scripts
Design standalone MATLAB applications
Skills you'll gain
This course includes:
12.6 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course builds upon foundational MATLAB programming knowledge to teach advanced concepts and techniques. Students learn sophisticated programming concepts including recursion, vectorization, and object-oriented programming. The curriculum covers algorithm efficiency, advanced function concepts, and professional application development with graphical user interfaces. Through hands-on assignments and a final project, students develop skills in creating efficient, professional-grade MATLAB applications for engineering and scientific computing.
Introduction
Module 1 · 42 Minutes to complete
Functions Revisited
Module 2 · 13 Hours to complete
Potpourri
Module 3 · 7 Hours to complete
How to Write Efficient Code?
Module 4 · 6 Hours to complete
Object Oriented Programming
Module 5 · 4 Hours to complete
Applications
Module 6 · 2 Hours to complete
Final Project
Module 7 · 20 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.
Testimonials
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4.8 course rating
408 ratings
Frequently asked questions
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